FN Clarivate Analytics Web of Science
VR 1.0
PT J
AU Toh, ML
AF Toh, Ming Liang
TI Mapping the application of Geographic Information System (GIS) in real
   estate: a bibliometric analysis using bibliometrix and QGIS
SO SURVEY REVIEW
LA English
DT Article; Early Access
DE Word; GIS; Real Estate; bibliometric analysis; bibliometrix; QGIS
ID TEMPORALLY WEIGHTED REGRESSION; URBAN EXPANSION; HOUSING-MARKET; MODELS
AB This study presents a comprehensive bibliometric analysis of Geographic Information System (GIS) applications in real estate, in line with the lack of systematic mapping in this domain. A total of 533 peer-reviewed articles published between 2000 and 2025 were retrieved from the Scopus database and analysed using the Bibliometrix R package and QGIS software. The study highlights the growing academic and practical importance of GIS as a decision-support tool in real estate. The findings offer valuable insights for policymakers, practitioners, and researchers seeking to enhance spatial data use in the real estate sector.
C1 [Toh, Ming Liang] Univ Technol Sarawak, Sch Built Environm, Jalan Univ, Sibu 96000, Sarawak, Malaysia.
RP Toh, ML (corresponding author), Univ Technol Sarawak, Sch Built Environm, Jalan Univ, Sibu 96000, Sarawak, Malaysia.
EM tohmingliang@uts.edu.my
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NR 53
TC 0
Z9 0
U1 1
U2 1
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0039-6265
EI 1752-2706
J9 SURV REV
JI Surv. Rev.
PD 2026 FEB 25
PY 2026
DI 10.1080/00396265.2026.2635057
EA FEB 2026
PG 12
WC Engineering, Civil; Geosciences, Multidisciplinary; Remote Sensing
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Engineering; Geology; Remote Sensing
GA EJ5HG
UT WOS:001702577900001
DA 2026-03-28
ER
PT J
AU Büyükkidik, S
AF Buyukkidik, Serap
TI A Bibliometric Analysis: A Tutorial for the Bibliometrix Package in R
   Using IRT Literature
SO JOURNAL OF MEASUREMENT AND EVALUATION IN EDUCATION AND PSYCHOLOGY-EPOD
LA English
DT Article
DE bibliometric analysis; item response theory (IRT); biblioshiny;
   bibliometrix
ID SCIENCE; INFORMETRICS; DIMENSION; JOURNALS; FIELD; TOOL
AB The bibliometrix package in R programming language, which is frequently used in bibliometric analysis, was introduced in this research. The article aimed to illustrate the various analyses applied in a bibliometric study. For this purpose, articles containing the "item response theory" (IRT) or "item response modeling" or "item response model" terms in the abstract were searched in the Thomson Reuters Clarivate Analytics Web of Science (WoS at http://www.webofknowledge.com), and bibliometric data was downloaded. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) steps were followed in the study. Data from 3388 IRT-related articles on education and psychology, searched between 2001 and 2021, were used in the study. Data were analyzed with the bibliometrix package. Some of the stages in data analysis were shared with screenshots. As a result of data analysis through the real data set, the author's keywords related to IRT were item response model, differential item functioning, psychometrics, assessment, measurement, reliability, validity, Rasch model, and measurement invariance. The countries with the highest number of citations in IRT studies were the USA, Canada, Netherlands, United Kingdom, and China, respectively. Turkey ranked 12th in IRT studies with 434 citations. It was thought that bibliometric analysis of articles related to IRT would shed light on researchers in the field of psychometrics.
C1 [Buyukkidik, Serap] Sinop Univ, Fac Educ, Sinop, Turkey.
C3 Sinop University
RP Büyükkidik, S (corresponding author), Sinop Univ, Fac Educ, Sinop, Turkey.
EM sbuyukkidik@gmail.com
RI Buyukkidik, Serap/MFJ-0972-2025
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NR 39
TC 55
Z9 92
U1 5
U2 154
PU ASSOC MEASUREMENT & EVALUATION EDUCATION & PSYCHOLOGY
PI ANKARA
PA ASSOC MEASUREMENT & EVALUATION EDUCATION & PSYCHOLOGY, ANKARA, 00000,
   Turkiye
SN 1309-6575
J9 J MEAS EVAL EDUC PSY
JI J. Meas. Eval. Educ. Psychol.-EPOD
PY 2022
VL 13
IS 3
BP 164
EP 193
DI 10.21031/epod.1069307
PG 30
WC Psychology, Educational
WE Emerging Sources Citation Index (ESCI)
SC Psychology
GA 5L2HN
UT WOS:000870236000001
OA Green Submitted, gold
DA 2026-03-28
ER
PT J
AU Aria, M
   Cuccurullo, C
AF Aria, Massimo
   Cuccurullo, Corrado
TI bibliometrix: An R-tool for comprehensive science mapping
   analysis
SO JOURNAL OF INFORMETRICS
LA English
DT Article
DE sBibliometrics; Science mapping; Workflow; Co-citation; Bibliographic
   coupling; R package
ID INFORMATION-SCIENCE; SCIENTIFIC WORKFLOWS; AUTHOR COCITATION; CITATION
   IMAGE; ALGORITHM; EVOLUTION; NETWORKS; PATTERNS; TRENDS; INDEX
AB The use of bibliometrics is gradually extending to all disciplines. It is particularly suitable for science mapping at a time when the emphasis on empirical contributions is producing voluminous, fragmented, and controversial research streams. Science mapping is complex and unwieldly because it is multi-step and frequently requires numerous and diverse software tools, which are not all necessarily freeware. Although automated workflows that integrate these software tools into an organized data flow are emerging, in this paper we propose a unique open-source tool, designed by the authors, called bibliometrix, for performing comprehensive science mapping analysis. bibliometrix supports a recommended workflow to perform bibliometric analyses. As it is programmed in R, the proposed tool is flexible and can be rapidly upgraded and integrated with other statistical R-packages. It is therefore useful in a constantly changing science such as bibliometrics. (c) 2017 Elsevier Ltd. All rights reserved.
C1 [Aria, Massimo] Univ Napoli Federico II, Dept Econ & Stat, Via Cintia, I-80126 Naples, Italy.
   [Cuccurullo, Corrado] Univ Campania Luigi Vanvitelli, Dept Econ & Management, Capua, CE, Italy.
C3 University of Naples Federico II; Universita della Campania Vanvitelli
RP Aria, M (corresponding author), Univ Napoli Federico II, Dept Econ & Stat, Via Cintia, I-80126 Naples, Italy.
EM aria@unina.it; corrado.cuccurullo@unicampania.it
RI ; Aria, Massimo/O-7983-2015
OI CUCCURULLO, Corrado/0000-0002-7401-8575; Aria,
   Massimo/0000-0002-8517-9411
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NR 67
TC 8858
Z9 11190
U1 316
U2 3443
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1751-1577
EI 1875-5879
J9 J INFORMETR
JI J. Informetr.
PD NOV
PY 2017
VL 11
IS 4
BP 959
EP 975
DI 10.1016/j.joi.2017.08.007
PG 17
WC Computer Science, Interdisciplinary Applications; Information Science &
   Library Science
WE Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
SC Computer Science; Information Science & Library Science
GA FQ0DK
UT WOS:000418020600003
HC Y
HP N
DA 2026-03-28
ER
PT J
AU Jalal, SK
AF Jalal, Samir Kumar
TI Co-authorship and co-occurrences analysis using Bibliometrix R-package:
   a case study of India and Bangladesh
SO ANNALS OF LIBRARY AND INFORMATION STUDIES
LA English
DT Article
DE Research Collaboration; Bibliometrix R-Package; Co-authorship;
   Co-occurrence analysis; Collaboration Network; India; Bangladesh
ID INTERNATIONAL RESEARCH COLLABORATION; INDEX; SCIENCE
AB Research collaboration between India and Bangladesh based on research output of 1156 papers jointly produced by both countries were retrieved from Web of Science for the period of 1991 to 2017.The collaboration network on co-authorship and co-occurrences was build using BibliometrixR package. Top ten keywords have been plotted to show the subject trends in general. VOSviewer was used to build network maps to know the collaborative zones with respect to authors, subjects and keywords. The study shows that the major collaborations were in medical science followed by agriculture and biological sciences. The verification of Lotkas's Law was made using lotka() function in Bibliometrix R package. The finding of the study shows that Lotka's law is still valid for the co-authorship data at the international level.
C1 [Jalal, Samir Kumar] Indian Inst Technol IIT Kharagpur, Cent Lib, Kharagpur 721302, W Bengal, India.
C3 Indian Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Kharagpur
RP Jalal, SK (corresponding author), Indian Inst Technol IIT Kharagpur, Cent Lib, Kharagpur 721302, W Bengal, India.
EM jalalsk1971@gmail.com
RI Jalal, Samir Kumar/AAL-4598-2020
OI Jalal, Samir Kumar/0000-0001-7840-5970
CR Anuradha KT, 2007, SCIENTOMETRICS, V71, P179, DOI 10.1007/s11192-007-1657-4
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NR 22
TC 31
Z9 42
U1 2
U2 57
PU NATL INST SCIENCE COMMUNICATION-NISCAIR
PI NEW DELHI
PA DR K S KRISHNAN MARG, PUSA CAMPUS, NEW DELHI 110 012, INDIA
SN 0972-5423
EI 0975-2404
J9 ANN LIBR INF STUD
JI Ann. Libr. Inf. Stud.
PD JUN
PY 2019
VL 66
IS 2
BP 57
EP 64
DI 10.56042/alis.v66i2.22404
PG 8
WC Information Science & Library Science
WE Emerging Sources Citation Index (ESCI)
SC Information Science & Library Science
GA JV9ZD
UT WOS:000502717900001
DA 2026-03-28
ER
PT J
AU Zhao, ZQ
   Xu, K
   Jiang, YZ
   Xu, XS
   Liu, YL
AF Zhao, Ziqi
   Xu, Kun
   Jiang, Yizhuo
   Xu, Xisheng
   Liu, Yuliang
TI Comment on "Knowledge mapping of B cell and atherosclerosis over the
   past 20 years: A bibliometric analysis"
SO HUMAN VACCINES & IMMUNOTHERAPEUTICS
LA English
DT Article
DE B cell; atherosclerosis; bibliometric; CiteSpace; VOSviewer;
   bibliometrix
C1 [Zhao, Ziqi; Xu, Kun; Jiang, Yizhuo; Xu, Xisheng; Liu, Yuliang] Zhejiang Chinese Med Univ, Sch Basic Med, 548 Binwen Rd,Bldg 9, Hangzhou 310053, Zhejiang, Peoples R China.
C3 Zhejiang Chinese Medical University
RP Liu, YL (corresponding author), Zhejiang Chinese Med Univ, Sch Basic Med, 548 Binwen Rd,Bldg 9, Hangzhou 310053, Zhejiang, Peoples R China.
EM 1693114263@qq.com
RI ; Jiang, Yizhuo/OSH-4440-2025
OI Zhao, Ziqi/0009-0004-9789-2785; 
FU National Administration of Traditional Chinese Medicine National
   Clinical Excellent Talents Training Program [2022-239]
FX The work was supported by National Administration of Traditional Chinese
   Medicine National Clinical Excellent Talents Training Program
   [No.2022-239].
CR Cheng T, 2023, HUM VACC IMMUNOTHER, V19, DOI 10.1080/21645515.2023.2277567
NR 1
TC 0
Z9 0
U1 10
U2 44
PU TAYLOR & FRANCIS INC
PI PHILADELPHIA
PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA
SN 2164-5515
EI 2164-554X
J9 HUM VACC IMMUNOTHER
JI Human Vaccines Immunother.
PD DEC 31
PY 2024
VL 20
IS 1
AR 2372912
DI 10.1080/21645515.2024.2372912
PG 2
WC Biotechnology & Applied Microbiology; Immunology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biotechnology & Applied Microbiology; Immunology
GA J6P3A
UT WOS:001338261400001
PM 39436706
OA Green Submitted, gold
DA 2026-03-28
ER
PT J
AU López, ACC
   Marín, AAL
   Pérez, MAD
AF Lopez, Alejandro Carlos Campina
   Marin, Antonio Alejandro Lorca
   Perez, M. angeles de las Heras
TI Inquiry, modelling and computational thinking: A bibliometrical review
   using bibliometrix through biblioshiny.
SO REVISTA EUREKA SOBRE ENSENANZA Y DIVULGACION DE LAS CIENCIAS
LA English
DT Article
DE bibliometrics; bibliometrix; modelling; computational thinking; inquiry;
   science education learning
AB As its first objective, this article carries out a bibliometric analysis aimed at serving as a guide on how to conduct bibliometrics using Biblioshiny, an interface of the Bibliometrix statistical software. To achieve this, a search has been used as an example, detailing the methodology, procedures, and strategies employed to address research questions and, as a secondary objective, to understand which works jointly develop Computational Thinking, Modelling, and Inquiry in the field of sciences. By utilizing quantitative statistical methods for data visualization, the intention is to identify the most relevant authors and journals, along with their impact indices, as well as the main thematic areas and their temporal evolution, in order to gain insights into what is being studied and how in this field. The results indicate that modelling is one of the salient themes among the 31 selected articles, accomplished through research, construction, and design of simulations in digital environments using block -based programming.
C1 [Lopez, Alejandro Carlos Campina; Marin, Antonio Alejandro Lorca; Perez, M. angeles de las Heras] Univ Huelva, Dept Didact Integradas, Huelva, Spain.
C3 Universidad de Huelva
RP López, ACC (corresponding author), Univ Huelva, Dept Didact Integradas, Huelva, Spain.
EM alejandro.campina@ddi.uhu.com; alejandro.campina@ddi.uhu.com;
   angeles.delasheras@ddcc.uhu.es
RI Campina-López, Alejandro/ABD-9900-2022; Heras Pérez, María Ángeles de
   las/AAB-7319-2020; Lorca Marín, Antonio Alejano/A-6691-2017; Lorca
   Marín, Antonio/A-6691-2017
OI Campina López, Alejano/0000-0002-6221-347X; Heras Pérez, María Ángeles
   de las/0000-0002-3640-8337; Lorca Marín, Antonio
   Alejano/0000-0002-9727-9268; 
CR [Anonymous], 2022, Real Decreto 217/2022
   Aria M, 2017, J INFORMETR, V11, P959, DOI 10.1016/j.joi.2017.08.007
   Campina-Lopez A., 2023, Revista APICE
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   Oliva JM, 2019, ENSEN CIENC, V37, P5, DOI 10.5565/rev/ensciencias.2648
   Moher D, 2009, J CLIN EPIDEMIOL, V62, P1006, DOI 10.1016/j.jclinepi.2009.06.005
   Mokhnacheva YV, 2020, SCI TECH INF PROCESS, V47, P158, DOI 10.3103/S014768822003003X
   Ninkov A, 2022, PERSPECT MED EDUC, V11, P173, DOI 10.1007/s40037-021-00695-4
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NR 15
TC 0
Z9 0
U1 8
U2 66
PU UNIV CADIZ, DEPT DIDACTICA
PI CADIZ
PA FAC CIENCIAS EDUC, UNIV CADIZ, AVDA REPUBLICA SAHARAUI S-N, CADIZ,
   PUERTO REAL 11519, SPAIN
SN 1697-011X
J9 REV EUREKA ENSEN DIV
JI Rev. Eureka Ensen. Divulg. Cienc.
PD MAR
PY 2024
VL 21
IS 1
AR 1102
DI 10.25267/Rev_Eureka_ensen_divulg_cienc.2024.v21.i1.1102
PG 16
WC Education & Educational Research
WE Emerging Sources Citation Index (ESCI)
SC Education & Educational Research
GA LJ4D5
UT WOS:001186408000010
OA Green Submitted, gold
DA 2026-03-28
ER
PT J
AU Zeng, SH
   Wang, R
   Chen, J
   He, Y
AF Zeng, Shuhan
   Wang, Rui
   Chen, Jie
   He, Yue
TI Bibliometric analysis of research trends on the epiretinal membrane
   since 2000
SO ACTA BIOCHIMICA POLONICA
LA English
DT Article
DE bibliometric analysis; bibliometrix; citespace; epiretinal membrane;
   VOSviewer
ID JAPANESE POPULATION; RISK-FACTORS; PREVALENCE; VITRECTOMY; SURGERY
AB Epiretinal membrane (ERM) is an important retinal disorder, yet its global research landscape has not been systematically evaluated. This study conducted a comprehensive bibliometric analysis of ERM-related publications indexed in the Web of Science Core Collection. Data were analyzed using CiteSpace, bibliometrix, VOSviewer, and the bibliometrix R package to assess publication trends, international collaboration, influential journals, and evolving research topics. A total of 1,059 articles published between 2000 and 2024 were included. The annual number of publications showed a steady increase, with the United States and other developed countries contributing the majority of research output. Journal analysis identified Retina-The Journal of Retinal and Vitreous Diseases as the leading outlet in terms of productivity. Keyword co-occurrence and co-citation analyses revealed that current research hotspots involve epidemiology, molecular mechanisms, imaging biomarkers associated with surgical outcomes, and the emerging use of artificial intelligence in diagnosis and prognosis prediction. These findings provide an integrated overview of ERM research development, highlight major thematic shifts, and offer valuable guidance for future investigations in this field.
C1 [Zeng, Shuhan; Wang, Rui; He, Yue] Southwest Med Univ, Dept Ophthalmol, Affiliated Hosp, Luzhou, Sichuan, Peoples R China.
   [Chen, Jie] Southwest Med Univ, Dept Rheumatol & Immunol, Affiliated Hosp, Luzhou, Sichuan, Peoples R China.
C3 Southwest Medical University; Southwest Medical University
RP He, Y (corresponding author), Southwest Med Univ, Dept Ophthalmol, Affiliated Hosp, Luzhou, Sichuan, Peoples R China.
EM hylyfy@163.com
FU Luzhou Science and Technology Program [2023JYJ037]; Project of Youth
   Innovation in Medical Research in Sichuan Province [Q15014]; Scientific
   Research Topics of Sichuan Health and Family Planning Commission
   [16PJ560]; Sichuan Science and Technology Program [2022YFS0611]
FX The author(s) declared that financial support was received for this work
   and/or its publication. This work was supported by The Luzhou Science
   and Technology Program (2023JYJ037); The project of Youth Innovation in
   Medical Research in Sichuan Province (Q15014); The Scientific Research
   Topics of Sichuan Health and Family Planning Commission (16PJ560); The
   Sichuan Science and Technology Program (2022YFS0611).
CR Aria M, 2017, J INFORMETR, V11, P959, DOI 10.1016/j.joi.2017.08.007
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NR 40
TC 0
Z9 0
U1 2
U2 2
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 1734-154X
J9 ACTA BIOCHIM POL
JI Acta Biochim. Pol.
PD FEB 12
PY 2026
VL 73
AR 15244
DI 10.3389/abp.2026.15244
PG 12
WC Biochemistry & Molecular Biology
WE Science Citation Index Expanded (SCI-EXPANDED)
SC Biochemistry & Molecular Biology
GA EF2FM
UT WOS:001699661900001
PM 41769207
OA Green Submitted, gold
DA 2026-03-28
ER
PT J
AU Souza, LRD
   da Silva, DH
   Ribeiro, CT
   da Silva, DA
   Nasuto, SJ
   Sweeney-Reed, CM
   Andrade, AD
   Pereira, AA
AF Souza, Leandro Rodrigues da Silva
   da Silva, Daniel Hilario
   Ribeiro, Caio Tonus
   da Silva, Daiane Alves
   Nasuto, Slawomir J.
   Sweeney-Reed, Catherine M.
   Andrade, Adriano de Oliveira
   Pereira, Adriano Alves
TI PubMedMetaTool: Automated metadata extraction from PubMed using Python
   for bibliometric analysis
SO SOFTWARE IMPACTS
LA English
DT Article
DE PubMed; Bibliometric analysis; Bibliometric database; Science mapping;
   Bibliometrix; VoSViewer
AB Bibliometric analyses often depend on extracting metadata from large scientific databases, a process that is still largely manual, repetitive, and error prone. This paper presents PubMedMetaTool, an open-source Python-based solution that automates the retrieval and transformation of bibliographic metadata from PubMed, using either article titles or Digital Object Identifiers as input. The tool implements a modular pipeline that extracts metadata using NCBI's Entrez programming utilities and transforms it into formats compatible with tools such as Bibliometrix, VOSviewer, and pyBibX. Designed to be transparent and configurable, the tool improves bibliometric workflow efficiency, accuracy, and interoperability workflows.
C1 [Souza, Leandro Rodrigues da Silva; da Silva, Daniel Hilario; Ribeiro, Caio Tonus; Andrade, Adriano de Oliveira; Pereira, Adriano Alves] Programa Posgrad Engn Biomed, Uberlandia, Brazil.
   [da Silva, Daniel Hilario] Inst Fed Goiano Campus Cristalina, Cristalina, Brazil.
   [Souza, Leandro Rodrigues da Silva] Inst Fed Goiano Campus Rio Verde, Rio Verde, Brazil.
   [Andrade, Adriano de Oliveira; Pereira, Adriano Alves] Fac Engn Elect, Uberlandia, Brazil.
   [da Silva, Daiane Alves] Programa Posgrad Estudo Literario, Uberlandia, Brazil.
   [Nasuto, Slawomir J.] Otto von Guericke Univ, Dept Neurol, Neurocybernet & Rehabil, Magdeburg, Germany.
   [Sweeney-Reed, Catherine M.] Univ Reading, Sch Biol Sci, Biomed Sci & Biomed Engn Div, Reading, England.
C3 Instituto Federal de Goias (IFG); Otto von Guericke University;
   University of Reading
RP Souza, LRD (corresponding author), Inst Fed Goiano Campus Rio Verde, Rio Verde, Brazil.
EM leandro.souza@ifgoiano.edu.br
RI Sweeney-Reed, Catherine/ADB-1879-2022; Pereira, Adriano/AAK-2075-2020;
   Andrade, Adriano/D-9721-2012; Tonus, Caio/LLK-6351-2024; Silva,
   Daniel/JWO-9082-2024
OI Nasuto, Slawomir/0000-0001-9414-9049; 
FU National Council for Scientific and Technological Development (CNPq);
   Coordination for the Improvement of Higher Education Personnel (CAPES);
   Foundation for Research Support of the State of Minas Gerais (FAPEMIG);
   CNPq, Brazil [302942/2022-0, 309525/2021-7]
FX The present study was carried out with the support of the National
   Council for Scientific and Technological Development (CNPq) ,
   Coordination for the Improvement of Higher Education Personnel (CAPES) ,
   along with the Foundation for Research Support of the State of Minas
   Gerais (FAPEMIG) . A.O.A. (302942/2022-0) and A.A.P. (309525/2021-7) are
   fellows of CNPq, Brazil. We express our gratitude to the Michael J. Fox
   Foundation (MJFF) for promoting public awareness of the scientific
   research derived from data fostered by the foundation, to Centre for
   Innovation and Technology Assessment in Health (NIATS) , Federal
   University of Uberlandia, Brazil, and to the Federal Institute of
   Education, Science, and Technology Goiano (IF Goiano) - Campus Rio
   Verde, Campus Cristalina and the Center of Excellence in Exponential
   Agriculture-CEAGRE, the Goias State Research Support Foundation (FAPEG)
   , for structural support to conduct this study.
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   Souza L.R. da S., 2024, P IFMBE, P2
   Toaza B, 2024, SOFTW IMPACTS, V19, DOI 10.1016/j.simpa.2023.100602
NR 15
TC 0
Z9 0
U1 4
U2 12
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2665-9638
J9 SOFTW IMPACTS
JI Software Impacts
PD JUN
PY 2025
VL 24
AR 100766
DI 10.1016/j.simpa.2025.100766
EA MAY 2025
PG 7
WC Computer Science, Software Engineering
WE Emerging Sources Citation Index (ESCI)
SC Computer Science
GA 2WA8X
UT WOS:001492673800001
OA gold
DA 2026-03-28
ER
EF
