| dc.contributor.author | Kara, Burak Can | |
| dc.contributor.author | Sahin, Alperen | |
| dc.contributor.author | Dirsehan, Taskin | |
| dc.date.accessioned | 2025-03-28T07:23:10Z | |
| dc.date.available | 2025-03-28T07:23:10Z | |
| dc.date.issued | 2025 | |
| dc.identifier.issn | 2352-7110 | |
| dc.identifier.uri | https://doi.org/10.1016/j.softx.2025.102098 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12450/6032 | |
| dc.description.abstract | Bibliometric analyses frequently encounter issues such as duplicate records, missing metadata, and inconsistent formats, reducing reliability and efficiency. Existing solutions offer minimal assistance for automated data integration and enrichment, requiring researchers to rely on manual efforts. This paper presents a Python-based software solution that addresses these challenges by merging datasets from Scopus and Web of Science, performing DOI-based deduplication, and enhancing metadata using APIs such as Unpaywall and Semantic Scholar. BibexPy provides analysis-ready formats that work with VosViewer and Biblioshiny, minimizing human labor and enhancing data quality. It enables advanced analysis like as co-citation mapping and trend identification, promoting innovation in bibliometric research approaches. | en_US |
| dc.description.sponsorship | Erasmus University Rotterdam | en_US |
| dc.description.sponsorship | Declaration of competing interest The authors declare the following financial interests/personal re-lationships which may be considered as potential competing interests: Tas,k & imath;n Dirsehan reports article publishing charges was provided by Erasmus University Rotterdam. The authors declare that they are the developers of BibexPy, the Python-based software presented in this paper. This relationship does not influence the integrity of the research findings, as the study adheres to standard scientific methodologies and objective analysis. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Elsevier | en_US |
| dc.relation.ispartof | Softwarex | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Bibliometric analysis tools | en_US |
| dc.subject | Automated data integration | en_US |
| dc.subject | Metadata enrichment software | en_US |
| dc.subject | Scikit-learn | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | API-Based metadata processing | en_US |
| dc.title | BibexPy: Harmonizing the bibliometric symphony of Scopus and Web of Science | en_US |
| dc.type | article | en_US |
| dc.department | Amasya Üniversitesi | en_US |
| dc.authorid | KARA, Burak Can/0000-0002-6933-0759 | |
| dc.authorid | SAHIN, Alperen/0000-0001-9563-6543 | |
| dc.identifier.volume | 30 | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.identifier.scopus | 2-s2.0-85217801630 | en_US |
| dc.identifier.doi | 10.1016/j.softx.2025.102098 | |
| dc.department-temp | [Kara, Burak Can] Amasya Univ, Dept Construct, TR-05000 Amasya, Turkiye; [Sahin, Alperen] Marmara Univ, Inst Social Sci, TR-34722 Istanbul, Turkiye; [Dirsehan, Taskin] Marmara Univ, Fac Business Adm, TR-34854 Istanbul, Turkiye; [Dirsehan, Taskin] Erasmus Univ, Sch Social & Behav Sci, Rotterdam, Netherlands; [Dirsehan, Taskin] LDE Ctr BOLD Cities, Rotterdam, Netherlands; [Kara, Burak Can] Amasya Univ, Merzifon Vocat Sch, Dept Construct, Amasya, Turkiye | en_US |
| dc.identifier.wos | WOS:001428294800001 | en_US |
| dc.snmz | KA_WOS_20250328 | |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.indekslendigikaynak | Scopus | en_US |
