Zehra Taşkın
Impact in
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- scientometrics and bibliometrics research
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- Scientific Computing and Data Management
- Academic Publishing and Open Access
Papers in
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- scientometrics and bibliometrics research 16
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- Research Data Management Practices 6
- Web visibility and informetrics 3
- Co-authors
- Umut Al (11 shared papers)Arsev Umur Aydınoğlu (4 shared papers)Emanuel Kulczycki (7 shared papers)Alesia Zuccala (2 shared papers)Tim Engels (1 shared paper)Lin Zhang (1 shared paper)Yaşar Tonta (2 shared papers)Gunnar Sivertsen (1 shared paper)
In The Last Decade
Zehra Taşkın
30 papers receiving 365 citations
Peers
Comparison fields: 5 of 112
- Statistics, Probability and Uncertainty 105
- Information Systems and Management 73
- Information Systems 94
- Health Informatics 5
- Library and Information Sciences 5
Countries citing papers authored by Zehra Taşkın
This map shows the geographic impact of Zehra Taşkın's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zehra Taşkın with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zehra Taşkın more than expected).
Fields of papers citing papers by Zehra Taşkın
This network shows the impact of papers produced by Zehra Taşkın. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zehra Taşkın. The network helps show where Zehra Taşkın may publish in the future.
Co-authors
The 14 scholars most cited alongside Zehra Taşkın, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 65 | |
| 2 | 2017 | 45 | |
| 3 | 2019 | 34 | |
| 4 | 2017 | 27 | |
| 5 | 2021 | 23 | |
| 6 | 2010 | 22 | |
| 7 | 2021 | 22 | |
| 8 | 2013 | 20 | |
| 9 | 2022 | 18 | |
| 10 | 2017 | 17 | |
| 11 | 2020 | 15 | |
| 12 | 2022 | 13 | |
| 13 | 2023 | 9 | |
| 14 | Use of Social Network Analysis in Bibliometric Researches 1 | 2012 | 7 |
| 15 | 2013 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2014 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2020 | 4 |
About Zehra Taşkın
Zehra Taşkın is a scholar working on Statistics, Probability and Uncertainty, Information Systems, Information Systems and Management, Artificial Intelligence and Management Information Systems, having authored 35 papers that have together received 386 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (16 papers), Research Data Management Practices (6 papers), Big Data and Business Intelligence (3 papers), Advanced Text Analysis Techniques (3 papers), Academic Publishing and Open Access (3 papers), Web visibility and informetrics (3 papers), Topic Modeling (3 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (105 citations), Information Systems and Management (73 citations), Information Systems (94 citations), Health Informatics (5 citations) and Library and Information Sciences (5 citations). Zehra Taşkın has collaborated with scholars based in Türkiye, Poland and Denmark. Frequent co-authors include Umut Al, Arsev Umur Aydınoğlu, Emanuel Kulczycki, Alesia Zuccala, Tim Engels, Lin Zhang, Yaşar Tonta, Gunnar Sivertsen, Serap Kurbanoğlu and Ying Huang. Their work appears in journals such as Scientometrics, Quantitative Science Studies, Journal of the Association for Information Science and Technology, IFLA Journal and Origins of Life and Evolution of Biospheres.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.