Victor Ströele
Impact in
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- Online Learning and Analytics
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- Scientific Computing and Data Management
Papers in
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- Software Engineering Research 12
- Research Data Management Practices 10
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- Scientific Computing and Data Management 25
- Co-authors
- Regina Braga (67 shared papers)José David (59 shared papers)Fernanda Campos (41 shared papers)Jano Moreira de Souza (8 shared papers)Geraldo Zimbrão (9 shared papers)Mário A. R. Dantas (17 shared papers)Jairo Francisco de Souza (5 shared papers)Jonice Oliveira (5 shared papers)
In The Last Decade
Victor Ströele
81 papers receiving 371 citations
Peers
Comparison fields: 5 of 71
- Computer Science Applications 68
- Information Systems and Management 58
- Information Systems 182
- Statistical and Nonlinear Physics 72
- Software 20
Countries citing papers authored by Victor Ströele
This map shows the geographic impact of Victor Ströele'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 Victor Ströele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Ströele more than expected).
Fields of papers citing papers by Victor Ströele
This network shows the impact of papers produced by Victor Ströele. 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 Victor Ströele. The network helps show where Victor Ströele may publish in the future.
Co-authors
The 25 scholars most cited alongside Victor Ströele, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 33 | |
| 2 | 2013 | 31 | |
| 3 | 2017 | 22 | |
| 4 | 2022 | 20 | |
| 5 | 2009 | 19 | |
| 6 | 2017 | 18 | |
| 7 | 2018 | 16 | |
| 8 | 2020 | 14 | |
| 9 | 2018 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 7 | |
| 13 | 2017 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2022 | 5 |
About Victor Ströele
Victor Ströele is a scholar working on Information Systems, Information Systems and Management, Artificial Intelligence, Computer Science Applications and Computer Networks and Communications, having authored 96 papers that have together received 384 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (25 papers), Complex Network Analysis Techniques (15 papers), Software Engineering Research (12 papers), Research Data Management Practices (10 papers), Online Learning and Analytics (10 papers), Semantic Web and Ontologies (9 papers), Data Quality and Management (7 papers) and Open Source Software Innovations (6 papers). The work is most often cited by research in Computer Science Applications (68 citations), Information Systems and Management (58 citations), Information Systems (182 citations), Statistical and Nonlinear Physics (72 citations) and Software (20 citations). Victor Ströele has collaborated with scholars based in Brazil, Canada and Austria. Frequent co-authors include Regina Braga, José David, Fernanda Campos, Jano Moreira de Souza, Geraldo Zimbrão, Mário A. R. Dantas, Jairo Francisco de Souza, Jonice Oliveira, Michael Bauer and V. Schettino. Their work appears in journals such as Knowledge and Information Systems, IEEE Access, Journal of Web Semantics, Journal of Grid Computing and Journal of Personalized Medicine.
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.