Victor Ströele
Impact in
-
- Online Learning and Analytics
-
- Scientific Computing and Data Management
Papers in
-
- Software Engineering Research 12
- Research Data Management Practices 11
-
- Scientific Computing and Data Management 27
- Co-authors
- Regina Braga (75 shared papers)José David (63 shared papers)Fernanda Campos (42 shared papers)Geraldo Zimbrão (10 shared papers)Jano Moreira de Souza (9 shared papers)Mário A. R. Dantas (26 shared papers)Jonice Oliveira (6 shared papers)Jairo Francisco de Souza (6 shared papers)
In The Last Decade
Victor Ströele
94 papers receiving 444 citations
Peers
Comparison fields: 5 of 77
- Computer Science Applications 90
- Information Systems and Management 69
- Information Systems 210
- Statistical and Nonlinear Physics 80
- 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 41 | |
| 2 | 2013 | 34 | |
| 3 | 2017 | 22 | |
| 4 | 2022 | 21 | |
| 5 | 2009 | 20 | |
| 6 | 2017 | 20 | |
| 7 | 2018 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2008 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2017 | 7 |
About Victor Ströele
Victor Ströele is a scholar working on Information Systems, Information Systems and Management, Computer Networks and Communications, Computer Science Applications and Artificial Intelligence, having authored 112 papers that have together received 459 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (27 papers), Complex Network Analysis Techniques (16 papers), Online Learning and Analytics (14 papers), Software Engineering Research (12 papers), IoT and Edge/Fog Computing (11 papers), Semantic Web and Ontologies (11 papers), Research Data Management Practices (11 papers) and Context-Aware Activity Recognition Systems (10 papers). The work is most often cited by research in Computer Science Applications (90 citations), Information Systems and Management (69 citations), Information Systems (210 citations), Statistical and Nonlinear Physics (80 citations) and Software (20 citations). Victor Ströele has collaborated with scholars based in Brazil, Canada and Italy. Frequent co-authors include Regina Braga, José David, Fernanda Campos, Geraldo Zimbrão, Jano Moreira de Souza, Mário A. R. Dantas, Jonice Oliveira, Jairo Francisco de Souza, Michael Bauer and Santi Caballé. Their work appears in journals such as Knowledge and Information Systems, IEEE Access, Journal of Web Semantics, Journal of Systems and Software and Computers and Electronics in Agriculture.
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.