Jef Wijsen
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
Papers in
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- Advanced Database Systems and Queries 39
- Distributed systems and fault tolerance 12
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- Logic, Reasoning, and Knowledge 18
- Semantic Web and Ontologies 9
- Cryptography and Data Security 4
- Co-authors
- Paraschos Koutris (10 shared papers)Robert Meersman (1 shared paper)Floris Geerts (2 shared papers)Wenfei Fan (2 shared papers)Toon Calders (2 shared papers)Raymond T. Ng (2 shared papers)Jan Chomicki (1 shared paper)Sergio Greco (1 shared paper)
- Journals
- ACM Transactions on Database Systems (6 papers)Journal of Computer and System Sciences (3 papers)Proceedings of the VLDB Endowment (2 papers)Information Systems (2 papers)ACM SIGMOD Record (2 papers)
- Partner nations
- BelgiumUnited StatesCanada
In The Last Decade
Jef Wijsen
46 papers receiving 589 citations
Peers
Comparison fields: 5 of 30
- Signal Processing 271
- Computer Networks and Communications 458
- Management Science and Operations Research 210
- Artificial Intelligence 429
- Information Systems 112
Countries citing papers authored by Jef Wijsen
This map shows the geographic impact of Jef Wijsen'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 Jef Wijsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jef Wijsen more than expected).
Fields of papers citing papers by Jef Wijsen
This network shows the impact of papers produced by Jef Wijsen. 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 Jef Wijsen. The network helps show where Jef Wijsen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jef Wijsen, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 115 | |
| 2 | 1999 | 44 | |
| 3 | 2010 | 38 | |
| 4 | 2012 | 31 | |
| 5 | 1998 | 31 | |
| 6 | 2015 | 29 | |
| 7 | 2013 | 26 | |
| 8 | 2009 | 26 | |
| 9 | 2002 | 24 | |
| 10 | 2012 | 24 | |
| 11 | 2017 | 20 | |
| 12 | 2010 | 19 | |
| 13 | 2009 | 17 | |
| 14 | 2011 | 14 | |
| 15 | 2019 | 13 | |
| 16 | 2014 | 13 | |
| 17 | 1998 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2001 | 10 | |
| 20 | 1999 | 9 |
About Jef Wijsen
Jef Wijsen is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Management Science and Operations Research, having authored 48 papers that have together received 614 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (39 papers), Data Management and Algorithms (27 papers), Logic, Reasoning, and Knowledge (18 papers), Distributed systems and fault tolerance (12 papers), Semantic Web and Ontologies (9 papers), Data Quality and Management (7 papers), Data Mining Algorithms and Applications (5 papers) and Cryptography and Data Security (4 papers). The work is most often cited by research in Signal Processing (271 citations), Computer Networks and Communications (458 citations), Management Science and Operations Research (210 citations), Artificial Intelligence (429 citations) and Information Systems (112 citations). Jef Wijsen has collaborated with scholars based in Belgium, United States and Canada. Frequent co-authors include Paraschos Koutris, Robert Meersman, Floris Geerts, Wenfei Fan, Toon Calders, Raymond T. Ng, Jan Chomicki, Sergio Greco, V. S. Subrahmanian and Jan Paredaens. Their work appears in journals such as ACM Transactions on Database Systems, Journal of Computer and System Sciences, Proceedings of the VLDB Endowment, Information Systems and ACM SIGMOD Record.
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.