Jef Wijsen

1.3k total citations
48 papers, 612 citations indexed

About

Jef Wijsen is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Jef Wijsen has authored 48 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 29 papers in Artificial Intelligence and 27 papers in Signal Processing. Recurrent topics in Jef Wijsen's work include Advanced Database Systems and Queries (39 papers), Data Management and Algorithms (27 papers) and Logic, Reasoning, and Knowledge (18 papers). Jef Wijsen is often cited by papers focused on Advanced Database Systems and Queries (39 papers), Data Management and Algorithms (27 papers) and Logic, Reasoning, and Knowledge (18 papers). Jef Wijsen collaborates with scholars based in Belgium, United States and United Kingdom. Jef Wijsen's co-authors include Paraschos Koutris, Robert Meersman, Wenfei Fan, Floris Geerts, Toon Calders, Raymond T. Ng, Jan Chomicki, Bart Kuijpers, V. S. Subrahmanian and Sergio Greco and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and ACM SIGMOD Record.

In The Last Decade

Jef Wijsen

46 papers receiving 586 citations

Peers

Jef Wijsen
Fereidoon Sadri United States
Oliver M. Duschka United States
Andréas Pieris United Kingdom
Upen S. Chakravarthy United States
Latha S. Colby United States
Oliver Kennedy United States
Chavdar Botev United States
Fereidoon Sadri United States
Jef Wijsen
Citations per year, relative to Jef Wijsen Jef Wijsen (= 1×) peers Fereidoon Sadri

Countries citing papers authored by Jef Wijsen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jef Wijsen

This figure shows the co-authorship network connecting the top 25 collaborators of Jef Wijsen. A scholar is included among the top collaborators of Jef Wijsen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jef Wijsen. Jef Wijsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wijsen, Jef, et al.. (2024). Computing Range Consistent Answers to Aggregation Queries via Rewriting. Proceedings of the ACM on Management of Data. 2(5). 1–19.
2.
Koutris, Paraschos, et al.. (2024). Consistent Query Answering for Primary Keys on Rooted Tree Queries. Proceedings of the ACM on Management of Data. 2(2). 1–26. 1 indexed citations
3.
Koutris, Paraschos, et al.. (2023). LinCQA: Faster Consistent Query Answering with Linear Time Guarantees. Proceedings of the ACM on Management of Data. 1(1). 1–25. 2 indexed citations
4.
Kimelfeld, Benny, et al.. (2020). Counting subset repairs with functional dependencies. Journal of Computer and System Sciences. 117. 154–164. 3 indexed citations
5.
Gyssens, Marc, Jelle Hellings, Jan Paredaens, et al.. (2019). Calculi for symmetric queries. Journal of Computer and System Sciences. 105. 54–86.
6.
Koutris, Paraschos & Jef Wijsen. (2018). Consistent Query Answering for Primary Keys in Logspace. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 4 indexed citations
7.
Liu, Weiru, V. S. Subrahmanian, & Jef Wijsen. (2018). Scalable Uncertainty Management: 7th International Conference, SUM 2013, Washington, DC, USA, September 16-18, 2013, Proceedings. DIAL (Catholic University of Leuven). 2 indexed citations
8.
Koutris, Paraschos & Jef Wijsen. (2018). Consistent Query Answering for Primary Keys and Conjunctive Queries with Negated Atoms. 209–224. 11 indexed citations
9.
Chomicki, Jan & Jef Wijsen. (2016). Consistent Query Answering for Atemporal Constraints over Temporal Databases. 149–156. 7 indexed citations
11.
Wijsen, Jef, et al.. (2013). A dichotomy in the complexity of counting database repairs. Journal of Computer and System Sciences. 79(6). 958–983. 26 indexed citations
12.
Fan, Wenfei, Floris Geerts, & Jef Wijsen. (2011). Determining the currency of data. Edinburgh Research Explorer (University of Edinburgh). 71–82. 14 indexed citations
14.
Wijsen, Jef. (2010). A remark on the complexity of consistent conjunctive query answering under primary key violations. Information Processing Letters. 110(21). 950–955. 19 indexed citations
15.
Wijsen, Jef. (2009). Consistent query answering under primary keys. 42–52. 17 indexed citations
17.
Dekeyser, Stijn, Bart Kuijpers, Jan Paredaens, & Jef Wijsen. (1999). Nested data cubes for OLAP. Lecture notes in computer science. 129–140. 1 indexed citations
18.
Wijsen, Jef. (1999). Temporal FDs on complex objects. ACM Transactions on Database Systems. 24(1). 127–176. 44 indexed citations
19.
Dekeyser, Stijn, Bart Kuijpers, Jan Paredaens, & Jef Wijsen. (1998). Nested Data Cubes for OLAP (Extended Abstract). TU/e Research Portal. 129–140. 3 indexed citations
20.
Wijsen, Jef, et al.. (1994). Temporal Dependencies in Relational Database Design.. 2 indexed citations

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.

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