Geert Jan Bex

1.2k citations
22 papers · 672 indexed · h-index 15
Topics
Advanced Database Systems and Queries (7 papers)Natural Language Processing Techniques (6 papers)Algorithms and Data Compression (6 papers)

In The Last Decade

Geert Jan Bex

20 papers receiving 642 citations

Peers

Geert Jan Bex
Comparison fields: 5 of 85
  • Artificial Intelligence 450
  • Computer Networks and Communications 298
  • Information Systems 124
  • Computational Theory and Mathematics 100
  • Signal Processing 73
Replace Wing-Kai Hon with:
Wing-Kai Hon Taiwan
Eric Blais Canada
Lloyd Allison Australia
A. Jones United States
David Fernández‐Baca United States
P. Bollmann Germany
Rolf Fagerberg Denmark
Chanhee Lee South Korea
Paul F. Dietz United States
Oren Weimann Israel
Geert Jan Bex relative to Wing-Kai Hon Taiwan Wing-Kai Hon's profile →
Citations per field
00.5×1.5×1.9×
Wing-Kai Hon · 1×
Citations per year

Countries citing papers authored by Geert Jan Bex

Since Specialization
Citations

This map shows the geographic impact of Geert Jan Bex'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 Geert Jan Bex with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geert Jan Bex more than expected).

Fields of papers citing papers by Geert Jan Bex

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geert Jan Bex. 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 Geert Jan Bex. The network helps show where Geert Jan Bex may publish in the future.

Co-authorship network of co-authors of Geert Jan Bex

This figure shows the co-authorship network connecting the top 25 collaborators of Geert Jan Bex. A scholar is included among the top collaborators of Geert Jan Bex 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 Geert Jan Bex. Geert Jan Bex 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
#WorkIndexed citations
1 98
2 48
3 39
4
Misfingering by Instrumentalists used as a Paradigm for Focal Dystonia in PC Workers
0
5 33
6
Lower arm and hand muscles in focal dystonias - some anatomical and therapeutic aspects
0
7 8
8 28
9
Inferring XML schema definitions from XML data
54
10
The pattern memory of gene-protein networks
2
11 58
12 82
13 19
14 77
15 47
16 1
17 1
18 4
19 24
20 15

About Geert Jan Bex

Geert Jan Bex is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 22 papers that have together received 672 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Natural Language Processing Techniques (6 papers) and Algorithms and Data Compression (6 papers). The work is most often cited by research in Artificial Intelligence (450 citations), Computer Networks and Communications (298 citations) and Software (26 citations). Geert Jan Bex has collaborated with scholars based in Belgium, Germany and Netherlands. Frequent co-authors include Frank Neven, Thomas Schwentick, Stijn Vansummeren, Wim Martens, Jan Van den Bussche, Wouter Gelade, Els Keunen, Ann Cuypers, Karen Smeets and Tony Remans. Their work appears in journals such as The Plant Cell, Molecular Ecology and ACM Transactions on Database Systems.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026