Jan Lemeire

683 total citations
43 papers, 387 citations indexed

About

Jan Lemeire is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Jan Lemeire has authored 43 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 12 papers in Hardware and Architecture and 12 papers in Artificial Intelligence. Recurrent topics in Jan Lemeire's work include Parallel Computing and Optimization Techniques (12 papers), Bayesian Modeling and Causal Inference (9 papers) and Advanced Data Storage Technologies (6 papers). Jan Lemeire is often cited by papers focused on Parallel Computing and Optimization Techniques (12 papers), Bayesian Modeling and Causal Inference (9 papers) and Advanced Data Storage Technologies (6 papers). Jan Lemeire collaborates with scholars based in Belgium, Netherlands and Germany. Jan Lemeire's co-authors include Dominik Janzing, Kun Zhang, Povilas Daniušis, Joris M. Mooij, Bernhard Schölkopf, Bastian Steudel, Jakob Zscheischler, Hichem Sahli, Stijn Meganck and Bruno da Silva and has published in prestigious journals such as Artificial Intelligence, Multimedia Tools and Applications and Journal of Parallel and Distributed Computing.

In The Last Decade

Jan Lemeire

39 papers receiving 356 citations

Peers

Jan Lemeire
Comparison fields: 5 of 79
  • Artificial Intelligence 172
  • Computer Networks and Communications 62
  • Control and Systems Engineering 52
  • Computational Theory and Mathematics 45
  • Management Science and Operations Research 42
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Varun Kanade United States
Shangzhu Jin China
Brendan Juba United States
Santanu Sarkar India
Joe Suzuki Japan
Borja Balle United Kingdom
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Citations per field, relative to Jan Lemeire
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Citations per year, relative to Jan Lemeire
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Countries citing papers authored by Jan Lemeire

Since Specialization
Citations

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

Fields of papers citing papers by Jan Lemeire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Lemeire

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Lemeire. A scholar is included among the top collaborators of Jan Lemeire 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 Jan Lemeire. Jan Lemeire 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
# Work Indexed citations
1 1
2 2
3 4
4 2
5 4
6 40
7
Performance and toolchain of a combined GPU/FPGA desktop
4
8
Study of combining GPU/FPGA accelerators for high-performance computing
1
9 2
10 137
11 10
12 13
13
Inferring the Causal Decomposition under the Presence of Deterministic Relations.
3
14
Robust Independence-Based Causal Structure Learning in Absence of Adjacency Faithfulness
5
15 6
16
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
2
17 2
18
Lookahead Accumulation in Conservative Parallel Discrete Event Simulation.
2
19
Causal Models for Parallel Performance Analysis
3
20 4

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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