Bart Naudts

1.5k citations
36 papers · 1.2k · h-index 16

Impact in

Papers in

Bart Naudts

35 papers receiving 1.1k citations

Peers

Bart Naudts
Comparison fields: 5 of 118
  • Artificial Intelligence 603
  • Computational Theory and Mathematics 252
  • Health, Toxicology and Mutagenesis 89
  • Molecular Biology 319
  • Computer Networks and Communications 103
Replace Tomi Silander with:
Tomi Silander Finland
Zhuo Feng United States
José R. Méndez Spain
Shilong Ma China
Guzmán Santafé Spain
Ruifang Liu China
Byung-Jun Yoon United States
Ying Bi China
William Bug United States
Jiawei Luo China
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Citations per field
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Citations per year

Countries citing papers authored by Bart Naudts

Since Specialization
Citations

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

Fields of papers citing papers by Bart Naudts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bart Naudts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bart Naudts Line = papers co-authored together Bart Naudts links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006224
2 2001146
3 2000124
4 200590
5 200186
6 200560
7 200351
8
Combined Optimization of Feature Selection and Algorithm Parameter Interaction in Machine Learning of Language
200344
9 200238
10 200337
11 200335
12 200633
13 200232
14 199832
15
From Twomax To The Ising Model: Easy And Hard Symmetrical Problems
200229
16
Epistasis as a Basic Concept in Formal Landscape Analysis.
199728
17
Building block superiority, multimodality and synchronization problems
200115
18 200211
19 199910
20 20068

About Bart Naudts

Bart Naudts is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Molecular Biology and Management Science and Operations Research, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (17 papers), Evolutionary Algorithms and Applications (13 papers), Constraint Satisfaction and Optimization (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Scheduling and Timetabling Solutions (4 papers), Evolution and Genetic Dynamics (3 papers), Gene Regulatory Network Analysis (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Artificial Intelligence (603 citations), Computational Theory and Mathematics (252 citations), Health, Toxicology and Mutagenesis (89 citations), Molecular Biology (319 citations) and Computer Networks and Communications (103 citations). Bart Naudts has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Leila Kallel, Koen Van Leemput, A. Verschoren, Bart De Moor, Kathleen Marchal, Piet van Remortel, Colin R. Reeves, Tim Van den Bulcke, Hongwu Ma and David E. Goldberg. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Bioinformatics, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology and Evolutionary Computation.

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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