Bart Naudts

1.5k total citations
28 papers, 830 citations indexed

About

Bart Naudts is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Bart Naudts has authored 28 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Molecular Biology. Recurrent topics in Bart Naudts's work include Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (8 papers) and Constraint Satisfaction and Optimization (4 papers). Bart Naudts is often cited by papers focused on Metaheuristic Optimization Algorithms Research (10 papers), Evolutionary Algorithms and Applications (8 papers) and Constraint Satisfaction and Optimization (4 papers). Bart Naudts collaborates with scholars based in Belgium, United States and Germany. Bart Naudts's co-authors include Leila Kallel, Koen Van Leemput, A. Verschoren, Bart De Moor, Kathleen Marchal, Piet van Remortel, Tim Van den Bulcke, Hongwu Ma, Lotte Moens and David E. Goldberg and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and IEEE Transactions on Evolutionary Computation.

In The Last Decade

Bart Naudts

27 papers receiving 770 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bart Naudts Belgium 13 372 279 171 85 78 28 830
Vince Grolmusz Hungary 18 197 0.5× 323 1.2× 279 1.6× 8 0.1× 27 0.3× 87 939
Joel P. Arrais Portugal 16 84 0.2× 485 1.7× 297 1.7× 19 0.2× 33 0.4× 73 866
Zhuo Feng United States 20 146 0.4× 120 0.4× 157 0.9× 23 0.3× 30 0.4× 106 1.3k
Kai Wei China 11 243 0.7× 127 0.5× 54 0.3× 14 0.2× 15 0.2× 37 500
Ganesan Pugalenthi India 21 126 0.3× 877 3.1× 116 0.7× 9 0.1× 29 0.4× 39 1.2k
Hyuk Cho United States 9 180 0.5× 207 0.7× 12 0.1× 19 0.2× 28 0.4× 33 512
Jianzhen Li China 18 33 0.1× 166 0.6× 71 0.4× 21 0.2× 241 3.1× 73 1.2k
Tao Lin United States 21 114 0.3× 293 1.1× 15 0.1× 56 0.7× 81 1.0× 92 1.6k
Brian Ingalls Canada 22 26 0.1× 838 3.0× 60 0.4× 10 0.1× 176 2.3× 79 1.4k
Carmen G. Moles Spain 7 103 0.3× 524 1.9× 137 0.8× 3 0.0× 76 1.0× 10 1.0k

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-authorship network of co-authors of Bart Naudts

This figure shows the co-authorship network connecting the top 25 collaborators of Bart Naudts. A scholar is included among the top collaborators of Bart Naudts 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 Bart Naudts. Bart Naudts 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.
Moens, Maarten, Anne Marie G. A. de Smet, Bart Naudts, et al.. (2006). Fast identification of ten clinically important micro-organisms using an electronic nose. Letters in Applied Microbiology. 42(2). 121–126. 31 indexed citations
2.
Bulcke, Tim Van den, Koen Van Leemput, Bart Naudts, et al.. (2006). SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms. BMC Bioinformatics. 7(1). 43–43. 209 indexed citations
3.
Engelen, Kristof, Bart Naudts, Bart De Moor, & Kathleen Marchal. (2006). A calibration method for estimating absolute expression levels from microarray data. Bioinformatics. 22(10). 1251–1258. 7 indexed citations
4.
Naudts, Bart, et al.. (2005). Foundations of Generic Optimization: Volume 1: A Combinatorial Approach to Epistasis (Mathematical Modelling: Theory and Applications). Springer eBooks. 4 indexed citations
5.
Leemput, Koen Van, Tim Van den Bulcke, Bart Naudts, et al.. (2005). A generator of biologically plausible synthetic gene expression data for design and analysis of structure learning algorithms. 6 indexed citations
6.
Ven, Karlijn van der, et al.. (2005). Development and application of a brain-specific cDNA microarray for effect evaluation of neuro-active pharmaceuticals in zebrafish (Danio rerio). Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 141(4). 408–417. 53 indexed citations
7.
Soetaert, Anneleen, Lotte Moens, Karlijn van der Ven, et al.. (2005). Molecular impact of propiconazole on Daphnia magna using a reproduction-related cDNA array. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 142(1-2). 66–76. 85 indexed citations
8.
Daelemans, Walter, et al.. (2003). Combined Optimization of Feature Selection and Algorithm Parameter Interaction in Machine Learning of Language. Research portal (Tilburg University). 84–95. 36 indexed citations
9.
Kallel, Leila, Bart Naudts, & Marc Schoenauer. (2003). On functions with a given fitness-distance relation. 1910–1916. 5 indexed citations
10.
Verschoren, A., et al.. (2003). Symmetry in the representation of an optimization problem. 1 indexed citations
11.
Naudts, Bart, et al.. (2002). Ant colonies are good at solving constraint satisfaction problems. 2. 1190–1195. 34 indexed citations
12.
Goldberg, David E., et al.. (2002). From Twomax To The Ising Model: Easy And Hard Symmetrical Problems. 626–633. 22 indexed citations
13.
Goldberg, David E., et al.. (2001). Building block superiority, multimodality and synchronization problems. Genetic and Evolutionary Computation Conference. 694–701. 12 indexed citations
14.
Kallel, Leila, et al.. (2001). Theoretical Aspects of Evolutionary Computing. 90 indexed citations
15.
Naudts, Bart, et al.. (2000). Generalized royal road functions and their epistasis. Computing and Informatics / Computers and Artificial Intelligence. 19(4). 317–334. 6 indexed citations
16.
Naudts, Bart & Leila Kallel. (2000). A comparison of predictive measures of problem difficulty in evolutionary algorithms. IEEE Transactions on Evolutionary Computation. 4(1). 1–15. 95 indexed citations
17.
Naudts, Bart, et al.. (1999). A motivated definition of exploitation and exploration. Genetic and Evolutionary Computation Conference. 800–800. 2 indexed citations
18.
Naudts, Bart & A. Verschoren. (1998). SGA search dynamics on second order functions. Lecture notes in computer science. 207–221. 1 indexed citations
19.
Naudts, Bart & Jan Naudts. (1998). Fitness landscapes and problem difficulty: the effect of spin-flip symmetry on the performance of the simple GA. 67–76. 1 indexed citations
20.
Naudts, Bart, et al.. (1997). Epistasis as a Basic Concept in Formal Landscape Analysis.. 65–72. 23 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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