Jan Paredis

899 total citations
16 papers, 386 citations indexed

About

Jan Paredis is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Jan Paredis has authored 16 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Jan Paredis's work include Evolutionary Algorithms and Applications (8 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolution and Genetic Dynamics (3 papers). Jan Paredis is often cited by papers focused on Evolutionary Algorithms and Applications (8 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolution and Genetic Dynamics (3 papers). Jan Paredis collaborates with scholars based in Netherlands. Jan Paredis's co-authors include A.J.M.M. Weijters and Ton Weijters and has published in prestigious journals such as Knowledge-Based Systems, Artificial Life and Journal of Decision System.

In The Last Decade

Jan Paredis

15 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Paredis Netherlands 6 313 101 48 46 39 16 386
N. Franken South Africa 7 246 0.8× 97 1.0× 25 0.5× 38 0.8× 17 0.4× 11 374
Connie Loggia Ramsey United States 8 362 1.2× 97 1.0× 26 0.5× 30 0.7× 40 1.0× 11 479
Piet Spiessens Belgium 3 301 1.0× 146 1.4× 20 0.4× 38 0.8× 27 0.7× 4 397
Steven Gustafson United States 10 386 1.2× 90 0.9× 30 0.6× 17 0.4× 99 2.5× 20 473
Martin S. Krejca Germany 11 338 1.1× 206 2.0× 19 0.4× 33 0.7× 28 0.7× 45 431
Justin K. Pugh United States 5 240 0.8× 61 0.6× 15 0.3× 16 0.3× 16 0.4× 12 341
Dale A. Schoenefeld United States 9 169 0.5× 43 0.4× 30 0.6× 68 1.5× 17 0.4× 26 302
Franz Oppacher Canada 10 281 0.9× 138 1.4× 14 0.3× 46 1.0× 18 0.5× 32 338
Vesselin Vassilev United Kingdom 8 538 1.7× 121 1.2× 9 0.2× 11 0.2× 127 3.3× 16 654
Doğan Çörüş United Kingdom 9 178 0.6× 113 1.1× 12 0.3× 17 0.4× 24 0.6× 14 274

Countries citing papers authored by Jan Paredis

Since Specialization
Citations

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

Fields of papers citing papers by Jan Paredis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Paredis

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Paredis. A scholar is included among the top collaborators of Jan Paredis 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 Paredis. Jan Paredis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Paredis, Jan. (2017). Exploring the evolution of Genotype Phenotype Mappings. Research Publications (Maastricht University). 279–285. 2 indexed citations
2.
Paredis, Jan. (2015). Where Does (Co)evolution Lead to?. Research Publications (Maastricht University). 138–145. 1 indexed citations
3.
Paredis, Jan. (2002). Learning at the crossroads of biology and computation. 866. 56–63. 1 indexed citations
4.
Weijters, Ton & Jan Paredis. (2002). Genetic rule induction at an intermediate level. Knowledge-Based Systems. 15(1-2). 85–94. 5 indexed citations
5.
Weijters, A.J.M.M. & Jan Paredis. (2000). Rule induction with a genetic sequential covering algorithm (GeSeCo). Data Archiving and Networked Services (DANS). 245–251. 5 indexed citations
6.
Paredis, Jan. (1999). Coevolution, memory and balance. International Joint Conference on Artificial Intelligence. 1212–1217. 4 indexed citations
7.
Paredis, Jan. (1999). Constraint satisfaction with coevolution. 359–366. 2 indexed citations
8.
Weijters, A.J.M.M. & Jan Paredis. (1999). Discovering rules with a genetic sequential covering algorithm (GeSeCo). Data Archiving and Networked Services (DANS). 1 indexed citations
9.
Paredis, Jan. (1997). Coevolving Cellular Automata: Be Aware of the Red Queen!.. 393–400. 43 indexed citations
10.
Paredis, Jan. (1996). Symbiotic Coevolution for Epistatic Problems.. European Conference on Artificial Intelligence. 228–232. 4 indexed citations
11.
Paredis, Jan. (1995). The Symbiotic Evolution of Solutions and Their Representations. international conference on Genetic algorithms. 359–365. 45 indexed citations
12.
Paredis, Jan. (1995). Coevolutionary Computation. Artificial Life. 2(4). 355–375. 129 indexed citations
13.
Paredis, Jan. (1995). Coevolutionary Computation. Artificial Life. 2(4). 355–375. 112 indexed citations
14.
Paredis, Jan. (1993). Genetic state-space search for constrained optimization problems. International Joint Conference on Artificial Intelligence. 967–972. 16 indexed citations
15.
Paredis, Jan. (1992). Exploiting Constraints as Background Knowledge for Genetic Algorithms: A Case-Study for Scheduling.. 231–240. 11 indexed citations
16.
Paredis, Jan, et al.. (1992). Simulation and Constraint Programming as Support Methodologies for Job Shop Scheduling. Journal of Decision System. 1(1). 59–77. 5 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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