Simon Wessing

735 citations
31 papers · 562 · h-index 14

Impact in

Papers in

Simon Wessing

31 papers receiving 540 citations

Peers

Simon Wessing
Comparison fields: 5 of 66
  • Computational Theory and Mathematics 244
  • Artificial Intelligence 432
  • Developmental and Educational Psychology 67
  • Statistics, Probability and Uncertainty 24
  • Computer Vision and Pattern Recognition 69
Replace L. B. Soros with:
L. B. Soros United States
Justin K. Pugh United States
N. Franken South Africa
Dongmei Yu China
Kevin Chiu United States
Karsten Weicker Germany
Avraham Ruderman Australia
Gregory Kuhlmann United States
José L. Marzo Spain
Antonio García Castañeda United Kingdom
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Citations per year

Countries citing papers authored by Simon Wessing

Since Specialization
Citations

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

Fields of papers citing papers by Simon Wessing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Simon Wessing, 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 Simon Wessing Line = papers co-authored together Simon Wessing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201091
2 201569
3 201645
4 201341
5 201439
6 201328
7 201028
8 201024
9 201821
10 200818
11 201518
12 201317
13 201014
14 200813
15 201611
16 201010
17 201110
18 201310
19 20159
20 20117

About Simon Wessing

Simon Wessing is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Sociology and Political Science and Management Science and Operations Research, having authored 31 papers that have together received 562 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (17 papers), Metaheuristic Optimization Algorithms Research (14 papers), Evolutionary Algorithms and Applications (10 papers), Artificial Intelligence in Games (6 papers), Digital Games and Media (3 papers), Advanced Control Systems Optimization (3 papers), Human Motion and Animation (2 papers) and Educational Games and Gamification (2 papers). The work is most often cited by research in Computational Theory and Mathematics (244 citations), Artificial Intelligence (432 citations), Developmental and Educational Psychology (67 citations), Statistics, Probability and Uncertainty (24 citations) and Computer Vision and Pattern Recognition (69 citations). Simon Wessing has collaborated with scholars based in Germany, Denmark and Sweden. Frequent co-authors include Mike Preuß, Nicola Beume, Günter Rudolph, Heike Trautmann, Pascal Kerschke, Julian Togelius, Johan Hagelbäck, Georgios N. Yannakakis, Boris Naujoks and Bernd Bischl. Their work appears in journals such as Evolutionary Computation, Genetic Programming and Evolvable Machines, IEEE Transactions on Computational Intelligence and AI in Games, Zeitschrift für wirtschaftlichen Fabrikbetrieb and Computational Optimization and Applications.

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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