Nicola Beume

22 papers receiving 1.9k citations

Hit Papers

SMS-EMOA: Multiobjective selection based on dominated hyp...200620262012201920064008001.2k

Peers

Nicola Beume
Comparison fields: 5 of 92
  • Artificial Intelligence 1.4k
  • Computational Theory and Mathematics 1.4k
  • Management Science and Operations Research 322
  • Control and Systems Engineering 171
  • Statistics, Probability and Uncertainty 139
Replace Boris Naujoks with:
Boris Naujoks Germany
Luigi Barone Australia
Luís Paquete Portugal
Johannes Bader Switzerland
Hajime Kita Japan
Yang Yu China
Dunwei Gong China
Zhengping Liang China
Koorush Ziarati Iran
Antonio Rodríguez-Díaz Mexico
Nicola Beume relative to Boris Naujoks Germany Boris Naujoks's profile →
Citations per field
00.5×1.5×
Boris Naujoks · 1×
Citations per year

Countries citing papers authored by Nicola Beume

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Beume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Beume

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Beume. A scholar is included among the top collaborators of Nicola Beume 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 Nicola Beume. Nicola Beume 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
#WorkIndexed citations
1 36
2 77
3 26
4 201
5 70
6 13
7 1
8 3
9
Parallel problem solving from nature - PPSN X : 10th international conference, Dortmund, Germany, September 13-17, 2008 : proceedings
9
10 1
11 4
12 28
13 14
14
Proceedings of the 10th International Conference on Parallel Problem Solving from Nature --- PPSN X - Volume 5199
2
15 6
16 11
17 5
18 51
19
SMS-EMOA: Multiobjective selection based on dominated hypervolumebreakdown →
1351
20 47

About Nicola Beume

Nicola Beume is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Developmental and Educational Psychology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (9 papers), Artificial Intelligence in Games (9 papers) and Metaheuristic Optimization Algorithms Research (8 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Artificial Intelligence (1.4k citations) and Management Science and Operations Research (322 citations). Nicola Beume has collaborated with scholars based in Germany, United Kingdom and Denmark. Frequent co-authors include Boris Naujoks, Michael Emmerich, Carlos M. Fonseca, Jan Vahrenhold, Luís Paquete, Manuel López‐Ibáñez, Günter Rudolph, Mike Preuß, Simon Wessing and Johan Hagelbäck. Their work appears in journals such as European Journal of Operational Research, IEEE Transactions on Evolutionary Computation 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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