Pascal Kerschke

2.1k citations
47 papers · 853 · h-index 13

Impact in

Papers in

Pascal Kerschke

46 papers receiving 835 citations

Peers

Pascal Kerschke
Comparison fields: 5 of 76
  • Computational Theory and Mathematics 376
  • Artificial Intelligence 604
  • Industrial and Manufacturing Engineering 129
  • Management Science and Operations Research 100
  • Software 23
Replace Prakash Shelokar with:
Prakash Shelokar India
Karl Bringmann Germany
Á. E. Eiben Netherlands
Kazuhisa Makino Japan
Khaled Mellouli Tunisia
Pablo San Segundo Spain
Radim Jiroušek Czechia
John W. Chinneck Canada
Jakub Mareček Czechia
Pascal Kerschke relative to Prakash Shelokar India Prakash Shelokar's profile →
Citations per field
00.5×9.4×
Prakash Shelokar · 1×
Citations per year

Countries citing papers authored by Pascal Kerschke

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Kerschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pascal Kerschke, 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 Pascal Kerschke Line = papers co-authored together Pascal Kerschke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018213
2 2016116
3 201895
4 201554
5 201747
6 201635
7 201628
8 201724
9 201924
10 201421
11 202117
12 201816
13 201914
14 201912
15 202211
16 202011
17
An Overview of Topic Discovery in Twitter Communication through Social Media Analytics
201510
18 201910
19 202210
20 20177

About Pascal Kerschke

Pascal Kerschke is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Industrial and Manufacturing Engineering and Management Science and Operations Research, having authored 47 papers that have together received 853 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (24 papers), Advanced Multi-Objective Optimization Algorithms (21 papers), Evolutionary Algorithms and Applications (10 papers), Vehicle Routing Optimization Methods (7 papers), Machine Learning and Data Classification (7 papers), Constraint Satisfaction and Optimization (5 papers), Scheduling and Timetabling Solutions (4 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Computational Theory and Mathematics (376 citations), Artificial Intelligence (604 citations), Industrial and Manufacturing Engineering (129 citations), Management Science and Operations Research (100 citations) and Software (23 citations). Pascal Kerschke has collaborated with scholars based in Germany, Netherlands and Australia. Frequent co-authors include Heike Trautmann, Holger H. Hoos, Frank Neumann, Mike Preuß, Jakob Bossek, Simon Wessing, Lars Kotthoff, Bernd Bischl, Joaquin Vanschoren and Frank Hutter. Their work appears in journals such as Evolutionary Computation, IEEE Transactions on Evolutionary Computation, Applied Soft Computing, Theoretical Computer Science and Applied Sciences.

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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