Christian Grimme

1.2k citations
48 papers · 427 indexed · h-index 10
Topics
Advanced Multi-Objective Optimization Algorithms (21 papers)Metaheuristic Optimization Algorithms Research (18 papers)Distributed and Parallel Computing Systems (12 papers)

In The Last Decade

Christian Grimme

46 papers receiving 406 citations

Peers

Christian Grimme
Comparison fields: 5 of 75
  • Artificial Intelligence 202
  • Computational Theory and Mathematics 130
  • Sociology and Political Science 121
  • Information Systems 93
  • Computer Networks and Communications 74
Replace Oliver Vornberger with:
Oliver Vornberger Germany
Amitabha Bagchi India
Kousik Das India
Steven J. DeRose United States
Sana Moin Pakistan
Sébastien Gambs Canada
Guoyong Cai China
W. Richards Adrion United States
Wan Shiou Yang Taiwan
K. Suzanne Barber United States
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Countries citing papers authored by Christian Grimme

Since Specialization
Citations

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

Fields of papers citing papers by Christian Grimme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Grimme

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Grimme. A scholar is included among the top collaborators of Christian Grimme 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 Christian Grimme. Christian Grimme 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 0
2 1
3 6
4 1
5 1
6 3
7 34
8 16
9
Towards Real-Time and Unsupervised Campaign Detection in Social Media.
2
10 8
11 5
12 5
13 84
14 2
15 3
16
Der Konflikt in der Ukraine und die Ergebnisse der ifo Unternehmensbefragungen
1
17 7
18 2
19 5
20
Identifying job migration characteristics in decentralized grid scheduling scenarios
1

About Christian Grimme

Christian Grimme is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 48 papers that have together received 427 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (21 papers), Metaheuristic Optimization Algorithms Research (18 papers) and Distributed and Parallel Computing Systems (12 papers). The work is most often cited by research in Computational Theory and Mathematics (130 citations), Communication (48 citations) and Artificial Intelligence (202 citations). Christian Grimme has collaborated with scholars based in Germany, Netherlands and Australia. Frequent co-authors include Heike Trautmann, Mike Preuß, Lena Clever, Alexander Papaspyrou, Dennis Assenmacher, Günter Rudolph, Jakob Bossek, Oliver Schütze, Thorsten Quandt and Lena Frischlich. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, International Journal of Information Management and Computers & Operations Research.

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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