Christian Grimme

1.2k total citations
48 papers, 427 citations indexed

About

Christian Grimme is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Christian Grimme has authored 48 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 21 papers in Computational Theory and Mathematics and 15 papers in Computer Networks and Communications. Recurrent topics in Christian Grimme's work include Advanced Multi-Objective Optimization Algorithms (21 papers), Metaheuristic Optimization Algorithms Research (18 papers) and Distributed and Parallel Computing Systems (12 papers). Christian Grimme is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (21 papers), Metaheuristic Optimization Algorithms Research (18 papers) and Distributed and Parallel Computing Systems (12 papers). Christian Grimme collaborates with scholars based in Germany, Netherlands and Australia. Christian Grimme's co-authors include Heike Trautmann, Mike Preuß, Lena Clever, Alexander Papaspyrou, Dennis Assenmacher, Günter Rudolph, Jakob Bossek, Oliver Schütze, Lena Frischlich and Thorsten Quandt and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, International Journal of Information Management and Computers & Operations Research.

In The Last Decade

Christian Grimme

46 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Grimme Germany 10 202 130 121 93 74 48 427
Oliver Vornberger Germany 10 92 0.5× 70 0.5× 51 0.4× 47 0.5× 67 0.9× 46 427
Amitabha Bagchi India 12 131 0.6× 53 0.4× 137 1.1× 82 0.9× 197 2.7× 57 526
Steven J. DeRose United States 10 454 2.2× 72 0.6× 114 0.9× 205 2.2× 128 1.7× 31 757
Kousik Das India 9 90 0.4× 51 0.4× 45 0.4× 40 0.4× 46 0.6× 23 490
Sana Moin Pakistan 5 271 1.3× 32 0.2× 87 0.7× 225 2.4× 105 1.4× 7 507
Sébastien Gambs Canada 12 507 2.5× 70 0.5× 139 1.1× 91 1.0× 67 0.9× 40 696
Guoyong Cai China 10 279 1.4× 15 0.1× 105 0.9× 165 1.8× 89 1.2× 53 494
Wan Shiou Yang Taiwan 9 102 0.5× 21 0.2× 113 0.9× 258 2.8× 92 1.2× 15 446
Yi Fang United States 13 396 2.0× 37 0.3× 69 0.6× 281 3.0× 49 0.7× 53 654
W. Richards Adrion United States 10 131 0.6× 41 0.3× 57 0.5× 268 2.9× 85 1.1× 35 632

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
1.
Bossek, Jakob & Christian Grimme. (2024). Generalised Kruskal Mutation for the Multi-Objective Minimum Spanning Tree Problem. Proceedings of the Genetic and Evolutionary Computation Conference. 133–141.
2.
Assenmacher, Dennis, et al.. (2023). Invasion@Ukraine: Providing and Describing a Twitter Streaming Dataset That Captures the Outbreak of War between Russia and Ukraine in 2022. Proceedings of the International AAAI Conference on Web and Social Media. 17. 1093–1101. 6 indexed citations
3.
Kerschke, Pascal, et al.. (2022). The objective that freed me: a multi-objective local search approach for continuous single-objective optimization. Natural Computing. 22(2). 271–285. 1 indexed citations
4.
Trautmann, Heike, et al.. (2022). On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 356–359. 1 indexed citations
5.
Grimme, Christian, et al.. (2022). MOLE. Proceedings of the Genetic and Evolutionary Computation Conference. 592–600. 3 indexed citations
6.
Coombs, Crispin, P Stacey, Peter Kawalek, et al.. (2021). What is it about humanity that we can’t give away to intelligent machines? A European perspective. International Journal of Information Management. 58. 102311–102311. 34 indexed citations
7.
Assenmacher, Dennis, Mike Preuß, André Calero Valdez, et al.. (2021). Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem. Social Science Computer Review. 40(6). 1496–1522. 16 indexed citations
8.
Assenmacher, Dennis, Lena Clever, Heike Trautmann, & Christian Grimme. (2020). Towards Real-Time and Unsupervised Campaign Detection in Social Media.. The Florida AI Research Society. 303–307. 2 indexed citations
9.
Grimme, Christian, Mike Preuß, Frank W. Takes, & Annie Waldherr. (2020). Disinformation in Open Online Media. Lecture notes in computer science. 8 indexed citations
10.
Bossek, Jakob, Christian Grimme, & Frank Neumann. (2019). On the benefits of biased edge-exchange mutation for the multi-criteria spanning tree problem. Proceedings of the Genetic and Evolutionary Computation Conference. 516–523. 5 indexed citations
11.
Grimme, Christian, Pascal Kerschke, Michael Emmerich, et al.. (2019). Sliding to the global optimum: How to benefit from non-global optima in multimodal multi-objective optimization. AIP conference proceedings. 2070. 20052–20052. 5 indexed citations
12.
Grimme, Christian & Jakob Bossek. (2018). Einführung in die Optimierung. 2 indexed citations
13.
Grimme, Christian, Mike Preuß, Lena Clever, & Heike Trautmann. (2017). Social Bots: Human-Like by Means of Human Control?. Big Data. 5(4). 279–293. 84 indexed citations
14.
Grimme, Christian, et al.. (2015). Multi-objective Analysis of Approaches to Dynamic Routing of a Vehicle. European Conference on Information Systems. 3 indexed citations
15.
Grimme, Christian, Christian Seiler, & Klaus Wohlrabe. (2014). Der Konflikt in der Ukraine und die Ergebnisse der ifo Unternehmensbefragungen. Econstor (Econstor). 67(18). 46–48. 1 indexed citations
16.
Grimme, Christian, et al.. (2011). Multi-criteria scheduling: an agent-based approach for expert knowledge integration. Journal of Scheduling. 16(4). 369–383. 7 indexed citations
17.
Grimme, Christian, et al.. (2010). Connecting Community-Grids by supporting job negotiation with coevolutionary Fuzzy-Systems. Soft Computing. 15(12). 2375–2387. 2 indexed citations
18.
Plantikow, Stefan, et al.. (2008). Generalizing the data management of three community grids. Future Generation Computer Systems. 25(3). 281–289. 5 indexed citations
19.
Grimme, Christian, et al.. (2007). Identifying job migration characteristics in decentralized grid scheduling scenarios. 124–129. 1 indexed citations
20.
Freitag, Stefan, et al.. (2007). On the Applicability of OGSA-BES to D-Grid Community Scheduling Systems. MPG.PuRe (Max Planck Society). 1 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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