Dirk Sudholt

4.1k total citations
114 papers, 2.0k citations indexed

About

Dirk Sudholt is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Dirk Sudholt has authored 114 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Artificial Intelligence, 66 papers in Computational Theory and Mathematics and 17 papers in Genetics. Recurrent topics in Dirk Sudholt's work include Metaheuristic Optimization Algorithms Research (94 papers), Evolutionary Algorithms and Applications (83 papers) and Advanced Multi-Objective Optimization Algorithms (59 papers). Dirk Sudholt is often cited by papers focused on Metaheuristic Optimization Algorithms Research (94 papers), Evolutionary Algorithms and Applications (83 papers) and Advanced Multi-Objective Optimization Algorithms (59 papers). Dirk Sudholt collaborates with scholars based in United Kingdom, Germany and Australia. Dirk Sudholt's co-authors include Carsten Witt, Pietro S. Oliveto, Frank Neumann, Jörg Lässig, Jonathan E. Rowe, Timo Kötzing, Tobias Friedrich, Duc-Cuong Dang, Thomas Jansen and Per Kristian Lehre and has published in prestigious journals such as Genetics, IEEE Transactions on Software Engineering and Journal of Theoretical Biology.

In The Last Decade

Dirk Sudholt

108 papers receiving 2.0k citations

Peers

Countries citing papers authored by Dirk Sudholt

Since Specialization

Citations

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

Fields of papers citing papers by Dirk Sudholt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dirk Sudholt

This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Sudholt. A scholar is included among the top collaborators of Dirk Sudholt 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 Dirk Sudholt. Dirk Sudholt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The Compact Genetic Algorithm Struggles on Cliff Functions 2024 ·Algorithmica ·Frank Neumann, Dirk Sudholt, Carsten Witt	0
2	Runtime Analyses of NSGA-III on Many-Objective Problems 2024 ·Proceedings of the Genetic and Evolutionary Computation Conference ·(unknown), Duc-Cuong Dang, Frank Neumann, Dirk Sudholt	11
3	Runtime Analysis of Quality Diversity Algorithms 2024 ·Algorithmica ·Jakob Bossek, Dirk Sudholt	0
4	Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis 2024 ·Proceedings of the Genetic and Evolutionary Computation Conference ·Duc-Cuong Dang, (unknown), Dirk Sudholt	1
5	Guiding Quality Diversity on Monotone Submodular Functions: Customising the Feature Space by Adding Boolean Conjunctions 2024 ·Proceedings of the Genetic and Evolutionary Computation Conference ·(unknown), (unknown), Jakob Bossek, Frank Neumann, Dirk Sudholt	1
6	A Tight O (4 ^k /p _c ) Runtime Bound for a (μ+1)GA on Jump _k for Realistic Crossover Probabilities 2024 ·Proceedings of the Genetic and Evolutionary Computation Conference ·(unknown), Johannes Lengler, Dirk Sudholt	0
7	Analysing Equilibrium States for Population Diversity 2024 ·Algorithmica ·Johannes Lengler, (unknown), Dirk Sudholt	0
8	A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Duc-Cuong Dang, (unknown), Bahare Salehi, Dirk Sudholt	19
9	Self-adjusting Population Sizes for Non-elitist Evolutionary Algorithms: Why Success Rates Matter 2023 ·Algorithmica ·(unknown), Dirk Sudholt	4
10	Do additional target points speed up evolutionary algorithms? 2023 ·Theoretical Computer Science ·Jakob Bossek, Dirk Sudholt	1
11	On the Runtime Analysis of the Clearing Diversity-Preserving Mechanism 2019 ·White Rose Research Online (University of Leeds, The University of Sheffield, University of York) ·(unknown), Dirk Sudholt	7
12	On the impact of the cutoff time on the performance of algorithm configurators 2019 ·Proceedings of the Genetic and Evolutionary Computation Conference ·(unknown), Pietro S. Oliveto, Dirk Sudholt	3
13	Time complexity analysis of RLS and (1 + 1) EA for the edge coloring problem 2019 ·Jakob Bossek, Dirk Sudholt	3
14	How to Escape Local Optima in Black Box Optimisation: When Non-elitism Outperforms Elitism 2017 ·Algorithmica ·Pietro S. Oliveto, Tiago Paixão, (unknown), Dirk Sudholt, Barbora Trubenová	25
15	On Easiest Functions for Mutation Operators in Bio-Inspired Optimisation 2016 ·Algorithmica ·Doğan Çörüş, Jun He, Thomas Jansen, Pietro S. Oliveto, Dirk Sudholt, Christine Zarges	12
16	Runtime Analysis for the Parameter-less Population Pyramid 2016 ·Brian W. Goldman, Dirk Sudholt	6
17	Toward a unifying framework for evolutionary processes 2015 ·Journal of Theoretical Biology ·Tiago Paixão, (unknown), Nick Barton, Doğan Çörüş, Duc-Cuong Dang, Tobias Friedrich, Per Kristian Lehre, Dirk Sudholt, Andrew M. Sutton, Barbora Trubenová	20
18	The choice of the offspring population size in the (1,λ) evolutionary algorithm 2013 ·Theoretical Computer Science ·Jonathan E. Rowe, Dirk Sudholt	72
19	Runtime analysis of a binary particle swarm optimizer 2010 ·Theoretical Computer Science ·Dirk Sudholt, Carsten Witt	41
20	The benefit of migration in parallel evolutionary algorithms 2010 ·University of Birmingham Research Portal (University of Birmingham) ·Jörg Lässig, Dirk Sudholt	21

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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