Benjamin Doerr
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- Advanced Multi-Objective Optimization Algorithms 12
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications 23
- Metaheuristic Optimization Algorithms Research 22
- Algorithms and Data Compression 5
- Reinforcement Learning in Robotics 3
- Artificial Intelligence in Games 3
- Bayesian Modeling and Causal Inference 2
- Machine Learning and Algorithms 2
- Co-authors
- Carsten WittFrank NeumannMahmoud FouzJing YangDirk SudholtZhongdi QuDenis AntipovAndrew M. Sutton
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceIndustrial and Manufacturing Engineering
In The Last Decade
Benjamin Doerr
32 papers receiving 482 citations
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 274
- Artificial Intelligence 405
- Industrial and Manufacturing Engineering 31
- Computer Networks and Communications 62
- Management Science and Operations Research 31
Countries citing papers authored by Benjamin Doerr
This map shows the geographic impact of Benjamin Doerr'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 Benjamin Doerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Doerr more than expected).
Fields of papers citing papers by Benjamin Doerr
This network shows the impact of papers produced by Benjamin Doerr. 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 Benjamin Doerr. The network helps show where Benjamin Doerr may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Benjamin Doerr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 26 | |
| 8 | 2023 | 1 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 95 | |
| 13 | 2019 | 20 | |
| 14 | 2019 | 19 | |
| 15 | 2018 | 0 | |
| 16 | 2018 | 15 | |
| 17 | Memory-Constrained Algorithms for Shortest Path Problem | 2011 | 6 |
| 18 | 2011 | 35 | |
| 19 | 2010 | 31 | |
| 20 | 2007 | 28 |
About Benjamin Doerr
Benjamin Doerr is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 33 papers that have together received 487 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (23 papers), Metaheuristic Optimization Algorithms Research (22 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), Algorithms and Data Compression (5 papers), Reinforcement Learning in Robotics (3 papers), Artificial Intelligence in Games (3 papers), Bayesian Modeling and Causal Inference (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Computational Theory and Mathematics (274 citations), Artificial Intelligence (405 citations) and Industrial and Manufacturing Engineering (31 citations). Benjamin Doerr has collaborated with scholars based in France, Germany and Denmark. Frequent co-authors include Carsten Witt, Frank Neumann, Mahmoud Fouz, Jing Yang, Dirk Sudholt, Zhongdi Qu, Denis Antipov, Andrew M. Sutton, Timo Kötzing and Johannes Lengler. Their work appears in journals such as Theoretical Computer Science, Algorithmica, Artificial Intelligence, Soft Computing and SPIRE - Sciences Po Institutional REpository.
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.