Benjamin Doerr
Impact in
- Computational Theory and Mathematics top 0.2%
- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Algorithms and Data Compression
Papers in
-
- Metaheuristic Optimization Algorithms Research 79
- Evolutionary Algorithms and Applications 66
- Algorithms and Data Compression 18
- Machine Learning and Algorithms 10
-
- Advanced Multi-Objective Optimization Algorithms 61
- Co-authors
- Weijie Zheng (18 shared papers)Carola Doerr (19 shared papers)Anne Auger (1 shared paper)Tobias Friedrich (8 shared papers)Mahmoud Fouz (3 shared papers)Frank Neumann (12 shared papers)Timo Kötzing (12 shared papers)Denis Antipov (12 shared papers)
In The Last Decade
Benjamin Doerr
140 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 103
- Computational Theory and Mathematics 1.2k
- Artificial Intelligence 1.6k
- Numerical Analysis 109
- Statistical and Nonlinear Physics 227
- Industrial and Manufacturing Engineering 142
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-authors
The 25 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
Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 237 | |
| 2 | 2011 | 195 | |
| 3 | 2017 | 133 | |
| 4 | 2014 | 120 | |
| 5 | 2020 | 84 | |
| 6 | 2017 | 65 | |
| 7 | 2010 | 62 | |
| 8 | 2023 | 45 | |
| 9 | 2008 | 38 | |
| 10 | 2022 | 37 | |
| 11 | 2014 | 37 | |
| 12 | 2023 | 36 | |
| 13 | 2011 | 36 | |
| 14 | 2012 | 35 | |
| 15 | 2018 | 34 | |
| 16 | 2020 | 31 | |
| 17 | 2018 | 31 | |
| 18 | 2009 | 30 | |
| 19 | 2017 | 30 | |
| 20 | 2017 | 30 |
About Benjamin Doerr
Benjamin Doerr is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Numerical Analysis and Statistical and Nonlinear Physics, having authored 151 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (79 papers), Evolutionary Algorithms and Applications (66 papers), Advanced Multi-Objective Optimization Algorithms (61 papers), Mathematical Approximation and Integration (20 papers), Algorithms and Data Compression (18 papers), Digital Image Processing Techniques (10 papers), Machine Learning and Algorithms (10 papers) and Complex Network Analysis Techniques (10 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Artificial Intelligence (1.6k citations), Numerical Analysis (109 citations), Statistical and Nonlinear Physics (227 citations) and Industrial and Manufacturing Engineering (142 citations). Benjamin Doerr has collaborated with scholars based in France, Germany and China. Frequent co-authors include Weijie Zheng, Carola Doerr, Anne Auger, Tobias Friedrich, Mahmoud Fouz, Frank Neumann, Timo Kötzing, Denis Antipov, Maxim Buzdalov and Christian Klein. Their work appears in journals such as Algorithmica, Theoretical Computer Science, IEEE Transactions on Evolutionary Computation, Journal of Complexity and Random Structures and Algorithms.
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.