Carsten Witt
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
- Machine Learning and Algorithms
Papers in
-
- Advanced Multi-Objective Optimization Algorithms 45
-
- Metaheuristic Optimization Algorithms Research 79
- Evolutionary Algorithms and Applications 52
- Algorithms and Data Compression 12
- Machine Learning and Algorithms 10
- Co-authors
- Frank NeumannPietro S. OlivetoDirk SudholtPer Kristian LehreBenjamin DoerrAndrei LissovoiIngo WegenerTobias Friedrich
- Journals
- Algorithmica (17 papers)Theoretical Computer Science (10 papers)Evolutionary Computation (8 papers)Combinatorics Probability Computing (3 papers)Swarm Intelligence (2 papers)
- Partner nations
- DenmarkGermanyUnited Kingdom
In The Last Decade
Carsten Witt
102 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 94
- Computational Theory and Mathematics 1.3k
- Artificial Intelligence 2.2k
- Industrial and Manufacturing Engineering 287
- Computer Networks and Communications 360
- Management Science and Operations Research 149
Countries citing papers authored by Carsten Witt
This map shows the geographic impact of Carsten Witt'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 Carsten Witt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carsten Witt more than expected).
Fields of papers citing papers by Carsten Witt
This network shows the impact of papers produced by Carsten Witt. 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 Carsten Witt. The network helps show where Carsten Witt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carsten Witt, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 9 | |
| 9 | Upper Bounds on the Running Time of the Univariate Marginal Distribution Algorithm on OneMax | 2019 | 18 |
| 10 | 2018 | 11 | |
| 11 | 2017 | 4 | |
| 12 | 2017 | 22 | |
| 13 | 2015 | 79 | |
| 14 | 2013 | 39 | |
| 15 | 2011 | 16 | |
| 16 | 2010 | 41 | |
| 17 | 2010 | 55 | |
| 18 | 2007 | 69 | |
| 19 | Rigorous Runtime Analysis of a (µ+1) ES for the Sphere Function | 2005 | 3 |
| 20 | 2004 | 29 |
About Carsten Witt
Carsten Witt is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Industrial and Manufacturing Engineering and Signal Processing, having authored 109 papers that have together received 2.6k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (79 papers), Evolutionary Algorithms and Applications (52 papers), Advanced Multi-Objective Optimization Algorithms (45 papers), Optimization and Search Problems (18 papers), Algorithms and Data Compression (12 papers), Machine Learning and Algorithms (10 papers), Evolution and Genetic Dynamics (6 papers) and Constraint Satisfaction and Optimization (5 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Artificial Intelligence (2.2k citations), Industrial and Manufacturing Engineering (287 citations), Computer Networks and Communications (360 citations) and Management Science and Operations Research (149 citations). Carsten Witt has collaborated with scholars based in Denmark, Germany and United Kingdom. Frequent co-authors include Frank Neumann, Pietro S. Oliveto, Dirk Sudholt, Per Kristian Lehre, Benjamin Doerr, Andrei Lissovoi, Ingo Wegener, Tobias Friedrich, Jing Yang and Anne Auger. Their work appears in journals such as Algorithmica, Theoretical Computer Science, Evolutionary Computation, Combinatorics Probability Computing and Swarm Intelligence.
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.