Thilo Mahnig
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Bayesian Modeling and Causal Inference
- Bayesian Methods and Mixture Models
- Neural Networks and Applications
- Algorithms and Data Compression
- Machine Learning and Algorithms
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Evolutionary Algorithms and Applications 6
- Metaheuristic Optimization Algorithms Research 5
- Neural Networks and Applications 5
- Bayesian Modeling and Causal Inference 1
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- Advanced Multi-Objective Optimization Algorithms 4
- Journals
- Applied Soft Computing (1 paper)Journal of Heuristics (1 paper)Evolutionary Computation (1 paper)New Generation Computing (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
In The Last Decade
Thilo Mahnig
10 papers receiving 404 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 383
- Computational Theory and Mathematics 123
- Statistics and Probability 25
- Signal Processing 25
- Industrial and Manufacturing Engineering 22
Countries citing papers authored by Thilo Mahnig
This map shows the geographic impact of Thilo Mahnig'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 Thilo Mahnig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thilo Mahnig more than expected).
Fields of papers citing papers by Thilo Mahnig
This network shows the impact of papers produced by Thilo Mahnig. 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 Thilo Mahnig. The network helps show where Thilo Mahnig may publish in the future.
Co-authors
The 2 scholars most cited alongside Thilo Mahnig, 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 | 1999 | 176 | |
| 2 | 1999 | 174 | |
| 3 | 2003 | 35 | |
| 4 | Evolutionary Algorithms and the Boltzmann Distribution. | 2002 | 18 |
| 5 | 2002 | 16 | |
| 6 | 2003 | 9 | |
| 7 | 2000 | 8 | |
| 8 | 2003 | 8 | |
| 9 | 2006 | 5 | |
| 10 | 2003 | 3 |
About Thilo Mahnig
Thilo Mahnig is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 452 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (6 papers), Metaheuristic Optimization Algorithms Research (5 papers), Neural Networks and Applications (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), VLSI and FPGA Design Techniques (3 papers), Optimization and Search Problems (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Lattice Boltzmann Simulation Studies (1 paper). The work is most often cited by research in Artificial Intelligence (383 citations), Computational Theory and Mathematics (123 citations), Statistics and Probability (25 citations), Signal Processing (25 citations) and Industrial and Manufacturing Engineering (22 citations). Thilo Mahnig has collaborated with scholars based in France and Poland. Frequent co-authors include Heinz Mühlenbein and Vladimir Kureichik. Their work appears in journals such as Applied Soft Computing, Journal of Heuristics, Evolutionary Computation, New Generation Computing and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.