C. Bohm
Impact in
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- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
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- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
Papers in
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- Evolutionary Algorithms and Applications 4
- Reinforcement Learning in Robotics 2
- Neural Networks and Applications 1
- Metaheuristic Optimization Algorithms Research 1
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- Modular Robots and Swarm Intelligence 2
- Co-authors
- Arend Hintze (4 shared papers)Douglas Kirkpatrick (2 shared papers)Charles Ofria (6 shared papers)Payam Aminpour (1 shared paper)Christoph Adami (1 shared paper)Alexander Lalejini (2 shared papers)Kyle D. Perry (1 shared paper)Emily Dolson (2 shared papers)
- Journals
- Artificial Life (1 paper)Neural Computation (1 paper)PLoS ONE (1 paper)Entropy (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
C. Bohm
10 papers receiving 31 citations
Peers
Comparison fields: 5 of 19
- Cognitive Neuroscience 12
- Artificial Intelligence 12
- Genetics 7
- Cultural Studies 2
- Sociology and Political Science 9
Countries citing papers authored by C. Bohm
This map shows the geographic impact of C. Bohm'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 C. Bohm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Bohm more than expected).
Fields of papers citing papers by C. Bohm
This network shows the impact of papers produced by C. Bohm. 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 C. Bohm. The network helps show where C. Bohm may publish in the future.
Co-authors
The 9 scholars most cited alongside C. Bohm, 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 | 2017 | 10 | |
| 2 | 2022 | 4 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 4 | |
| 5 | 2019 | 3 | |
| 6 | 2021 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2021 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2022 | 0 | |
| 12 | 2019 | 0 | |
| 13 | 2025 | 0 |
About C. Bohm
C. Bohm is a scholar working on Artificial Intelligence, Mechanical Engineering, Cellular and Molecular Neuroscience, Social Psychology and Sociology and Political Science, having authored 13 papers that have together received 31 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (4 papers), Reinforcement Learning in Robotics (2 papers), Modular Robots and Swarm Intelligence (2 papers), Neuroscience and Neural Engineering (1 paper), Wildlife Ecology and Conservation (1 paper), Neural dynamics and brain function (1 paper), Neural Networks and Applications (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (12 citations), Artificial Intelligence (12 citations), Genetics (7 citations), Cultural Studies (2 citations) and Sociology and Political Science (9 citations). C. Bohm has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Arend Hintze, Douglas Kirkpatrick, Charles Ofria, Payam Aminpour, Christoph Adami, Alexander Lalejini, Kyle D. Perry, Emily Dolson and David Parsons. Their work appears in journals such as Artificial Life, Neural Computation, PLoS ONE, Entropy and HAL (Le Centre pour la Communication Scientifique Directe).
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.