Michael Conrad
Impact in
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- Complex Systems and Dynamics
- History and Philosophy of Science top 0.1%
- Philosophy and History of Science
Papers in
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- Complex Systems and Dynamics 22
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- Neural Networks and Applications 31
- Evolutionary Algorithms and Applications 19
- Co-authors
- Peter Calow (1 shared paper)Klaus‐Peter Zauner (14 shared papers)Mateen M. Rizki (4 shared papers)Jong‐Chen Chen (5 shared papers)Howard Hunt Pattee (1 shared paper)Efim A. Liberman (3 shared papers)W. Güttinger (2 shared papers)Mario Dal Cin (2 shared papers)
- Journals
- Biosystems (35 papers)Journal of Theoretical Biology (11 papers)Bulletin of Mathematical Biology (7 papers)Chaos Solitons & Fractals (6 papers)Soft Computing (4 papers)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
Michael Conrad
162 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 155
- Statistical and Nonlinear Physics 569
- History and Philosophy of Science 482
- Artificial Intelligence 840
- Computational Theory and Mathematics 352
- Molecular Biology 903
Countries citing papers authored by Michael Conrad
This map shows the geographic impact of Michael Conrad'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 Michael Conrad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Conrad more than expected).
Fields of papers citing papers by Michael Conrad
This network shows the impact of papers produced by Michael Conrad. 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 Michael Conrad. The network helps show where Michael Conrad may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Conrad, 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 174 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1979 | 257 | |
| 2 | 1984 | 159 | |
| 3 | 1990 | 155 | |
| 4 | 1985 | 135 | |
| 5 | 1990 | 112 | |
| 6 | 1974 | 96 | |
| 7 | 1983 | 96 | |
| 8 | 1974 | 82 | |
| 9 | 1970 | 77 | |
| 10 | 1979 | 69 | |
| 11 | 1992 | 65 | |
| 12 | 1983 | 63 | |
| 13 | 1972 | 62 | |
| 14 | 1996 | 62 | |
| 15 | 1994 | 59 | |
| 16 | 1990 | 54 | |
| 17 | 1979 | 52 | |
| 18 | 1992 | 50 | |
| 19 | 1970 | 49 | |
| 20 | 1985 | 49 |
About Michael Conrad
Michael Conrad is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Cognitive Neuroscience, History and Philosophy of Science and Molecular Biology, having authored 174 papers that have together received 3.6k indexed citations. Recurring topics across this work include DNA and Biological Computing (49 papers), Neural Networks and Applications (31 papers), Evolution and Genetic Dynamics (25 papers), Complex Systems and Dynamics (22 papers), Neural dynamics and brain function (22 papers), Evolutionary Algorithms and Applications (19 papers), Philosophy and History of Science (14 papers) and Protein Structure and Dynamics (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (569 citations), History and Philosophy of Science (482 citations), Artificial Intelligence (840 citations), Computational Theory and Mathematics (352 citations) and Molecular Biology (903 citations). Michael Conrad has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Peter Calow, Klaus‐Peter Zauner, Mateen M. Rizki, Jong‐Chen Chen, Howard Hunt Pattee, Efim A. Liberman, W. Güttinger, Mario Dal Cin, Harold M. Hastings and W. Ebeling. Their work appears in journals such as Biosystems, Journal of Theoretical Biology, Bulletin of Mathematical Biology, Chaos Solitons & Fractals and Soft Computing.
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.