William Ott
Impact in
- Mathematical Physics top 5%
- Mathematical Dynamics and Fractals
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- Quantum chaos and dynamical systems
- Chaos control and synchronization
Papers in
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- Gene Regulatory Network Analysis 14
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- Mathematical Dynamics and Fractals 13
- Co-authors
- Krešimir Josić́ (16 shared papers)Matthew R. Bennett (14 shared papers)James A. Yorke (4 shared papers)Chinmaya Gupta (6 shared papers)Ye Chen (2 shared papers)José M. López (2 shared papers)Razan N. Alnahhas (4 shared papers)David L. Shis (2 shared papers)
- Journals
- SIAM Journal on Applied Dynamical Systems (3 papers)ACS Synthetic Biology (3 papers)Physical Review Letters (3 papers)PLoS Computational Biology (3 papers)Mathematical Research Letters (2 papers)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
William Ott
38 papers receiving 712 citations
Peers
Comparison fields: 5 of 101
- Mathematical Physics 122
- Statistical and Nonlinear Physics 165
- Biophysics 34
- Molecular Biology 383
- Genetics 121
Countries citing papers authored by William Ott
This map shows the geographic impact of William Ott'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 William Ott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Ott more than expected).
Fields of papers citing papers by William Ott
This network shows the impact of papers produced by William Ott. 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 William Ott. The network helps show where William Ott may publish in the future.
Co-authors
The 25 scholars most cited alongside William Ott, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 131 | |
| 2 | 2020 | 62 | |
| 3 | 2011 | 61 | |
| 4 | 2014 | 52 | |
| 5 | 2013 | 50 | |
| 6 | 2005 | 49 | |
| 7 | 2019 | 40 | |
| 8 | 2008 | 27 | |
| 9 | 2009 | 27 | |
| 10 | 2017 | 23 | |
| 11 | 2020 | 22 | |
| 12 | 2021 | 22 | |
| 13 | 2011 | 21 | |
| 14 | 2019 | 17 | |
| 15 | 2003 | 15 | |
| 16 | 2010 | 13 | |
| 17 | 2018 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2013 | 10 |
About William Ott
William Ott is a scholar working on Molecular Biology, Mathematical Physics, Statistical and Nonlinear Physics, Computer Networks and Communications and Genetics, having authored 40 papers that have together received 737 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (14 papers), Mathematical Dynamics and Fractals (13 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Quantum chaos and dynamical systems (5 papers), Molecular Communication and Nanonetworks (4 papers), Chaos control and synchronization (4 papers), Bacterial Genetics and Biotechnology (3 papers) and Evolution and Genetic Dynamics (3 papers). The work is most often cited by research in Mathematical Physics (122 citations), Statistical and Nonlinear Physics (165 citations), Biophysics (34 citations), Molecular Biology (383 citations) and Genetics (121 citations). William Ott has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Krešimir Josić́, Matthew R. Bennett, James A. Yorke, Chinmaya Gupta, Ye Chen, José M. López, Razan N. Alnahhas, David L. Shis, Joanne M. L. Ho and Daniel S. Wagner. Their work appears in journals such as SIAM Journal on Applied Dynamical Systems, ACS Synthetic Biology, Physical Review Letters, PLoS Computational Biology and Mathematical Research Letters.
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.