Michael Field
Impact in
- Mathematical Physics top 5%
- Mathematical Dynamics and Fractals
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- Quantum chaos and dynamical systems
- Chaos control and synchronization
- stochastic dynamics and bifurcation
Papers in
-
- Mathematical Dynamics and Fractals 11
- Homotopy and Cohomology in Algebraic Topology 3
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- Quantum chaos and dynamical systems 10
- Chaos control and synchronization 5
- Co-authors
- Martin Golubitsky (5 shared papers)Ian Melbourne (5 shared papers)Peter Ashwin (3 shared papers)O.A. Asbjørnsen (1 shared paper)Andrei Török (3 shared papers)William Parry (1 shared paper)Nikita Agarwal (3 shared papers)Matthew Nicol (4 shared papers)
- Journals
- Nonlinearity (5 papers)Dynamical Systems (2 papers)Memoirs of the American Mathematical Society (2 papers)Ergodic Theory and Dynamical Systems (2 papers)Journal of Nonlinear Science (2 papers)
- Partner nations
- United StatesUnited KingdomRomania
In The Last Decade
Michael Field
34 papers receiving 489 citations
Peers
Comparison fields: 5 of 91
- Mathematical Physics 166
- Statistical and Nonlinear Physics 224
- Geometry and Topology 88
- Computer Networks and Communications 199
- Cognitive Neuroscience 68
Countries citing papers authored by Michael Field
This map shows the geographic impact of Michael Field'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 Field with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Field more than expected).
Fields of papers citing papers by Michael Field
This network shows the impact of papers produced by Michael Field. 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 Field. The network helps show where Michael Field may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Field, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 53 | |
| 2 | 2004 | 46 | |
| 3 | 1970 | 43 | |
| 4 | 2003 | 37 | |
| 5 | 1993 | 37 | |
| 6 | 2009 | 32 | |
| 7 | 2007 | 31 | |
| 8 | 1999 | 28 | |
| 9 | 1996 | 20 | |
| 10 | 1995 | 19 | |
| 11 | 1996 | 18 | |
| 12 | 1991 | 16 | |
| 13 | 2010 | 14 | |
| 14 | 2005 | 14 | |
| 15 | 1995 | 14 | |
| 16 | 2005 | 14 | |
| 17 | 1999 | 12 | |
| 18 | 2003 | 11 | |
| 19 | 2010 | 10 | |
| 20 | 1994 | 9 |
About Michael Field
Michael Field is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Computer Networks and Communications, Geometry and Topology and Molecular Biology, having authored 34 papers that have together received 533 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (11 papers), Mathematical Dynamics and Fractals (11 papers), Quantum chaos and dynamical systems (10 papers), Chaos control and synchronization (5 papers), Homotopy and Cohomology in Algebraic Topology (3 papers), Gene Regulatory Network Analysis (3 papers), Geometry and complex manifolds (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Mathematical Physics (166 citations), Statistical and Nonlinear Physics (224 citations), Geometry and Topology (88 citations), Computer Networks and Communications (199 citations) and Cognitive Neuroscience (68 citations). Michael Field has collaborated with scholars based in United States, United Kingdom and Romania. Frequent co-authors include Martin Golubitsky, Ian Melbourne, Peter Ashwin, O.A. Asbjørnsen, Andrei Török, William Parry, Nikita Agarwal, Matthew Nicol, R. Friedberg and Ian Stewart. Their work appears in journals such as Nonlinearity, Dynamical Systems, Memoirs of the American Mathematical Society, Ergodic Theory and Dynamical Systems and Journal of Nonlinear Science.
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.