J. Inglis
Impact in
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- stochastic dynamics and bifurcation
- Advanced Thermodynamics and Statistical Mechanics
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
Papers in
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- Spectral Theory in Mathematical Physics 3
- Stochastic processes and statistical mechanics 2
-
- stochastic dynamics and bifurcation 5
- Advanced Thermodynamics and Statistical Mechanics 3
- Co-authors
- François Delarue (2 shared papers)Étienne Tanré (2 shared papers)Olivier Faugeras (1 shared paper)Bogusław Zegarliński (3 shared papers)Denis Talay (1 shared paper)Vasilis Kontis (1 shared paper)
- Journals
- Stochastic Processes and their Applications (1 paper)Journal of Mathematical Biology (1 paper)SIAM Journal on Mathematical Analysis (1 paper)Journal of Spectral Theory (1 paper)Infinite Dimensional Analysis Quantum Probability and Related Topics (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
J. Inglis
10 papers receiving 242 citations
Peers
Comparison fields: 5 of 58
- Statistical and Nonlinear Physics 103
- Mathematical Physics 48
- Cognitive Neuroscience 86
- Finance 40
- Modeling and Simulation 17
Countries citing papers authored by J. Inglis
This map shows the geographic impact of J. Inglis'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 J. Inglis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Inglis more than expected).
Fields of papers citing papers by J. Inglis
This network shows the impact of papers produced by J. Inglis. 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 J. Inglis. The network helps show where J. Inglis may publish in the future.
Co-authors
The 6 scholars most cited alongside J. Inglis, 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 | 2015 | 57 | |
| 2 | 1978 | 55 | |
| 3 | 2015 | 50 | |
| 4 | 2014 | 36 | |
| 5 | 2016 | 25 | |
| 6 | 2010 | 12 | |
| 7 | 2015 | 8 | |
| 8 | Coercive Inequalities for Generators of H¨ ormander Type | 2010 | 6 |
| 9 | 2012 | 6 | |
| 10 | 2012 | 2 | |
| 11 | 2010 | 1 | |
| 12 | 2010 | 1 |
About J. Inglis
J. Inglis is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Cognitive Neuroscience, Applied Mathematics and Artificial Intelligence, having authored 12 papers that have together received 259 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (5 papers), Neural dynamics and brain function (5 papers), Spectral Theory in Mathematical Physics (3 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), Geometric Analysis and Curvature Flows (2 papers), Stochastic processes and statistical mechanics (2 papers), Markov Chains and Monte Carlo Methods (2 papers) and Nonlinear Partial Differential Equations (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (103 citations), Mathematical Physics (48 citations), Cognitive Neuroscience (86 citations), Finance (40 citations) and Modeling and Simulation (17 citations). J. Inglis has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include François Delarue, Étienne Tanré, Olivier Faugeras, Bogusław Zegarliński, Denis Talay and Vasilis Kontis. Their work appears in journals such as Stochastic Processes and their Applications, Journal of Mathematical Biology, SIAM Journal on Mathematical Analysis, Journal of Spectral Theory and Infinite Dimensional Analysis Quantum Probability and Related Topics.
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.