André Longtin
Impact in
- Statistical and Nonlinear Physics top 0.05%
- stochastic dynamics and bifurcation
- Chaos control and synchronization
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function
Papers in
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- Neural dynamics and brain function 154
-
- stochastic dynamics and bifurcation 115
- Chaos control and synchronization 15
- Co-authors
- B. Galdrikian (3 shared papers)James Theiler (3 shared papers)J. Doyne Farmer (3 shared papers)Stephen Eubank (3 shared papers)Leonard Maler (56 shared papers)Maurice J. Chacron (19 shared papers)John Milton (9 shared papers)Benjamin Lindner (13 shared papers)
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (10 papers)BMC Neuroscience (9 papers)Journal of Neurophysiology (9 papers)Journal of Computational Neuroscience (8 papers)Physical Review Letters (8 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
André Longtin
217 papers receiving 11.2k citations
André Longtin's Hit Papers
Peers
Comparison fields: 5 of 178
- Statistical and Nonlinear Physics 5.3k
- Cognitive Neuroscience 6.0k
- Computer Networks and Communications 2.8k
- Cellular and Molecular Neuroscience 1.8k
- Nature and Landscape Conservation 1.2k
Countries citing papers authored by André Longtin
This map shows the geographic impact of André Longtin'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 André Longtin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Longtin more than expected).
Fields of papers citing papers by André Longtin
This network shows the impact of papers produced by André Longtin. 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 André Longtin. The network helps show where André Longtin may publish in the future.
Co-authors
The 25 scholars most cited alongside André Longtin, 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 222 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Testing for nonlinearity in time series: the method of surrogate data Hit paper breakdown → | 1992 | 3022 |
| 2 | 1991 | 428 | |
| 3 | 2002 | 301 | |
| 4 | 1999 | 294 | |
| 5 | 1996 | 273 | |
| 6 | 1997 | 268 | |
| 7 | 2011 | 198 | |
| 8 | 1988 | 185 | |
| 9 | 2001 | 172 | |
| 10 | 2005 | 163 | |
| 11 | 2003 | 160 | |
| 12 | 1997 | 154 | |
| 13 | 2003 | 138 | |
| 14 | Using Surrogate Data to Detect Nonlinearity in Time Series | 1991 | 132 |
| 15 | 2002 | 129 | |
| 16 | 1990 | 129 | |
| 17 | 2005 | 120 | |
| 18 | 2015 | 120 | |
| 19 | 1998 | 111 | |
| 20 | 2000 | 110 |
About André Longtin
André Longtin is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Computer Networks and Communications, Nature and Landscape Conservation and Cellular and Molecular Neuroscience, having authored 222 papers that have together received 11.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (154 papers), stochastic dynamics and bifurcation (115 papers), Nonlinear Dynamics and Pattern Formation (66 papers), Fish biology, ecology, and behavior (46 papers), Advanced Memory and Neural Computing (28 papers), Neuroscience and Neural Engineering (19 papers), Chaos control and synchronization (15 papers) and Neural Networks and Applications (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (5.3k citations), Cognitive Neuroscience (6.0k citations), Computer Networks and Communications (2.8k citations), Cellular and Molecular Neuroscience (1.8k citations) and Nature and Landscape Conservation (1.2k citations). André Longtin has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include B. Galdrikian, James Theiler, J. Doyne Farmer, Stephen Eubank, Leonard Maler, Maurice J. Chacron, John Milton, Benjamin Lindner, Brent Doiron and Adi R. Bulsara. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, BMC Neuroscience, Journal of Neurophysiology, Journal of Computational Neuroscience and Physical Review 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.