L. F. Abbott
- Nuclear and High Energy Physics top 0.2%
- Black Holes and Theoretical Physics 30
- Particle physics theoretical and experimental studies 27
- Quantum Chromodynamics and Particle Interactions 24
- Cognitive Neuroscience top 0.2%
- Neural dynamics and brain function 44
- Cellular and Molecular Neuroscience top 0.2%
- Neuroscience and Neuropharmacology Research 11
- Statistical and Nonlinear Physics top 0.2%
- Astronomy and Astrophysics top 0.5%
- Cosmology and Gravitation Theories 21
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- Advanced Memory and Neural Computing 15
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- Neural Networks and Applications 14
L. F. Abbott
120 papers receiving 12.2k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Nuclear and High Energy Physics 4.2k
- Cognitive Neuroscience 5.5k
- Cellular and Molecular Neuroscience 4.1k
- Statistical and Nonlinear Physics 2.3k
- Astronomy and Astrophysics 2.9k
Countries citing papers authored by L. F. Abbott
This map shows the geographic impact of L. F. Abbott'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 L. F. Abbott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. F. Abbott more than expected).
Fields of papers citing papers by L. F. Abbott
This network shows the impact of papers produced by L. F. Abbott. 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 L. F. Abbott. The network helps show where L. F. Abbott may publish in the future.
Co-authorship network
The 25 scholars most cited alongside L. F. Abbott, 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 28 | |
| 7 | 2020 | 78 | |
| 8 | 2016 | 137 | |
| 9 | 2016 | 55 | |
| 10 | 2011 | 80 | |
| 11 | 2011 | 84 | |
| 12 | 2010 | 171 | |
| 13 | Synaptic computationbreakdown → | 2004 | 1296 |
| 14 | 1999 | 154 | |
| 15 | Dynamic clamp: computer-neural hybrids | 1998 | 3 |
| 16 | 1996 | 81 | |
| 17 | 1994 | 49 | |
| 18 | When inhibition not excitation synchronizes neural firingbreakdown → | 1994 | 586 |
| 19 | 1991 | 43 | |
| 20 | 1988 | 7 |
About L. F. Abbott
L. F. Abbott is a scholar working on Nuclear and High Energy Physics, Cognitive Neuroscience and Statistical and Nonlinear Physics, having authored 121 papers that have together received 12.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (44 papers), Black Holes and Theoretical Physics (30 papers), Particle physics theoretical and experimental studies (27 papers), Quantum Chromodynamics and Particle Interactions (24 papers), Cosmology and Gravitation Theories (21 papers), Advanced Memory and Neural Computing (15 papers), Neural Networks and Applications (14 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Nuclear and High Energy Physics (4.2k citations), Cognitive Neuroscience (5.5k citations) and Cellular and Molecular Neuroscience (4.1k citations). L. F. Abbott has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Mark B. Wise, Wade G. Regehr, Sacha B. Nelson, S. Deser, Juan A. Varela, Kamal Sen, Carl van Vreeswijk, Edward Farhi, G. Bard Ermentrout and Eve Marder. Their work appears in journals such as Nuclear Physics B, Physics Letters B, Network Computation in Neural Systems, Nature Neuroscience and Nature.
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.