Jonathan H. Cornford
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
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- Epilepsy research and treatment
Papers in
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- Neuroscience and Neuropharmacology Research 4
- Neuroscience and Neural Engineering 2
- Photoreceptor and optogenetics research 1
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- Neural dynamics and brain function 4
- Memory and Neural Mechanisms 1
- Co-authors
- Dimitri Michael Kullmann (6 shared papers)Andreas Lieb (3 shared papers)Vincent Magloire (3 shared papers)Albert Snowball (2 shared papers)Stéphanie Schorge (2 shared papers)Ivan Pavlov (1 shared paper)Marion Mercier (2 shared papers)E Chabrol (1 shared paper)
- Journals
- Brain (1 paper)Nature Communications (1 paper)The Journal of Physiology (1 paper)eLife (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Jonathan H. Cornford
6 papers receiving 334 citations
Peers
Comparison fields: 5 of 48
- Cellular and Molecular Neuroscience 190
- Psychiatry and Mental health 66
- Aging 8
- Cognitive Neuroscience 72
- Business and International Management 6
Countries citing papers authored by Jonathan H. Cornford
This map shows the geographic impact of Jonathan H. Cornford'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 Jonathan H. Cornford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan H. Cornford more than expected).
Fields of papers citing papers by Jonathan H. Cornford
This network shows the impact of papers produced by Jonathan H. Cornford. 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 Jonathan H. Cornford. The network helps show where Jonathan H. Cornford may publish in the future.
Co-authors
The 24 scholars most cited alongside Jonathan H. Cornford, 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 | 2020 | 104 | |
| 2 | 2019 | 103 | |
| 3 | 2019 | 71 | |
| 4 | 2019 | 46 | |
| 5 | 2022 | 15 | |
| 6 | Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units | 2021 | 1 |
About Jonathan H. Cornford
Jonathan H. Cornford is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Genetics, Molecular Biology and Artificial Intelligence, having authored 6 papers that have together received 340 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (4 papers), CRISPR and Genetic Engineering (2 papers), Neuroscience and Neural Engineering (2 papers), Neural Networks and Applications (1 paper), Memory and Neural Mechanisms (1 paper), Photoreceptor and optogenetics research (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (190 citations), Psychiatry and Mental health (66 citations), Aging (8 citations), Cognitive Neuroscience (72 citations) and Business and International Management (6 citations). Jonathan H. Cornford has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Dimitri Michael Kullmann, Andreas Lieb, Vincent Magloire, Albert Snowball, Stéphanie Schorge, Ivan Pavlov, Marion Mercier, E Chabrol, Michael Häusser and Giulia Massaro. Their work appears in journals such as Brain, Nature Communications, The Journal of Physiology, eLife and Journal of Neuroscience.
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.