David K. Warland
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology
- Electrical and Electronic Engineering top 10%
- Statistical and Nonlinear Physics top 2%
- Co-authors
- Markus MeisterWilliam BialekFred RiekeMichael J. BerryRob R. de Ruyter van SteveninckPamela ReinagelStelios M. SmirnakisAndrew D. Huberman
- Topics
- Neural dynamics and brain function (10 papers)Retinal Development and Disorders (5 papers)Photoreceptor and optogenetics research (4 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
David K. Warland
21 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Cognitive Neuroscience 1.8k
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 599
- Electrical and Electronic Engineering 358
- Statistical and Nonlinear Physics 282
Countries citing papers authored by David K. Warland
This map shows the geographic impact of David K. Warland'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 David K. Warland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David K. Warland more than expected).
Fields of papers citing papers by David K. Warland
This network shows the impact of papers produced by David K. Warland. 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 David K. Warland. The network helps show where David K. Warland may publish in the future.
Co-authorship network of co-authors of David K. Warland
This figure shows the co-authorship network connecting the top 25 collaborators of David K. Warland. A scholar is included among the top collaborators of David K. Warland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David K. Warland. David K. Warland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 63 | |
| 3 | 50 | |
| 4 | 28 | |
| 5 | 61 | |
| 6 | 27 | |
| 7 | 43 | |
| 8 | 79 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 191 | |
| 12 | 384 | |
| 13 | 374 | |
| 14 | 273 | |
| 15 | 18 | |
| 16 | 56 | |
| 17 | 45 | |
| 18 | Reading Between the Spikes: Real-Time Signal Processing in Neural Systems | 1 |
| 19 | Reading a Neural Codebreakdown → | 739 |
| 20 | Reading a Neural Code | 2 |
About David K. Warland
David K. Warland is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics, having authored 21 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Retinal Development and Disorders (5 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Cellular and Molecular Neuroscience (1.3k citations) and Statistical and Nonlinear Physics (282 citations). David K. Warland has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Markus Meister, William Bialek, Fred Rieke, Michael J. Berry, Rob R. de Ruyter van Steveninck, Pamela Reinagel, Stelios M. Smirnakis, Andrew D. Huberman, Leo M. Chalupa and W. Martin Usrey. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.