David S. Greenberg
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Biophysics top 1%
- Computer Networks and Communications top 5%
- Co-authors
- Jason N. D. KerrFritjof HelmchenArthur R. HouwelingDamian J. WallaceJ SawińskiGiuseppe NotaroChristiaan P. J. de KockBert Sakmann
- Topics
- Parallel Computing and Optimization Techniques (10 papers)Interconnection Networks and Systems (9 papers)Neural dynamics and brain function (8 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
David S. Greenberg
42 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 134
- Cognitive Neuroscience 1.0k
- Cellular and Molecular Neuroscience 990
- Molecular Biology 340
- Biophysics 292
- Computer Networks and Communications 218
Countries citing papers authored by David S. Greenberg
This map shows the geographic impact of David S. Greenberg'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 S. Greenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Greenberg more than expected).
Fields of papers citing papers by David S. Greenberg
This network shows the impact of papers produced by David S. Greenberg. 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 S. Greenberg. The network helps show where David S. Greenberg may publish in the future.
Co-authorship network of co-authors of David S. Greenberg
This figure shows the co-authorship network connecting the top 25 collaborators of David S. Greenberg. A scholar is included among the top collaborators of David S. Greenberg 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 S. Greenberg. David S. Greenberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 121 | |
| 8 | 307 | |
| 9 | 194 | |
| 10 | 351 | |
| 11 | 57 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | Beyond Islands: Runs in clone-probe matrices | 2 |
| 15 | 27 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | Choice coordination with multiple alternatives | 1 |
| 19 | 9 | |
| 20 | 4 |
About David S. Greenberg
David S. Greenberg is a scholar working on Hardware and Architecture, Computer Networks and Communications and Biophysics, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (10 papers), Interconnection Networks and Systems (9 papers) and Neural dynamics and brain function (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (990 citations), Cognitive Neuroscience (1.0k citations) and Biophysics (292 citations). David S. Greenberg has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Jason N. D. Kerr, Fritjof Helmchen, Arthur R. Houweling, Damian J. Wallace, J Sawiński, Giuseppe Notaro, Christiaan P. J. de Kock, Bert Sakmann, Randy M. Bruno and Winfried Denk. 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.