Shaul Druckmann
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 1%
- Electrical and Electronic Engineering top 10%
- Molecular Biology
- Genetics top 10%
- Co-authors
- Karel SvobodaKayvon DaieNuo LiVivek JayaramanHervé RouaultDmitri B. ChklovskiiH. InagakiSung Soo Kim
- Topics
- Neural dynamics and brain function (25 papers)Neuroscience and Neural Engineering (11 papers)Advanced Memory and Neural Computing (9 papers)
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Shaul Druckmann
40 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Cognitive Neuroscience 1.8k
- Cellular and Molecular Neuroscience 1.5k
- Electrical and Electronic Engineering 354
- Molecular Biology 256
- Genetics 214
Countries citing papers authored by Shaul Druckmann
This map shows the geographic impact of Shaul Druckmann'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 Shaul Druckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaul Druckmann more than expected).
Fields of papers citing papers by Shaul Druckmann
This network shows the impact of papers produced by Shaul Druckmann. 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 Shaul Druckmann. The network helps show where Shaul Druckmann may publish in the future.
Co-authorship network of co-authors of Shaul Druckmann
This figure shows the co-authorship network connecting the top 25 collaborators of Shaul Druckmann. A scholar is included among the top collaborators of Shaul Druckmann 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 Shaul Druckmann. Shaul Druckmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 18 | |
| 5 | A high-performance speech neuroprosthesisbreakdown → | 217 |
| 6 | 19 | |
| 7 | 46 | |
| 8 | 12 | |
| 9 | 60 | |
| 10 | 98 | |
| 11 | 101 | |
| 12 | 63 | |
| 13 | 15 | |
| 14 | 18 | |
| 15 | 57 | |
| 16 | Maintenance of persistent activity in a frontal thalamocortical loopbreakdown → | 325 |
| 17 | 297 | |
| 18 | A mechanistic model of early sensory processing based on subtracting sparse representations | 10 |
| 19 | 38 | |
| 20 | Over-complete representations on recurrent neural networks can support persistent percepts | 9 |
About Shaul Druckmann
Shaul Druckmann is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 43 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (25 papers), Neuroscience and Neural Engineering (11 papers) and Advanced Memory and Neural Computing (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Cellular and Molecular Neuroscience (1.5k citations) and Biophysics (177 citations). Shaul Druckmann has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Karel Svoboda, Kayvon Daie, Nuo Li, Vivek Jayaraman, Hervé Rouault, Dmitri B. Chklovskii, H. Inagaki, Sung Soo Kim, Zengcai V. Guo and Charles R. Gerfen. Their work appears in journals such as Nature, Science and Cell.
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.