Ziv M. Williams
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 1%
- Neurology top 1%
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Co-authors
- Emad N. EskandarG. Rees CosgroveGeorge BushRamin AmirnovinScott L. RauchSteven A. McCarrollSung Min YangPaola Arlotta
- Topics
- Neural dynamics and brain function (38 papers)Neuroscience and Neural Engineering (23 papers)Neurological disorders and treatments (20 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ziv M. Williams
88 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Cognitive Neuroscience 2.1k
- Cellular and Molecular Neuroscience 1.3k
- Neurology 841
- Molecular Biology 775
- Biomedical Engineering 400
Countries citing papers authored by Ziv M. Williams
This map shows the geographic impact of Ziv M. Williams'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 Ziv M. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziv M. Williams more than expected).
Fields of papers citing papers by Ziv M. Williams
This network shows the impact of papers produced by Ziv M. Williams. 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 Ziv M. Williams. The network helps show where Ziv M. Williams may publish in the future.
Co-authorship network of co-authors of Ziv M. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Ziv M. Williams. A scholar is included among the top collaborators of Ziv M. Williams 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 Ziv M. Williams. Ziv M. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 23 | |
| 5 | 19 | |
| 6 | 4 | |
| 7 | Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortexbreakdown → | 137 |
| 8 | 41 | |
| 9 | 56 | |
| 10 | 19 | |
| 11 | 4 | |
| 12 | 19 | |
| 13 | 164 | |
| 14 | 16 | |
| 15 | 12 | |
| 16 | 23 | |
| 17 | 67 | |
| 18 | 10 | |
| 19 | 10 | |
| 20 | 30 |
About Ziv M. Williams
Ziv M. Williams is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 93 papers that have together received 4.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (38 papers), Neuroscience and Neural Engineering (23 papers) and Neurological disorders and treatments (20 papers). The work is most often cited by research in Cognitive Neuroscience (2.1k citations), Cellular and Molecular Neuroscience (1.3k citations) and Developmental Neuroscience (238 citations). Ziv M. Williams has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Emad N. Eskandar, G. Rees Cosgrove, George Bush, Ramin Amirnovin, Scott L. Rauch, Steven A. McCarroll, Sung Min Yang, Paola Arlotta, Tuan Nguyen and Daniel R. Berger. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.