Ziv M. Williams

6.7k citations
93 papers · 4.1k indexed · 2 hit papers · h-index 30
Topics
Neural dynamics and brain function (38 papers)Neuroscience and Neural Engineering (23 papers)Neurological disorders and treatments (20 papers)

In The Last Decade

Ziv M. Williams

88 papers receiving 4.0k citations

Hit Papers

Cell diversity and network dynamics in photosensitive hum...201720262020202320172022250500750

Peers

Ziv M. Williams
Comparison fields: 5 of 153
  • Cognitive Neuroscience 2.1k
  • Cellular and Molecular Neuroscience 1.3k
  • Neurology 841
  • Molecular Biology 775
  • Biomedical Engineering 400
Replace Adam N. Mamelak with:
Adam N. Mamelak United States
Takuya Hayashi Japan
Noritaka Ichinohe Japan
Sameer A. Sheth United States
Kadharbatcha S. Saleem United States
Kareem A. Zaghloul United States
Hajime Mushiake Japan
Kevin T. Beier United States
Emad N. Eskandar United States
H. Troy Ghashghaei United States
Ziv M. Williams relative to Adam N. Mamelak United States Adam N. Mamelak's profile →
Citations per field
00.5×1.5×
Adam N. Mamelak · 1×
Citations per year

Countries citing papers authored by Ziv M. Williams

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
#WorkIndexed 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.

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