Yoav Kfir
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
-
- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
-
- Neural dynamics and brain function 5
- EEG and Brain-Computer Interfaces 2
- Memory and Neural Mechanisms 1
- Neuroscience and Music Perception 1
- Neural and Behavioral Psychology Studies 1
-
- Neurobiology and Insect Physiology Research 1
- Neuroscience and Neural Engineering 1
- Co-authors
- Angelique C. Paulk (3 shared papers)Ziv M. Williams (3 shared papers)Sydney S. Cash (3 shared papers)Arjun Khanna (2 shared papers)Martina L. Mustroph (2 shared papers)Hagar Gelbard-Sagiv (1 shared paper)B. Dutta (1 shared paper)Itzhak Fried (1 shared paper)
- Journals
- Nature (1 paper)Cell (1 paper)PLoS ONE (1 paper)Nature Neuroscience (1 paper)PubMed (1 paper)
- Partner nations
- United StatesIsraelBelgium
In The Last Decade
Yoav Kfir
5 papers receiving 209 citations
Yoav Kfir's Hit Papers
Peers
Comparison fields: 5 of 51
- Cognitive Neuroscience 158
- Cellular and Molecular Neuroscience 107
- Biophysics 11
- Neurology 8
- Developmental Biology 2
Countries citing papers authored by Yoav Kfir
This map shows the geographic impact of Yoav Kfir'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 Yoav Kfir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoav Kfir more than expected).
Fields of papers citing papers by Yoav Kfir
This network shows the impact of papers produced by Yoav Kfir. 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 Yoav Kfir. The network helps show where Yoav Kfir may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoav Kfir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex Hit paper breakdown → | 2022 | 137 |
| 2 | 2019 | 48 | |
| 3 | 2024 | 23 | |
| 4 | 2023 | 4 | |
| 5 | 2012 | 1 |
About Yoav Kfir
Yoav Kfir is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Signal Processing, Developmental and Educational Psychology and Infectious Diseases, having authored 5 papers that have together received 213 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), EEG and Brain-Computer Interfaces (2 papers), Memory and Neural Mechanisms (1 paper), Neurobiology and Insect Physiology Research (1 paper), Blind Source Separation Techniques (1 paper), Neuroscience and Music Perception (1 paper), Neuroscience and Neural Engineering (1 paper) and Neural and Behavioral Psychology Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (158 citations), Cellular and Molecular Neuroscience (107 citations), Biophysics (11 citations), Neurology (8 citations) and Developmental Biology (2 citations). Yoav Kfir has collaborated with scholars based in United States, Israel and Belgium. Frequent co-authors include Angelique C. Paulk, Ziv M. Williams, Sydney S. Cash, Arjun Khanna, Martina L. Mustroph, Hagar Gelbard-Sagiv, B. Dutta, Itzhak Fried, Eric M. Trautmann and Sergey D. Stavisky. Their work appears in journals such as Nature, Cell, PLoS ONE, Nature Neuroscience and PubMed.
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.