Eran Privman
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Visual perception and processing mechanisms
- Ecology top 5%
- Microbial Community Ecology and Physiology
Papers in
-
- Neural dynamics and brain function 6
- EEG and Brain-Computer Interfaces 3
- Functional Brain Connectivity Studies 2
- Face Recognition and Perception 2
- Visual perception and processing mechanisms 1
- Co-authors
- O.C.K.M. PennDan GraurGiddy LandanTal PupkoHaim AshkenazyRafael MalachFani AndelmanSvetlana Kipervasser
- Journals
- Cerebral Cortex (1 paper)Journal of Neuroscience (1 paper)Molecular Biology and Evolution (1 paper)Frontiers in Human Neuroscience (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Eran Privman
7 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 665
- Ecology 290
- Environmental Chemistry 101
- Ecology, Evolution, Behavior and Systematics 192
- Cellular and Molecular Neuroscience 123
Countries citing papers authored by Eran Privman
This map shows the geographic impact of Eran Privman'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 Eran Privman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eran Privman more than expected).
Fields of papers citing papers by Eran Privman
This network shows the impact of papers produced by Eran Privman. 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 Eran Privman. The network helps show where Eran Privman may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Eran Privman, 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 | 2013 | 7 | |
| 2 | 2011 | 1 | |
| 3 | 2010 | 279 | |
| 4 | 2010 | 37 | |
| 5 | GUIDANCE: a web server for assessing alignment confidence scores Hit paper breakdown → | 2010 | 537 |
| 6 | 2009 | 202 | |
| 7 | 2008 | 380 | |
| 8 | 2007 | 55 |
About Eran Privman
Eran Privman is a scholar working on Cognitive Neuroscience, Signal Processing, Cellular and Molecular Neuroscience, Genetics and Artificial Intelligence, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), EEG and Brain-Computer Interfaces (3 papers), Functional Brain Connectivity Studies (2 papers), Face Recognition and Perception (2 papers), Genomics and Phylogenetic Studies (2 papers), Genetic diversity and population structure (1 paper), Visual perception and processing mechanisms (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Cognitive Neuroscience (665 citations), Ecology (290 citations), Environmental Chemistry (101 citations), Ecology, Evolution, Behavior and Systematics (192 citations) and Cellular and Molecular Neuroscience (123 citations). Eran Privman has collaborated with scholars based in Israel and United States. Frequent co-authors include O.C.K.M. Penn, Dan Graur, Giddy Landan, Tal Pupko, Haim Ashkenazy, Rafael Malach, Fani Andelman, Svetlana Kipervasser, Uri Kramer and Itzhak Fried. Their work appears in journals such as Cerebral Cortex, Journal of Neuroscience, Molecular Biology and Evolution, Frontiers in Human Neuroscience and Nature Neuroscience.
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.