Val Nenov

26 total papers · 2.0k total citations
18 papers, 1.3k citations indexed

About

Val Nenov is a scholar working on Cognitive Neuroscience, Neurology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Val Nenov has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Neurology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Val Nenov's work include Traumatic Brain Injury and Neurovascular Disturbances (5 papers), EEG and Brain-Computer Interfaces (3 papers) and Functional Brain Connectivity Studies (3 papers). Val Nenov is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (5 papers), EEG and Brain-Computer Interfaces (3 papers) and Functional Brain Connectivity Studies (3 papers). Val Nenov collaborates with scholars based in United States, Switzerland and United Kingdom. Val Nenov's co-authors include Paul Vespa, Reza Jahan, Jeffrey Gornbein, Judy Guzy, Chelsea S. Kidwell, Jeffrey L. Saver, Sidney Starkman, Jeffry R. Alger, Max Wintermark and Dileep R. Yavagal and has published in prestigious journals such as New England Journal of Medicine, Brain Research and Critical Care Medicine.

In The Last Decade

Val Nenov

18 papers receiving 1.3k citations

Hit Papers

A Trial of Imaging Select... 2013 2026 2017 2021 2013 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Val Nenov 948 575 447 363 243 18 1.3k
Philippe Niclot 859 0.9× 438 0.8× 513 1.1× 471 1.3× 203 0.8× 19 1.5k
James L. Frey 1.0k 1.1× 681 1.2× 612 1.4× 297 0.8× 324 1.3× 34 1.5k
Thomas Devlin 940 1.0× 627 1.1× 469 1.0× 327 0.9× 283 1.2× 38 1.6k
María Hernández‐Pérez 825 0.9× 442 0.8× 402 0.9× 297 0.8× 231 1.0× 52 1.1k
Isaac E Silverman 1.2k 1.2× 831 1.4× 655 1.5× 360 1.0× 281 1.2× 22 1.6k
Nandavar Shobha 1.1k 1.2× 626 1.1× 524 1.2× 381 1.0× 302 1.2× 32 1.4k
Samir Belagaje 1.1k 1.2× 595 1.0× 422 0.9× 565 1.6× 403 1.7× 76 1.5k
Michael Frankel 1.0k 1.1× 388 0.7× 449 1.0× 467 1.3× 308 1.3× 21 1.8k
John Fink 1.1k 1.1× 571 1.0× 759 1.7× 265 0.7× 225 0.9× 24 1.6k
Elizabeth A. Noser 788 0.8× 369 0.6× 631 1.4× 604 1.7× 197 0.8× 28 1.3k

Countries citing papers authored by Val Nenov

Since Specialization
Citations

This map shows the geographic impact of Val Nenov'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 Val Nenov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Val Nenov more than expected).

Fields of papers citing papers by Val Nenov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Val Nenov. 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 Val Nenov. The network helps show where Val Nenov may publish in the future.

Co-authorship network of co-authors of Val Nenov

This figure shows the co-authorship network connecting the top 25 collaborators of Val Nenov. A scholar is included among the top collaborators of Val Nenov 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 Val Nenov. Val Nenov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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