Vasile V. Moca

33 total papers · 652 total citations
23 papers, 375 citations indexed

About

Vasile V. Moca is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vasile V. Moca has authored 23 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vasile V. Moca's work include Neural dynamics and brain function (16 papers), Neuroscience and Neural Engineering (7 papers) and EEG and Brain-Computer Interfaces (5 papers). Vasile V. Moca is often cited by papers focused on Neural dynamics and brain function (16 papers), Neuroscience and Neural Engineering (7 papers) and EEG and Brain-Computer Interfaces (5 papers). Vasile V. Moca collaborates with scholars based in Romania, Germany and United States. Vasile V. Moca's co-authors include Raul C. Mureșan, Wolf Singer, Danko Nikolić, Ovidiu F. Jurjuţ, Lucía Melloni, Mária Ercsey-Ravasz, M Daunderer, Gordon Pipa, Bertram Scheller and Rodica Potolea and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Vasile V. Moca

19 papers receiving 373 citations

Author Peers

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

Author						Papers	Cites
Vasile V. Moca	223	131	33	29	23	23	375
А. А. Овчинников	250 1.1×	68 0.5×	70 2.1×	22 0.8×	36 1.6×	14	405
Jong W. Lee	186 0.8×	100 0.8×	38 1.2×	24 0.8×	7 0.3×	17	432
Max Sagebaum	215 1.0×	70 0.5×	13 0.4×	17 0.6×	19 0.8×	17	431
V.Z. Marmarelis	90 0.4×	58 0.4×	19 0.6×	29 1.0×	24 1.0×	22	392
Kaushik Majumdar	268 1.2×	65 0.5×	16 0.5×	22 0.8×	76 3.3×	30	392
Arian Ashourvan	300 1.3×	81 0.6×	57 1.7×	25 0.9×	19 0.8×	18	419
George Petkov	332 1.5×	93 0.7×	21 0.6×	25 0.9×	12 0.5×	26	389
David C. Tam	195 0.9×	89 0.7×	19 0.6×	36 1.2×	24 1.0×	50	358
Wenwen Chang	243 1.1×	31 0.2×	12 0.4×	23 0.8×	26 1.1×	42	349
Petr Maršálek	308 1.4×	105 0.8×	69 2.1×	17 0.6×	13 0.6×	27	399

Countries citing papers authored by Vasile V. Moca

Since Specialization

Citations

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

Fields of papers citing papers by Vasile V. Moca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vasile V. Moca. 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 Vasile V. Moca. The network helps show where Vasile V. Moca may publish in the future.

Co-authorship network of co-authors of Vasile V. Moca

This figure shows the co-authorship network connecting the top 25 collaborators of Vasile V. Moca. A scholar is included among the top collaborators of Vasile V. Moca 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 Vasile V. Moca. Vasile V. Moca 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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