Philip P. Vu

31 total papers · 960 total citations
20 papers, 575 citations indexed

About

Philip P. Vu is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Philip P. Vu has authored 20 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 15 papers in Biomedical Engineering and 11 papers in Cognitive Neuroscience. Recurrent topics in Philip P. Vu's work include Neuroscience and Neural Engineering (17 papers), Muscle activation and electromyography studies (14 papers) and EEG and Brain-Computer Interfaces (11 papers). Philip P. Vu is often cited by papers focused on Neuroscience and Neural Engineering (17 papers), Muscle activation and electromyography studies (14 papers) and EEG and Brain-Computer Interfaces (11 papers). Philip P. Vu collaborates with scholars based in United States, Switzerland and Sweden. Philip P. Vu's co-authors include Cynthia A. Chestek, Paul S. Cederna, Alex K. Vaskov, Zachary T. Irwin, Chrono S. Nu, Autumn J. Bullard, Deanna H. Gates, Theodore A. Kung, Stephen W.P. Kemp and Alicia J. Davis and has published in prestigious journals such as Scientific Reports, Science Translational Medicine and IEEE Transactions on Robotics.

In The Last Decade

Philip P. Vu

18 papers receiving 566 citations

Author Peers

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

Author						Papers	Cites
Philip P. Vu	418	353	256	75	60	20	575
Brent Winslow	330 0.8×	164 0.5×	192 0.8×	83 1.1×	34 0.6×	18	607
Natalia Pavlova	312 0.7×	285 0.8×	155 0.6×	61 0.8×	57 0.9×	34	616
Hyunjung Lee	476 1.1×	106 0.3×	215 0.8×	83 1.1×	36 0.6×	14	626
Dennis Bourbeau	263 0.6×	189 0.5×	117 0.5×	66 0.9×	101 1.7×	41	608
Jeongmoon J. Choi	142 0.3×	411 1.2×	98 0.4×	86 1.1×	32 0.5×	14	692
Paolo Ariano	208 0.5×	332 0.9×	143 0.6×	121 1.6×	14 0.2×	42	670
Tongyi Chen	234 0.6×	210 0.6×	70 0.3×	49 0.7×	150 2.5×	32	533
Madhumitha Ravikumar	234 0.6×	74 0.2×	132 0.5×	42 0.6×	39 0.7×	12	518
Rongyu Tang	227 0.5×	332 0.9×	156 0.6×	112 1.5×	102 1.7×	52	684
Beatrice Barra	258 0.6×	206 0.6×	174 0.7×	62 0.8×	65 1.1×	13	511

Countries citing papers authored by Philip P. Vu

Since Specialization

Citations

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

Fields of papers citing papers by Philip P. Vu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip P. Vu. 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 Philip P. Vu. The network helps show where Philip P. Vu may publish in the future.

Co-authorship network of co-authors of Philip P. Vu

This figure shows the co-authorship network connecting the top 25 collaborators of Philip P. Vu. A scholar is included among the top collaborators of Philip P. Vu 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 Philip P. Vu. Philip P. Vu 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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