M. Pavel

103 total papers · 1.3k total citations
35 papers, 694 citations indexed

About

M. Pavel is a scholar working on Astronomy and Astrophysics, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Pavel has authored 35 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Astronomy and Astrophysics, 9 papers in Cognitive Neuroscience and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Pavel's work include Stellar, planetary, and galactic studies (11 papers), Context-Aware Activity Recognition Systems (7 papers) and EEG and Brain-Computer Interfaces (6 papers). M. Pavel is often cited by papers focused on Stellar, planetary, and galactic studies (11 papers), Context-Aware Activity Recognition Systems (7 papers) and EEG and Brain-Computer Interfaces (6 papers). M. Pavel collaborates with scholars based in United States, South Korea and Brazil. M. Pavel's co-authors include Jeffrey Kaye, Tamara Hayes, Daniel Austin, Stuart Hagler, Nora Mattek, D. P. Clemens, Hiroko H. Dodge, André Adami, Lü Tian and Santosh Mathan and has published in prestigious journals such as The Astrophysical Journal, The Journal of the Acoustical Society of America and IEEE Transactions on Biomedical Engineering.

In The Last Decade

M. Pavel

34 papers receiving 663 citations

Author Peers

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

Author Last Decade Papers Cites
M. Pavel 202 157 128 122 111 35 694
Lorcan Walsh 137 0.7× 117 0.7× 63 0.5× 224 1.8× 12 0.1× 40 770
Leonardo Angelini 86 0.4× 14 0.1× 118 0.9× 12 0.1× 37 0.3× 71 699
Zachary Beattie 108 0.5× 128 0.8× 148 1.2× 47 0.4× 65 628
Tracy Zitzelberger 176 0.9× 233 1.5× 72 0.6× 50 0.4× 11 574
Rafael Izbicki 37 0.2× 121 0.8× 44 0.3× 5 0.0× 47 0.4× 58 791
Fahd Albinali 201 1.0× 45 0.3× 151 1.2× 37 0.3× 23 757
Takuya Sonoda 34 0.2× 62 0.4× 11 0.1× 97 0.8× 34 0.3× 28 757
Roger Orpwood 149 0.7× 210 1.3× 71 0.6× 7 0.1× 3 0.0× 41 688
Y. Higashi 127 0.6× 90 0.6× 43 0.3× 122 1.0× 39 584
Alyssa Weakley 120 0.6× 353 2.2× 168 1.3× 11 0.1× 28 640

Countries citing papers authored by M. Pavel

Since Specialization
Citations

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

Fields of papers citing papers by M. Pavel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Pavel

This figure shows the co-authorship network connecting the top 25 collaborators of M. Pavel. A scholar is included among the top collaborators of M. Pavel 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 M. Pavel. M. Pavel 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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