Stephen A. Mascaro

86 total papers · 985 total citations
70 papers, 773 citations indexed

About

Stephen A. Mascaro is a scholar working on Biomedical Engineering, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Stephen A. Mascaro has authored 70 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Biomedical Engineering, 25 papers in Human-Computer Interaction and 21 papers in Cognitive Neuroscience. Recurrent topics in Stephen A. Mascaro's work include Hand Gesture Recognition Systems (23 papers), Tactile and Sensory Interactions (19 papers) and Robot Manipulation and Learning (18 papers). Stephen A. Mascaro is often cited by papers focused on Hand Gesture Recognition Systems (23 papers), Tactile and Sensory Interactions (19 papers) and Robot Manipulation and Learning (18 papers). Stephen A. Mascaro collaborates with scholars based in United States and Jordan. Stephen A. Mascaro's co-authors include H. Harry Asada, John M. Hollerbach, Yu Sun, Yu Sun, J. S. Spano, Jumana Abu-Khalaf, Yu Sun, Kyu‐Jin Cho, David E. Johnson and Jung‐Woo Park and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Robotics and Automation and IEEE Transactions on Robotics.

In The Last Decade

Stephen A. Mascaro

70 papers receiving 734 citations

Author Peers

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

Author Last Decade Papers Cites
Stephen A. Mascaro 425 300 294 188 105 70 773
Huijun Li 168 0.4× 190 0.6× 332 1.1× 212 1.1× 63 0.6× 66 884
Shaolong Kuang 304 0.7× 70 0.2× 256 0.9× 70 0.4× 47 0.4× 64 705
Weichao Guo 609 1.4× 215 0.7× 314 1.1× 72 0.4× 41 0.4× 46 892
Gang Li 153 0.4× 190 0.6× 293 1.0× 68 0.4× 34 0.3× 56 892
Soo‐Chul Lim 405 1.0× 164 0.5× 291 1.0× 123 0.7× 22 0.2× 39 716
Changcheng Wu 250 0.6× 149 0.5× 336 1.1× 53 0.3× 43 0.4× 67 792
Hideyuki Sawada 172 0.4× 173 0.6× 202 0.7× 327 1.7× 25 0.2× 125 887
Alain Pruski 437 1.0× 167 0.6× 163 0.6× 92 0.5× 24 0.2× 59 910
Tapomayukh Bhattacharjee 311 0.7× 135 0.5× 296 1.0× 360 1.9× 9 0.1× 60 869
Rahul Chaudhari 282 0.7× 143 0.5× 189 0.6× 49 0.3× 87 0.8× 35 751

Countries citing papers authored by Stephen A. Mascaro

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. Mascaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen A. Mascaro. 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 Stephen A. Mascaro. The network helps show where Stephen A. Mascaro may publish in the future.

Co-authorship network of co-authors of Stephen A. Mascaro

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