Evan A. Suma

85 total papers · 3.6k total citations
71 papers, 2.5k citations indexed

About

Evan A. Suma is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Evan A. Suma has authored 71 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Human-Computer Interaction, 34 papers in Computer Vision and Pattern Recognition and 14 papers in Cognitive Neuroscience. Recurrent topics in Evan A. Suma's work include Virtual Reality Applications and Impacts (37 papers), Human Motion and Animation (12 papers) and Augmented Reality Applications (11 papers). Evan A. Suma is often cited by papers focused on Virtual Reality Applications and Impacts (37 papers), Human Motion and Animation (12 papers) and Augmented Reality Applications (11 papers). Evan A. Suma collaborates with scholars based in United States, Austria and Germany. Evan A. Suma's co-authors include Mark Bolas, David M. Krum, Samantha Finkelstein, Belinda Lange, Mahdi Azmandian, Timofey Grechkin, Albert Rizzo, Chien‐Yen Chang, Brett Newman and Larry F. Hodges and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, International Journal of Human-Computer Studies and Disability and Rehabilitation.

In The Last Decade

Evan A. Suma

67 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
Evan A. Suma 1.5k 896 634 344 318 71 2.5k
Mark Bolas 2.0k 1.3× 1.6k 1.8× 776 1.2× 314 0.9× 302 0.9× 122 3.5k
Holger Regenbrecht 2.8k 1.8× 1.6k 1.8× 790 1.2× 142 0.4× 247 0.8× 128 4.1k
Gerard Jounghyun Kim 1.5k 1.0× 923 1.0× 649 1.0× 64 0.2× 296 0.9× 174 2.6k
Norman E. Lane 2.6k 1.7× 703 0.8× 1.1k 1.7× 188 0.5× 216 0.7× 23 4.3k
Stefania Serafin 1.9k 1.2× 1.5k 1.6× 1.7k 2.6× 203 0.6× 115 0.4× 277 3.8k
Kay M. Stanney 2.3k 1.5× 625 0.7× 974 1.5× 95 0.3× 137 0.4× 88 3.5k
Michael G. Lilienthal 2.8k 1.8× 730 0.8× 1.2k 1.8× 187 0.5× 232 0.7× 19 4.3k
Thomas A. Furness 1.7k 1.1× 562 0.6× 898 1.4× 61 0.2× 114 0.4× 62 3.0k
Henry Been‐Lirn Duh 1.7k 1.1× 1.5k 1.7× 417 0.7× 135 0.4× 65 0.2× 122 3.5k
Mar González-Franco 2.0k 1.3× 589 0.7× 1.2k 1.9× 75 0.2× 97 0.3× 78 2.7k

Countries citing papers authored by Evan A. Suma

Since Specialization
Citations

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

Fields of papers citing papers by Evan A. Suma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evan A. Suma

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