Kevin Ponto

95 total papers · 1.1k total citations
64 papers, 669 citations indexed

About

Kevin Ponto is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Kevin Ponto has authored 64 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 25 papers in Human-Computer Interaction and 10 papers in Cognitive Neuroscience. Recurrent topics in Kevin Ponto's work include Virtual Reality Applications and Impacts (19 papers), Computer Graphics and Visualization Techniques (10 papers) and Interactive and Immersive Displays (9 papers). Kevin Ponto is often cited by papers focused on Virtual Reality Applications and Impacts (19 papers), Computer Graphics and Visualization Techniques (10 papers) and Interactive and Immersive Displays (9 papers). Kevin Ponto collaborates with scholars based in United States, South Korea and Netherlands. Kevin Ponto's co-authors include Jung–hye Shin, Robert G. Radwin, Falko Kuester, Karen Chen, Michael Gleicher, Mary E. Sesto, Gail Casper, Simon S. Smith, Andrea H. Mason and Hyun Joon Shin and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Gerontologist and Human Factors The Journal of the Human Factors and Ergonomics Society.

In The Last Decade

Kevin Ponto

56 papers receiving 637 citations

Author Peers

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

Author						Papers	Cites
Kevin Ponto	331	185	123	111	91	64	669
Guillaume Moreau	298 0.9×	171 0.9×	91 0.7×	85 0.8×	71 0.8×	60	608
Émilie Loup‐Escande	417 1.3×	152 0.8×	51 0.4×	65 0.6×	112 1.2×	39	770
Konstantinos Papangelis	263 0.8×	139 0.8×	26 0.2×	59 0.5×	100 1.1×	52	586
S. Joy Mountford	332 1.0×	235 1.3×	14 0.1×	161 1.5×	95 1.0×	21	780
Margherita Antona	226 0.7×	218 1.2×	16 0.1×	129 1.2×	67 0.7×	100	787
Carlos Bermejo	316 1.0×	314 1.7×	19 0.2×	84 0.8×	65 0.7×	26	747
Scott Davidoff	359 1.1×	216 1.2×	21 0.2×	30 0.3×	62 0.7×	25	620
Peter Scupelli	298 0.9×	173 0.9×	11 0.1×	85 0.8×	42 0.5×	40	553
Daniel Saakes	317 1.0×	192 1.0×	28 0.2×	110 1.0×	23 0.3×	61	679
Ross Brown	189 0.6×	256 1.4×	12 0.1×	51 0.5×	76 0.8×	82	790

Countries citing papers authored by Kevin Ponto

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Ponto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Ponto

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