T. Todd Elvins

28 total papers · 790 total citations
26 papers, 534 citations indexed

About

T. Todd Elvins is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Information Systems and Management. According to data from OpenAlex, T. Todd Elvins has authored 26 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 papers in Computer Graphics and Computer-Aided Design and 6 papers in Information Systems and Management. Recurrent topics in T. Todd Elvins's work include Computer Graphics and Visualization Techniques (9 papers), Augmented Reality Applications (6 papers) and Data Visualization and Analytics (6 papers). T. Todd Elvins is often cited by papers focused on Computer Graphics and Visualization Techniques (9 papers), Augmented Reality Applications (6 papers) and Data Visualization and Analytics (6 papers). T. Todd Elvins collaborates with scholars based in United States. T. Todd Elvins's co-authors include Thomas R. Nelson, David R. Nadeau, David Kirsh, Ramesh Jain, Rina Schul, Stephen J. Young, Mark H. Ellisman, J. Helly, David Martínez and Kevin Fall and has published in prestigious journals such as Communications of the ACM, Future Generation Computer Systems and IEEE Computer Graphics and Applications.

In The Last Decade

T. Todd Elvins

26 papers receiving 474 citations

Author Peers

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

Author Last Decade Papers Cites
T. Todd Elvins 297 214 118 97 70 26 534
A. James Stewart 257 0.9× 309 1.4× 157 1.3× 38 0.4× 11 0.2× 37 558
Rick Parent 271 0.9× 127 0.6× 122 1.0× 49 0.5× 9 0.1× 24 562
Naty Hoffman 312 1.1× 251 1.2× 138 1.2× 30 0.3× 19 0.3× 14 551
Lawrence Rosenblum 249 0.8× 40 0.2× 20 0.2× 150 1.5× 31 0.4× 20 469
Lisa Avila 292 1.0× 234 1.1× 116 1.0× 57 0.6× 7 0.1× 14 534
Christian Dick 191 0.6× 271 1.3× 288 2.4× 12 0.1× 35 0.5× 19 606
Rafael J. Segura 181 0.6× 141 0.7× 81 0.7× 55 0.6× 17 0.2× 46 554
Joachim Diepstraten 266 0.9× 192 0.9× 73 0.6× 153 1.6× 15 0.2× 15 477
Guyue Zhou 280 0.9× 26 0.1× 48 0.4× 18 0.2× 30 0.4× 61 566
Christoph Bichlmeier 486 1.6× 71 0.3× 27 0.2× 201 2.1× 23 0.3× 19 602

Countries citing papers authored by T. Todd Elvins

Since Specialization
Citations

This map shows the geographic impact of T. Todd Elvins'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 T. Todd Elvins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Todd Elvins more than expected).

Fields of papers citing papers by T. Todd Elvins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Todd Elvins. 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 T. Todd Elvins. The network helps show where T. Todd Elvins may publish in the future.

Co-authorship network of co-authors of T. Todd Elvins

This figure shows the co-authorship network connecting the top 25 collaborators of T. Todd Elvins. A scholar is included among the top collaborators of T. Todd Elvins 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 T. Todd Elvins. T. Todd Elvins 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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