Dan Maynes-Aminzade

12 total papers · 660 total citations
10 papers, 433 citations indexed

About

Dan Maynes-Aminzade is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Dan Maynes-Aminzade has authored 10 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Human-Computer Interaction and 2 papers in Cognitive Neuroscience. Recurrent topics in Dan Maynes-Aminzade's work include Augmented Reality Applications (6 papers), Interactive and Immersive Displays (6 papers) and Tactile and Sensory Interactions (2 papers). Dan Maynes-Aminzade is often cited by papers focused on Augmented Reality Applications (6 papers), Interactive and Immersive Displays (6 papers) and Tactile and Sensory Interactions (2 papers). Dan Maynes-Aminzade collaborates with scholars based in United States and Japan. Dan Maynes-Aminzade's co-authors include Gian Pangaro, Hiroshi Ishii, Randy Pausch, Steve Seitz, Daniel Billsus, Terry Winograd, Takeo Igarashi, David M. Hilbert, Paul Dietz and Johnny C. Lee and has published in prestigious journals such as ACM Transactions on Graphics.

In The Last Decade

Dan Maynes-Aminzade

10 papers receiving 397 citations

Author Peers

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

Author Last Decade Papers Cites
Dan Maynes-Aminzade 293 207 161 58 41 10 433
Jeff Pierce 299 1.0× 170 0.8× 169 1.0× 22 0.4× 31 0.8× 6 451
Andy Wilson 409 1.4× 246 1.2× 181 1.1× 22 0.4× 27 0.7× 10 472
David Merrill 248 0.8× 186 0.9× 151 0.9× 28 0.5× 18 0.4× 16 372
Rose Johnson 280 1.0× 144 0.7× 150 0.9× 32 0.6× 35 0.9× 15 492
Te-Yen Wu 339 1.2× 108 0.5× 226 1.4× 27 0.5× 16 0.4× 29 457
C. Schmandt 217 0.7× 181 0.9× 87 0.5× 28 0.5× 24 0.6× 27 442
Craig Barnes 288 1.0× 193 0.9× 36 0.2× 32 0.6× 42 1.0× 7 482
Gabriel Reyes 262 0.9× 119 0.6× 156 1.0× 16 0.3× 14 0.3× 23 410
Brian D. Hall 306 1.0× 299 1.4× 39 0.2× 16 0.3× 28 0.7× 8 486
A. Chris Long 293 1.0× 159 0.8× 171 1.1× 22 0.4× 55 1.3× 12 419

Countries citing papers authored by Dan Maynes-Aminzade

Since Specialization
Citations

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

Fields of papers citing papers by Dan Maynes-Aminzade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Maynes-Aminzade. 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 Dan Maynes-Aminzade. The network helps show where Dan Maynes-Aminzade may publish in the future.

Co-authorship network of co-authors of Dan Maynes-Aminzade

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Maynes-Aminzade. A scholar is included among the top collaborators of Dan Maynes-Aminzade 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 Dan Maynes-Aminzade. Dan Maynes-Aminzade 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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