Dereck Toker

25 total papers · 825 total citations
18 papers, 446 citations indexed

About

Dereck Toker is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Dereck Toker has authored 18 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 10 papers in Human-Computer Interaction. Recurrent topics in Dereck Toker's work include Data Visualization and Analytics (16 papers), Gaze Tracking and Assistive Technology (8 papers) and Advanced Text Analysis Techniques (7 papers). Dereck Toker is often cited by papers focused on Data Visualization and Analytics (16 papers), Gaze Tracking and Assistive Technology (8 papers) and Advanced Text Analysis Techniques (7 papers). Dereck Toker collaborates with scholars based in Canada, Slovakia and Israel. Dereck Toker's co-authors include Cristina Conati, Giuseppe Carenini, Ben Steichen, Sébastien Lallé, Enamul Hoque, James T. Enns, Karon E. MacLean, Oliver Schneider, Joel Lanir and Tsvi Kuflik and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and User Modeling and User-Adapted Interaction.

In The Last Decade

Dereck Toker

18 papers receiving 435 citations

Author Peers

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

Author Last Decade Papers Cites
Dereck Toker 302 159 156 89 66 18 446
Minsuk Chang 115 0.4× 118 0.7× 177 1.1× 31 0.3× 58 0.9× 28 459
John Joon Young Chung 91 0.3× 108 0.7× 136 0.9× 34 0.4× 60 0.9× 25 388
Andrew M. Webb 107 0.4× 153 1.0× 41 0.3× 79 0.9× 77 1.2× 37 375
Tod Machover 120 0.4× 75 0.5× 97 0.6× 62 0.7× 24 0.4× 14 406
Michael G. Lamming 277 0.9× 171 1.1× 57 0.4× 22 0.2× 45 0.7× 9 495
Alessandro Cappelletti 91 0.3× 68 0.4× 122 0.8× 105 1.2× 40 0.6× 19 423
Lindsay MacDonald 102 0.3× 198 1.2× 36 0.2× 103 1.2× 28 0.4× 25 415
Pei-Yu Chi 195 0.6× 203 1.3× 70 0.4× 17 0.2× 76 1.2× 19 476
Kevin Mullet 99 0.3× 191 1.2× 59 0.4× 37 0.4× 64 1.0× 14 389
Ina Wechsung 81 0.3× 168 1.1× 92 0.6× 33 0.4× 93 1.4× 44 435

Countries citing papers authored by Dereck Toker

Since Specialization
Citations

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

Fields of papers citing papers by Dereck Toker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dereck Toker

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