Dereck Toker
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Sociology and Political Science
- Co-authors
- Cristina ConatiGiuseppe CareniniBen SteichenSébastien LalléEnamul HoqueJames T. EnnsKaron E. MacLeanOliver Schneider
- Topics
- Data Visualization and Analytics (16 papers)Gaze Tracking and Assistive Technology (8 papers)Advanced Text Analysis Techniques (7 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComputer Science Applications
In The Last Decade
Dereck Toker
18 papers receiving 441 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 305
- Human-Computer Interaction 159
- Artificial Intelligence 158
- Experimental and Cognitive Psychology 90
- Sociology and Political Science 66
Countries citing papers authored by Dereck Toker
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 28 | |
| 3 | 14 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 30 | |
| 7 | 11 | |
| 8 | 15 | |
| 9 | 18 | |
| 10 | 6 | |
| 11 | 30 | |
| 12 | 28 | |
| 13 | 17 | |
| 14 | 52 | |
| 15 | 61 | |
| 16 | It's alive!: exploring the design space of a gesturing phone | 14 |
| 17 | When to Adapt: Detecting User's Confusion During Visualization Processing. | 10 |
| 18 | 97 |
About Dereck Toker
Dereck Toker is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 18 papers that have together received 451 indexed citations. Recurring topics across this work include Data Visualization and Analytics (16 papers), Gaze Tracking and Assistive Technology (8 papers) and Advanced Text Analysis Techniques (7 papers). The work is most often cited by research in Human-Computer Interaction (159 citations), Computer Vision and Pattern Recognition (305 citations) and Computer Science Applications (39 citations). Dereck Toker has collaborated with scholars based in Canada, Slovakia and Israel. Frequent 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. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and User Modeling and User-Adapted Interaction.
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.