Ted Selker

38 papers and 619 indexed citations i.

About

Ted Selker is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Ted Selker has authored 38 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Human-Computer Interaction. Recurrent topics in Ted Selker’s work include Gaze Tracking and Assistive Technology (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Data Visualization and Analytics (5 papers). Ted Selker is often cited by papers focused on Gaze Tracking and Assistive Technology (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and Data Visualization and Analytics (5 papers). Ted Selker collaborates with scholars based in United States, Canada and Australia. Ted Selker's co-authors include Henry Lieberman, Bowen Alpern, Ephraim Feig, Wendy Ark, Hugo Liu, Pamela Jennings, Ben Shneiderman, Gerhard Fischer, Mike Eisenberg and Tom Hewett and has published in prestigious journals such as Science, Communications of the ACM and Scientific American.

In The Last Decade

Co-authorship network of co-authors of Ted Selker i

Fields of papers citing papers by Ted Selker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ted Selker

Since Specialization
Citations

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

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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