Ted Selker

4.5k citations
124 papers · 3.2k · h-index 29

Impact in

Papers in

Ted Selker

116 papers receiving 2.9k citations

Peers

Ted Selker
Comparison fields: 5 of 116
  • Human-Computer Interaction 1.2k
  • Information Systems and Management 327
  • Computer Vision and Pattern Recognition 787
  • Artificial Intelligence 911
  • Experimental and Cognitive Psychology 327
Replace Heinrich Hußmann with:
Heinrich Hußmann Germany
Ronald M. Baecker Canada
Gheorghiță Ghinea United Kingdom
George Robertson United States
Chris Greenhalgh United Kingdom
Dan R. Olsen United States
Alan F. Blackwell United Kingdom
Clayton Lewis United States
Mark Newman United States
Mark Weiser United States
Ted Selker relative to Heinrich Hußmann Germany Heinrich Hußmann's profile →
Citations per field
00.5×1.5×
Heinrich Hußmann · 1×
Citations per year

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).

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.

Co-authors

The 25 scholars most cited alongside Ted Selker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ted Selker Line = papers co-authored together Ted Selker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003423
2 2000216
3 2006202
4 2005147
5 1994141
6 1994133
7 2006123
8 199797
9 200694
10 200583
11 200075
12 199973
13 201870
14 200359
15 200359
16 200258
17
Force-to-motion functions for pointing
199054
18 200053
19 200546
20 200344

About Ted Selker

Ted Selker is a scholar working on Human-Computer Interaction, Artificial Intelligence, Social Psychology, Computer Vision and Pattern Recognition and Information Systems, having authored 124 papers that have together received 3.2k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (19 papers), Usability and User Interface Design (19 papers), Personal Information Management and User Behavior (14 papers), Gaze Tracking and Assistive Technology (13 papers), Context-Aware Activity Recognition Systems (12 papers), Human-Automation Interaction and Safety (11 papers), Internet Traffic Analysis and Secure E-voting (11 papers) and Tactile and Sensory Interactions (9 papers). The work is most often cited by research in Human-Computer Interaction (1.2k citations), Information Systems and Management (327 citations), Computer Vision and Pattern Recognition (787 citations), Artificial Intelligence (911 citations) and Experimental and Cognitive Psychology (327 citations). Ted Selker has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Henry Lieberman, Hugo Liu, Ernesto Arroyo, Leonardo Bonanni, Chia‐Hsun Lee, Shumin Zhai, Bowen Alpern, Wendy Ark, Barton A. Smith and Ephraim Feig. Their work appears in journals such as Communications of the ACM, IBM Systems Journal, Lecture notes in computer science, Algorithmica and Journal of Lipid Research.

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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