Ted Selker

4.4k citations
101 papers · 2.4k · h-index 26

Impact in

Papers in

Ted Selker

96 papers receiving 2.1k citations

Peers

Ted Selker
Comparison fields: 5 of 118
  • Human-Computer Interaction 850
  • Information Systems and Management 245
  • Computer Vision and Pattern Recognition 593
  • Artificial Intelligence 680
  • Computer Science Applications 108
Replace Francesco Bellotti with:
Francesco Bellotti Italy
Heinrich Hußmann Germany
Fabio Paternò Italy
Chris Greenhalgh United Kingdom
Alan F. Blackwell United Kingdom
Clayton Lewis United States
Mark Newman United States
Sara Bly United States
Stuart Card United States
Charles Rich United States
Ted Selker relative to Francesco Bellotti Italy Francesco Bellotti's profile →
Citations per field
00.5×1.5×2.5×
Francesco Bellotti · 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 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003332
2 2000169
3 2006166
4 2005124
5 1994117
6 1994104
7 200696
8 200679
9 200571
10 200060
11 201858
12 199954
13 200353
14 200349
15
Force-to-motion functions for pointing
199048
16 200040
17 200139
18 200536
19
CounterIntelligence: Augmented Reality Kitchen
200534
20 200634

About Ted Selker

Ted Selker is a scholar working on Human-Computer Interaction, Social Psychology, Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science, having authored 101 papers that have together received 2.4k indexed citations. Recurring topics across this work include Usability and User Interface Design (15 papers), Interactive and Immersive Displays (15 papers), Context-Aware Activity Recognition Systems (12 papers), Personal Information Management and User Behavior (11 papers), Gaze Tracking and Assistive Technology (10 papers), Multimedia Communication and Technology (9 papers), Human-Automation Interaction and Safety (9 papers) and Internet Traffic Analysis and Secure E-voting (8 papers). The work is most often cited by research in Human-Computer Interaction (850 citations), Information Systems and Management (245 citations), Computer Vision and Pattern Recognition (593 citations), Artificial Intelligence (680 citations) and Computer Science Applications (108 citations). Ted Selker has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Henry Lieberman, Hugo Liu, Ernesto Arroyo, Leonardo Bonanni, Chia‐Hsun Lee, Bowen Alpern, Ephraim Feig, Wendy Ark, Hao Yan and Brad A. Myers. Their work appears in journals such as Communications of the ACM, IBM Systems Journal, International Journal of Human-Computer Studies, Scientific American and Algorithmica.

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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