Todd Ingalls

701 citations
26 papers · 421 · h-index 13

Impact in

Papers in

Todd Ingalls

25 papers receiving 406 citations

Peers

Todd Ingalls
Comparison fields: 5 of 72
  • Human-Computer Interaction 138
  • Rehabilitation 81
  • Computer Vision and Pattern Recognition 166
  • Physical Therapy, Sports Therapy and Rehabilitation 30
  • Cognitive Neuroscience 114
Replace Michelle Karg with:
Michelle Karg Germany
Tommaso Lisini Baldi Italy
Erwin Schoonderwaldt Germany
Eduardo Lázaro Martins Naves Brazil
Laura Trutoiu United States
Chris Raymaekers Belgium
Shahrul Na’im Sidek Malaysia
Karla Félix Navarro Australia
Hitoshi Konosu Japan
Enrique Hortal Spain
Todd Ingalls relative to Michelle Karg Germany Michelle Karg's profile →
Citations per field
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Citations per year

Countries citing papers authored by Todd Ingalls

Since Specialization
Citations

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

Fields of papers citing papers by Todd Ingalls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Todd Ingalls, 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 Todd Ingalls Line = papers co-authored together Todd Ingalls links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201846
2 200545
3 200642
4 200540
5 200639
6 200727
7 201121
8
Computer-Generating emotional music: The design of an affective music algorithm
200821
9 200920
10 201120
11 201520
12 201418
13 201914
14 200611
15 201411
16 20117
17 20104
18 20113
19 20063
20 20222

About Todd Ingalls

Todd Ingalls is a scholar working on Computer Vision and Pattern Recognition, Rehabilitation, Human-Computer Interaction, Cognitive Neuroscience and Social Psychology, having authored 26 papers that have together received 421 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (7 papers), Human Pose and Action Recognition (5 papers), Human Motion and Animation (4 papers), Action Observation and Synchronization (3 papers), Music and Audio Processing (3 papers), Motor Control and Adaptation (3 papers), Virtual Reality Applications and Impacts (2 papers) and Music Technology and Sound Studies (2 papers). The work is most often cited by research in Human-Computer Interaction (138 citations), Rehabilitation (81 citations), Computer Vision and Pattern Recognition (166 citations), Physical Therapy, Sports Therapy and Rehabilitation (30 citations) and Cognitive Neuroscience (114 citations). Todd Ingalls has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Thanassis Rikakis, Ellen Campana, Ed Finn, Pat Pataranutaporn, Gang Qian, Jiping He, He Huang, Gang Qian, Stjepan Rajko and Yinpeng Chen. Their work appears in journals such as IEEE Signal Processing Magazine, Leonardo, Physical Therapy, IEEE Journal of Biomedical and Health Informatics and Advances in Human-Computer 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.

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