Dan Morris

4.9k citations
77 papers · 3.3k indexed · 1 hit paper · h-index 30

Dan Morris

76 papers receiving 3.2k citations

Hit Papers

Skinput4572010202620152020100200300400

Peers

Dan Morris
Comparison fields: 5 of 173
  • Human-Computer Interaction 1.5k
  • Cognitive Neuroscience 1.3k
  • Computer Vision and Pattern Recognition 702
  • Signal Processing 211
  • Biomedical Engineering 706
Replace Mayank Goel with:
Mayank Goel United States
Sidney Fels Canada
Dana Kulić Canada
Yuanchun Shi China
Kai Kunze Japan
Armando Barreto United States
Nadia Bianchi‐Berthouze United Kingdom
Joseph H. Goldberg United States
Bilge Mutlu United States
Mohamad Eid United Arab Emirates
Dan Morris relative to Mayank Goel United States Mayank Goel's profile →
Citations per field
00.5×1.5×2.3×
Mayank Goel · 1×
Citations per year

Countries citing papers authored by Dan Morris

Since Specialization
Citations

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

Fields of papers citing papers by Dan Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20231
3 202155
4 202032
5
Aurora – A Noninvasive, Wrist-worn Device for Ambulatory Hemodynamic Monitoring
20151
6 201584
7 201518
8 201416
9 201114
10
Exposing parameters of a trained dynamic model for interactive music creation
200818
11 200886
12 200816
13
Instrumenting the dynamic web
200710
14 20062
15 200627
16 200613
17
Quantifying risky behavior in surgical simulation.
200517
18 200444
19
Assisted suicide under the European Convention on Human Rights: a critique.
20033
20 199368

About Dan Morris

Dan Morris is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Cognitive Neuroscience, having authored 77 papers that have together received 3.3k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (19 papers), Teleoperation and Haptic Systems (11 papers), Interactive and Immersive Displays (10 papers), Virtual Reality Applications and Impacts (9 papers), Augmented Reality Applications (7 papers), Mobile Health and mHealth Applications (7 papers), Music Technology and Sound Studies (6 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Human-Computer Interaction (1.5k citations), Cognitive Neuroscience (1.3k citations) and Computer Vision and Pattern Recognition (702 citations). Dan Morris has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Desney Tan, T. Scott Saponas, Chris Harrison, Federico Barbagli, Ravin Balakrishnan, Kenneth Salisbury, James A. Landay, Jim Turner, Ryen W. White and Meredith Ringel Morris. Their work appears in journals such as Computer Aided Surgery, Circulation, Journal of Histochemistry & Cytochemistry, Human Gene Therapy and Personal and Ubiquitous Computing.

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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