Eric Dishman

14 papers receiving 890 citations

Eric Dishman's Hit Papers

Diversity and inclusion for the All of Us research program: A scoping review 2020 · 206 citations
2060+2+4Years since publication50100150200

Peers

Eric Dishman
Comparison fields: 5 of 95
  • Human-Computer Interaction 152
  • Demography 185
  • Occupational Therapy 48
  • Computer Vision and Pattern Recognition 156
  • Health Information Management 56
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Róisín McNaney United Kingdom
J. Artur Serrano Norway
Roberta Bevilacqua Italy
María Fernanda Cabrera-Umpiérrez Spain
Francisco Nunes Portugal
Carolina L. Bottari Canada
Francesca Lunardini Italy
Zulqarnain Rashid United Kingdom
Antonis S. Billis Greece
Dimitrios A. Gatsios Greece
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Countries citing papers authored by Eric Dishman

Since Specialization
Citations

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

Fields of papers citing papers by Eric Dishman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2004239
2
Diversity and inclusion for the All of Us research program: A scoping review
Hit paper breakdown →
2020206
3 1994135
4 2008129
5 200389
6 200441
7 200938
8 200724
9
Everyday Health: Technology for Adaptive Aging
200419
10
Deploying wide-scale in-home assessment technology
200817
11 20088
12 20102
13
ACTORS,HAIRDOS& VIDEOTAPE= INFORMANCE DESIGN Usingperformancetechniquesin multi-disciplinaryobservationbaseddesign
19941
14 20121

About Eric Dishman

Eric Dishman is a scholar working on Demography, Psychiatry and Mental health, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Physical Therapy, Sports Therapy and Rehabilitation, having authored 14 papers that have together received 949 indexed citations. Recurring topics across this work include Technology Use by Older Adults (8 papers), Dementia and Cognitive Impairment Research (3 papers), Context-Aware Activity Recognition Systems (2 papers), Telemedicine and Telehealth Implementation (1 paper), Digital Media and Visual Art (1 paper), Usability and User Interface Design (1 paper), Balance, Gait, and Falls Prevention (1 paper) and IoT-based Smart Home Systems (1 paper). The work is most often cited by research in Human-Computer Interaction (152 citations), Demography (185 citations), Occupational Therapy (48 citations), Computer Vision and Pattern Recognition (156 citations) and Health Information Management (56 citations). Eric Dishman has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jay Lundell, Margaret E. Morris, William L. Verplank, María C. Carrillo, Joshua C. Denny, Brandy M. Mapes, Marcia I. Epelbaum, Mona AuYoung, Maria Lopez‐Class and Consuelo Hopkins Wilkins. Their work appears in journals such as Alzheimer s & Dementia, Movement Disorders, PLoS ONE, Computer and Lecture notes in computer science.

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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