Eric Dishman

1.2k citations
14 papers · 918 · h-index 10

Impact in

Papers in

Eric Dishman

14 papers receiving 861 citations

Peers

Eric Dishman
Comparison fields: 5 of 110
  • Human-Computer Interaction 199
  • Demography 190
  • Computer Vision and Pattern Recognition 223
  • Neuropsychology and Physiological Psychology 14
  • Occupational Therapy 37
Replace Roberta Bevilacqua with:
Roberta Bevilacqua Italy
Francisco Nunes Portugal
Róisín McNaney United Kingdom
Lynne Baillie United Kingdom
Julie Doyle Ireland
Jan David Smeddinck Germany
María Fernanda Cabrera-Umpiérrez Spain
Casey C. Bennett United States
Tiago Guerreiro Portugal
Tiffany L. Bhattacharjee Chen United States
Eric Dishman relative to Roberta Bevilacqua Italy Roberta Bevilacqua's profile →
Citations per field
00.5×2.8×
Roberta Bevilacqua · 1×
Citations per year

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 2004244
2 2020170
3 1994135
4 2008127
5 200390
6 200441
7 200937
8 200726
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, Computer Vision and Pattern Recognition, Psychiatry and Mental health, Human-Computer Interaction and Management of Technology and Innovation, having authored 14 papers that have together received 918 indexed citations. Recurring topics across this work include Technology Use by Older Adults (5 papers), Context-Aware Activity Recognition Systems (4 papers), Dementia and Cognitive Impairment Research (3 papers), Innovative Human-Technology Interaction (2 papers), Innovative Approaches in Technology and Social Development (2 papers), Neurological disorders and treatments (1 paper), BRCA gene mutations in cancer (1 paper) and Design Education and Practice (1 paper). The work is most often cited by research in Human-Computer Interaction (199 citations), Demography (190 citations), Computer Vision and Pattern Recognition (223 citations), Neuropsychology and Physiological Psychology (14 citations) and Occupational Therapy (37 citations). Eric Dishman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jay Lundell, Margaret E. Morris, William L. Verplank, María C. Carrillo, Sheila V. Kusnoor, Marcia I. Epelbaum, Mona AuYoung, Christopher S. Foster, Maria Lopez‐Class and Joshua C. Denny. Their work appears in journals such as Alzheimer s & Dementia, Movement Disorders, Computer, PLoS ONE and Gerontechnology.

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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