Dan Nathan-Roberts

550 citations
56 papers · 347 · h-index 11

Impact in

Papers in

Dan Nathan-Roberts

52 papers receiving 327 citations

Peers

Dan Nathan-Roberts
Comparison fields: 5 of 99
  • Human-Computer Interaction 55
  • Medical Laboratory Technology 10
  • Applied Psychology 24
  • Social Psychology 95
  • Cognitive Neuroscience 66
Replace Setia Hermawati with:
Setia Hermawati United Kingdom
Sara J. Czaja United States
Olga Vl. Bitkina South Korea
Bram Boris Van Acker Belgium
Frederik Funke Germany
Eberhard Ulich Switzerland
Russell J. Branaghan United States
Ruifeng Yu China
Lovenoor Aulck United States
Maria Laura Mele Italy
Dan Nathan-Roberts relative to Setia Hermawati United Kingdom Setia Hermawati's profile →
Citations per field
00.5×3.3×
Setia Hermawati · 1×
Citations per year

Countries citing papers authored by Dan Nathan-Roberts

Since Specialization
Citations

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

Fields of papers citing papers by Dan Nathan-Roberts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201631
2 201824
3 201723
4 201923
5 201918
6 201918
7 201714
8 200913
9 201912
10 201811
11 201810
12 202210
13 20159
14 20198
15 20208
16 20177
17 20216
18 20176
19 20176
20 20155

About Dan Nathan-Roberts

Dan Nathan-Roberts is a scholar working on Social Psychology, Human-Computer Interaction, Cognitive Neuroscience, Experimental and Cognitive Psychology and General Health Professions, having authored 56 papers that have together received 347 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (8 papers), Innovative Human-Technology Interaction (6 papers), Color perception and design (6 papers), Technology Use by Older Adults (5 papers), Multisensory perception and integration (4 papers), Mobile Health and mHealth Applications (4 papers), Neuroscience and Neural Engineering (3 papers) and Ergonomics and Musculoskeletal Disorders (3 papers). The work is most often cited by research in Human-Computer Interaction (55 citations), Medical Laboratory Technology (10 citations), Applied Psychology (24 citations), Social Psychology (95 citations) and Cognitive Neuroscience (66 citations). Dan Nathan-Roberts has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include QingE Wu, Yili Liu, Katherine Chen, David Rempel, Simar Singh, Jeff DeGraff, Dan Odell, Giuseppe Di Gironimo, Rupa S. Valdez and Antonio Lanzotti. Their work appears in journals such as Ergonomics, International Journal of Public Administration, International Journal of Human-Computer Interaction, International Journal for Quality in Health Care and PLoS ONE.

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.

Explore authors with similar magnitude of impact