Daniel J. Robin

600 citations
10 papers · 520 · h-index 8

Impact in

Papers in

Daniel J. Robin

9 papers receiving 467 citations

Peers

Daniel J. Robin
Comparison fields: 5 of 57
  • Cognitive Neuroscience 347
  • Developmental and Educational Psychology 183
  • Social Psychology 141
  • Human-Computer Interaction 32
  • Small Animals 29
Replace Marco Favilla with:
Marco Favilla Italy
Jurjen Bosga Netherlands
Martha L. Hyde United States
Kristie Nemeth United States
Daniel D. McCall United States
Caroline Blanchard United Kingdom
Stéphane Vieilledent France
Mark G. Fischman United States
Jocelyn Keillor Canada
Jaeho Shim United States
Daniel J. Robin relative to Marco Favilla Italy Marco Favilla's profile →
Citations per field
00.5×2×4×6×8×9.7×
Marco Favilla · 1×
Citations per year

Countries citing papers authored by Daniel J. Robin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Robin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Robin. 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 Daniel J. Robin. The network helps show where Daniel J. Robin may publish in the future.

Co-authors

The 8 scholars most cited alongside Daniel J. Robin, 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 Daniel J. Robin Line = papers co-authored together Daniel J. Robin links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1996147
2 199999
3 199496
4 200063
5 199656
6 200132
7 199812
8 199412
9 19963
10 20230

About Daniel J. Robin

Daniel J. Robin is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Automotive Engineering, Small Animals and Molecular Biology, having authored 10 papers that have together received 520 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (7 papers), Child and Animal Learning Development (4 papers), Motor Control and Adaptation (4 papers), Hearing Impairment and Communication (3 papers), Spatial Cognition and Navigation (2 papers), Veterinary Orthopedics and Neurology (1 paper), Veterinary Equine Medical Research (1 paper) and Muscle activation and electromyography studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (347 citations), Developmental and Educational Psychology (183 citations), Social Psychology (141 citations), Human-Computer Interaction (32 citations) and Small Animals (29 citations). Daniel J. Robin has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Neil E. Berthier, Rachel K. Clifton, Daniel D. McCall, Vijaykumar Gullapalli, Philippe Rochat, Frank T. J. M. Zaal, Denis J. Marcellin‐Little and Geoffrey P. Bingham. Their work appears in journals such as Journal of Experimental Psychology Human Perception & Performance, Developmental Psychology, Journal of Motor Behavior, Journal of Small Animal Practice and Experimental Brain Research.

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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