Peter Gerhardstein

2.8k citations
56 papers · 1.9k indexed · h-index 20

Peter Gerhardstein

52 papers receiving 1.9k citations

Peers

Peter Gerhardstein
Comparison fields: 5 of 107
  • Cognitive Neuroscience 1.3k
  • Developmental and Educational Psychology 564
  • Experimental and Cognitive Psychology 260
  • Computer Vision and Pattern Recognition 399
  • Automotive Engineering 160
Replace Ruth Kimchi with:
Ruth Kimchi Israel
Albert Yonas United States
Martin Arguin Canada
Martha E. Arterberry United States
Christine Schiltz Luxembourg
Eloisa Valenza Italy
Bart Farell United States
Rick O. Gilmore United States
P. C. Dodwell Canada
Viola Macchi Cassia Italy
Peter Gerhardstein relative to Ruth Kimchi Israel Ruth Kimchi's profile →
Citations per field
00.5×1.5×
Ruth Kimchi · 1×
Citations per year

Countries citing papers authored by Peter Gerhardstein

Since Specialization
Citations

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

Fields of papers citing papers by Peter Gerhardstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20215
2 20184
3 201721
4 201579
5 201514
6 201219
7 201241
8 20102
9 200817
10 20078
11 200519
12 200275
13 200017
14 199830
15 199811
16 19981
17 199879
18 199822
19 199725
20 1993441

About Peter Gerhardstein

Peter Gerhardstein is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Social Psychology and Education, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Child and Animal Learning Development (21 papers), Visual perception and processing mechanisms (20 papers), Face Recognition and Perception (11 papers), Neural and Behavioral Psychology Studies (9 papers), Child Development and Digital Technology (8 papers), Memory and Neural Mechanisms (6 papers), Memory Processes and Influences (5 papers) and Autism Spectrum Disorder Research (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Developmental and Educational Psychology (564 citations), Experimental and Cognitive Psychology (260 citations), Computer Vision and Pattern Recognition (399 citations) and Automotive Engineering (160 citations). Peter Gerhardstein has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Irving Biederman, Carolyn Rovee‐Collier, Kelly Dickerson, Rachel Barr, Alecia Moser, Elizabeth Zack, Andrew N. Meltzoff, Laura Zimmermann, Steven Z. Rapcsak and Mary A. Peterson. Their work appears in journals such as Developmental Psychobiology, Journal of Experimental Child Psychology, Child Development, Journal of Experimental Psychology Human Perception & Performance and Vision 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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