Peter C. Gerhardstein

2.5k citations
51 papers · 2k · h-index 21

Impact in

Papers in

Peter C. Gerhardstein

49 papers receiving 1.7k citations

Peers

Peter C. Gerhardstein
Comparison fields: 5 of 88
  • Cognitive Neuroscience 1.1k
  • Developmental and Educational Psychology 530
  • Automotive Engineering 128
  • Experimental and Cognitive Psychology 193
  • Education 270
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Annie Vinter A France
Rachel E. Keen United States
Esther Adi‐Japha Israel
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Citations per field
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Citations per year

Countries citing papers authored by Peter C. Gerhardstein

Since Specialization
Citations

This map shows the geographic impact of Peter C. 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 C. 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 C. Gerhardstein more than expected).

Fields of papers citing papers by Peter C. Gerhardstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993509
2 1995152
3 1998119
4 2008118
5 2015109
6 1998101
7 200281
8 201272
9 201658
10 200053
11 201748
12 201646
13 201244
14 199936
15 199829
16 200427
17 199726
18 199825
19 199823
20 202423

About Peter C. Gerhardstein

Peter C. Gerhardstein is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 51 papers that have together received 2k indexed citations. Recurring topics across this work include Child and Animal Learning Development (21 papers), Visual perception and processing mechanisms (21 papers), Face Recognition and Perception (6 papers), Memory Processes and Influences (6 papers), Visual Attention and Saliency Detection (3 papers), Face recognition and analysis (3 papers), Child Development and Digital Technology (3 papers) and Spatial Cognition and Navigation (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Developmental and Educational Psychology (530 citations), Automotive Engineering (128 citations), Experimental and Cognitive Psychology (193 citations) and Education (270 citations). Peter C. Gerhardstein has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Irving Biederman, Carolyn Rovee‐Collier, Rachel Barr, Kelly Dickerson, Alecia Moser, Elizabeth Zack, Laura Zimmermann, Andrew N. Meltzoff, Steven Z. Rapcsak and Mary A. Peterson. Their work appears in journals such as Developmental Psychobiology, Vision Research, Infant Behavior and Development, Journal of Experimental Child Psychology and British Journal of Developmental Psychology.

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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