David Pitcher

4.3k citations
52 papers · 2.6k indexed · 1 hit paper · h-index 19

David Pitcher

49 papers receiving 2.6k citations

Hit Papers

Evidence for a Third Visual Pathway Specialized for Socia...275202020262022202450100150200250

Peers

David Pitcher
Comparison fields: 5 of 108
  • Cognitive Neuroscience 2.3k
  • Experimental and Cognitive Psychology 726
  • Neurology 210
  • Computer Vision and Pattern Recognition 420
  • Social Psychology 410
Replace Gyula Kovács with:
Gyula Kovács Germany
Kevin S. Weiner United States
Sascha Frühholz Switzerland
Holger Wiese Germany
C.A. Heywood United Kingdom
Lúcia Garrido United Kingdom
Corentin Jacques Belgium
Stephan A. Brandt Germany
Alison Harris United States
David Soto United Kingdom
David Pitcher relative to Gyula Kovács Germany Gyula Kovács's profile →
Citations per field
00.5×1.5×
Gyula Kovács · 1×
Citations per year

Countries citing papers authored by David Pitcher

Since Specialization
Citations

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

Fields of papers citing papers by David Pitcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20242
3 20234
4 20233
5 20228
6 20216
7 202018
8 2014108
9 201269
10 201240
11 20111
12 20110
13 201135
14 201146
15 2011288
16 2011325
17 2009257
18
TMS disrupts the perception and embodiment of facial expressions.
200818
19 20085
20 2007364

About David Pitcher

David Pitcher is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Neurology, Computer Vision and Pattern Recognition and Neurology, having authored 52 papers that have together received 2.6k indexed citations. Recurring topics across this work include Face Recognition and Perception (40 papers), Visual perception and processing mechanisms (21 papers), Neural and Behavioral Psychology Studies (14 papers), Visual Attention and Saliency Detection (8 papers), Functional Brain Connectivity Studies (6 papers), Multisensory perception and integration (6 papers), Neural dynamics and brain function (5 papers) and Transcranial Magnetic Stimulation Studies (5 papers). The work is most often cited by research in Cognitive Neuroscience (2.3k citations), Experimental and Cognitive Psychology (726 citations), Neurology (210 citations), Computer Vision and Pattern Recognition (420 citations) and Social Psychology (410 citations). David Pitcher has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Bradley Duchaine, Vincent Walsh, Leslie G. Ungerleider, Galit Yovel, Nancy Kanwisher, Lúcia Garrido, Vincent Walsh, Daniel D. Dilks, Rebecca Saxe and Christina Triantafyllou. Their work appears in journals such as Current Biology, Journal of Vision, Journal of Neuroscience, NeuroImage and Trends in Cognitive Sciences.

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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