Jason Fischer

2.5k citations
37 papers · 1.6k indexed · 1 hit paper · h-index 17
Topics
Visual perception and processing mechanisms (21 papers)Face Recognition and Perception (16 papers)Neural dynamics and brain function (10 papers)

In The Last Decade

Jason Fischer

35 papers receiving 1.5k citations

Hit Papers

Serial dependence in visual perception20142026201820222014100200300400500

Peers

Jason Fischer
Comparison fields: 5 of 94
  • Cognitive Neuroscience 1.4k
  • Experimental and Cognitive Psychology 350
  • Social Psychology 219
  • Computer Vision and Pattern Recognition 129
  • Developmental and Educational Psychology 129
Replace Daryl Fougnie with:
Daryl Fougnie United States
Sergei Gepshtein United States
Erik Blaser United States
Thomas A. Busey United States
Edward F. Ester United States
Zhuanghua Shi Germany
Dejan Draschkow United Kingdom
Stacia R. Friedman‐Hill United States
Sang Chul Chong South Korea
Yaffa Yeshurun Israel
Jason Fischer relative to Daryl Fougnie United States Daryl Fougnie's profile →
Citations per field
00.5×1.5×
Daryl Fougnie · 1×
Citations per year

Countries citing papers authored by Jason Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Jason Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Fischer. A scholar is included among the top collaborators of Jason Fischer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jason Fischer. Jason Fischer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 5
3 4
4 2
5 3
6 2
7
The hierarchical sparse selection model of visual crowding
1
8 56
9 219
10 1
11 45
12 13
13 71
14 44
15 2
16 26
17 75
18 49
19 0
20 40

About Jason Fischer

Jason Fischer is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (21 papers), Face Recognition and Perception (16 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Experimental and Cognitive Psychology (350 citations) and Sensory Systems (67 citations). Jason Fischer has collaborated with scholars based in United States, Singapore and Israel. Frequent co-authors include David Whitney, Alina Liberman, Nancy Kanwisher, John G. Mikhael, Joshua B. Tenenbaum, Gerrit W. Maus, Jennifer E. Corbett, Kami Koldewyn, Lynn C. Robertson and Yuhong Jiang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

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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