Paul Schrater

5.4k total citations
102 papers, 3.4k citations indexed

About

Paul Schrater is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Paul Schrater has authored 102 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cognitive Neuroscience, 25 papers in Computer Vision and Pattern Recognition and 17 papers in Artificial Intelligence. Recurrent topics in Paul Schrater's work include Visual perception and processing mechanisms (23 papers), Neural dynamics and brain function (18 papers) and Advanced Vision and Imaging (13 papers). Paul Schrater is often cited by papers focused on Visual perception and processing mechanisms (23 papers), Neural dynamics and brain function (18 papers) and Advanced Vision and Imaging (13 papers). Paul Schrater collaborates with scholars based in United States, Netherlands and Germany. Paul Schrater's co-authors include Daniel Kersten, Thomas A. Carlson, Sheng He, Scott O. Murray, C. Shawn Green, Alexandre Pouget, Daphné Bavelier, Maria Gini, Steven Jensen and Daniel Boley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Paul Schrater

100 papers receiving 3.2k citations

Peers

Paul Schrater
Comparison fields: 5 of 149
  • Cognitive Neuroscience 2.0k
  • Computer Vision and Pattern Recognition 472
  • Experimental and Cognitive Psychology 455
  • Artificial Intelligence 437
  • Social Psychology 301
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A. Terry Bahill United States View profile →
Citations per field, relative to Paul Schrater
Paul Schrater · 1×
Citations per year, relative to Paul Schrater
Paul Schrater · 1×

Countries citing papers authored by Paul Schrater

Since Specialization
Citations

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

Fields of papers citing papers by Paul Schrater

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Schrater

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Schrater. A scholar is included among the top collaborators of Paul Schrater 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 Paul Schrater. Paul Schrater 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
# Work Indexed citations
1 6
2 15
3
Inverse POMDP: Inferring What You Think from What You Do.
1
4
Modeling sampling duration in decisions from experience.
3
5
Frugal preference formation
1
6
Magnitude-sensitive preference formation`
5
7
Classical conditioning via inference over observable situation contexts.
1
8 1
9
Efficient learning in linearly solvable MDP models
2
10
Rational inference of relative preferences
6
11 145
12
A value-relativistic decision theory predicts known biases in human preferences
3
13
Tactical and Strategic Sales Management for Intelligent Agents Guided By Economic Regimes
2
14
Structure Learning in Human Sequential Decision-Making
3
15 6
16
Non-stationary policy learning in 2-player zero sum games
5
17
Proceedings of the National Conference on Artificial Intelligence
315
18
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
22
19
Human and Ideal Observers for Detecting Image Curves
12
20
Human and Ideal Observers for Detecting Image Curves
10

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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