Imri Sofer

1.1k citations
2 papers · 742 · 1 hit paper · h-index 2

Impact in

    • Decision-Making and Behavioral Economics
    • Neural and Behavioral Psychology Studies
    • Visual perception and processing mechanisms
    • Neural dynamics and brain function
    • Face Recognition and Perception
    • Memory Processes and Influences

Papers in

Imri Sofer

2 papers receiving 734 citations

Imri Sofer's Hit Papers

HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python 2013 · 726 citations
7260+4+8Years since publication200400600

Peers

Imri Sofer
Comparison fields: 5 of 63
  • General Decision Sciences 146
  • Cognitive Neuroscience 484
  • Experimental and Cognitive Psychology 102
  • Neuropsychology and Physiological Psychology 8
  • Statistics and Probability 33
Replace Wouter Boekel with:
Wouter Boekel Netherlands
Mathieu Servant France
Patrick Simen United States
Leola A. Alfonso-Reese United States
Adam Krawitz United States
Evan James Livesey Australia
Nicole M. Long United States
Angela Radulescu United States
Corey N. White United States
Reka Daniel United States
Imri Sofer relative to Wouter Boekel Netherlands Wouter Boekel's profile →
Citations per field
00.5×2×2.7×
Wouter Boekel · 1×
Citations per year

Countries citing papers authored by Imri Sofer

Since Specialization
Citations

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

Fields of papers citing papers by Imri Sofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Imri Sofer, 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 Imri Sofer Line = papers co-authored together Imri Sofer links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python
Hit paper breakdown →
2013726
2 201516

About Imri Sofer

Imri Sofer is a scholar working on General Decision Sciences, Cognitive Neuroscience, Statistics and Probability, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 2 papers that have together received 742 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (1 paper), Decision-Making and Behavioral Economics (1 paper), Visual perception and processing mechanisms (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in General Decision Sciences (146 citations), Cognitive Neuroscience (484 citations), Experimental and Cognitive Psychology (102 citations), Neuropsychology and Physiological Psychology (8 citations) and Statistics and Probability (33 citations). Imri Sofer has collaborated with scholars based in United States. Frequent co-authors include Thomas V. Wiecki, Michael J. Frank and Sébastien M. Crouzet. Their work appears in journals such as PLoS Computational Biology and Frontiers in Neuroinformatics.

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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