New York University

7.7M citations
171.7k papers ·

Impact in

    • Neural dynamics and brain function
    • Memory and Neural Mechanisms
    • Visual perception and processing mechanisms
    • Neural and Behavioral Psychology Studies
  • Finance top 0.01%
    • Financial Markets and Investment Strategies

Papers in

New York University

148.4k papers receiving 7.0M citations

Peers

New York University
Comparison fields: 5 of 252
  • Cognitive Neuroscience 563.0k
  • Finance 250.8k
  • Cellular and Molecular Neuroscience 410.9k
  • Immunology 391.8k
  • Molecular Biology 1.3M
Replace Columbia University with:
Columbia University United States
University of Pennsylvania United States
Cornell University United States
Yale University United States
Massachusetts Institute of Technology United States
Rutgers, The State University of New Jersey United States
Princeton University United States
Boston University United States
Harvard University Press United States
University of Toronto Canada
New York University relative to Columbia University United States Columbia University's profile →
Citations per field
00.5×1.5×
Columbia University · 1×
Citations per year

Countries citing scholars working at New York University

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at New York University. 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 papers produced at New York University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites New York University more than expected).

Fields of papers published by authors at New York University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with New York University at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with New York University at the time of their publication.

About New York University

In recent decades, authors affiliated with New York University have published 171.7k papers, which have received a total of 7.7M indexed citations . Scholars at this organization have produced 9.3k papers in Cognitive Neuroscience, 822 papers in General Decision Sciences, 4.4k papers in Finance, 6.6k papers in Cellular and Molecular Neuroscience and 6.3k papers in Clinical Psychology on the topics of Neural dynamics and brain function (2.7k papers), Neuroscience and Neuropharmacology Research (2.5k papers), Financial Markets and Investment Strategies (1.8k papers), Visual perception and processing mechanisms (1.7k papers), Corporate Finance and Governance (1.7k papers), Child and Adolescent Psychosocial and Emotional Development (1.6k papers), Banking stability, regulation, efficiency (1.3k papers) and Social and Intergroup Psychology (1.3k papers). Their work is cited by papers focused on Cognitive Neuroscience (563.0k citations), Finance (250.8k citations), Cellular and Molecular Neuroscience (410.9k citations), Immunology (391.8k citations) and Molecular Biology (1.3M citations). Authors at New York University collaborate with scholars in United States, United Kingdom and China and have published in prestigious journals including Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, PLoS ONE, Nature and Journal of Neuroscience. Some of New York University's most productive authors include Jacob Cohen, Joseph E. LeDoux, Stéphane Mallat, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio, Eero P. Simoncelli, Dan R. Littman, Nadrian C. Seeman and Joseph Schlessinger.

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.

Explore institutions with similar magnitude of impact