Cornell Tech

73.7k citations
1.4k papers ·

Impact in

    • Advanced Neural Network Applications
    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods
    • Privacy-Preserving Technologies in Data
    • Cryptography and Data Security
    • Domain Adaptation and Few-Shot Learning
    • Adversarial Robustness in Machine Learning

Papers in

Cornell Tech

1.2k papers receiving 69.3k citations

Peers

Cornell Tech
Comparison fields: 5 of 231
  • Computer Vision and Pattern Recognition 28.5k
  • Artificial Intelligence 24.0k
  • Health Informatics 826
  • Computer Graphics and Computer-Aided Design 2.0k
  • Human-Computer Interaction 3.2k
Replace MIT Computer Science and Artificial Intelligence Laboratory with:
MIT Computer Science and Artificial Intelligence Laboratory United States
Institute of Electrical and Electronics Engineers United States
Center for Information Technology United States
Human Media United States
MIT Media Lab United States
Artificial Intelligence in Medicine (Canada) Canada
Mitsubishi Electric Research Laboratories (United States) United States
Kitware (United States) United States
Embedded Systems (United States) United States
United States National Library of Medicine United States
Cornell Tech relative to MIT Computer Science and Artificial Intelligence Laboratory United States MIT Computer Science and Artificial Intelligence Laboratory's profile →
Citations per field
00.5×2×3×4×4.7×
MIT Computer Science and Artificial Intelligence Laboratory · 1×
Citations per year

Countries citing scholars working at Cornell Tech

Since Specialization
Citations

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

Fields of papers published by authors at Cornell Tech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Cornell Tech 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 Cornell Tech at the time of their publication.

About Cornell Tech

In recent decades, authors affiliated with Cornell Tech have published 1.4k papers, which have received a total of 73.7k indexed citations . Scholars at this organization have produced 139 papers in Human-Computer Interaction, 21 papers in Health Informatics, 388 papers in Artificial Intelligence, 56 papers in Computer Science Applications and 44 papers in Applied Psychology on the topics of Cryptography and Data Security (115 papers), Innovative Human-Technology Interaction (85 papers), Human-Automation Interaction and Safety (66 papers), Privacy-Preserving Technologies in Data (62 papers), Ethics and Social Impacts of AI (59 papers), Privacy, Security, and Data Protection (58 papers), Blockchain Technology Applications and Security (54 papers) and Tactile and Sensory Interactions (51 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (28.5k citations), Artificial Intelligence (24.0k citations), Health Informatics (826 citations), Computer Graphics and Computer-Aided Design (2.0k citations) and Human-Computer Interaction (3.2k citations). Authors at Cornell Tech collaborate with scholars in United States, Israel and Canada and have published in prestigious journals including Proceedings of the ACM on Human-Computer Interaction, Operations Research, Management Science, Lecture notes in computer science and Communications of the ACM. Some of Cornell Tech's most productive authors include Serge Belongie, Tsung-Yi Lin, Piotr Dollár, Bharath Hariharan, Ross Girshick, Kaiming He, Xun Cheng Huang, Thomas Ristenpart, Vitaly Shmatikov and Congzheng Song.

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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