Berkeley College

457.4k citations
8.9k papers ·

Impact in

Papers in

Berkeley College

7.6k papers receiving 431.7k citations

Peers

Berkeley College
Comparison fields: 5 of 250
  • Computer Vision and Pattern Recognition 116.8k
  • Computer Graphics and Computer-Aided Design 10.9k
  • Artificial Intelligence 81.3k
  • Computer Networks and Communications 49.7k
  • Media Technology 16.5k
Replace Rensselaer Polytechnic Institute with:
Rensselaer Polytechnic Institute United States
New Jersey Institute of Technology United States
Northeastern University United States
IIT@MIT United States
George Mason University United States
IBM Research - Thomas J. Watson Research Center United States
University of Maryland, Baltimore County United States
Binghamton University United States
Worcester Polytechnic Institute United States
AT&T (United States) United States
Berkeley College relative to Rensselaer Polytechnic Institute United States Rensselaer Polytechnic Institute's profile →
Citations per field
00.5×1.5×1.8×
Rensselaer Polytechnic Institute · 1×
Citations per year

Countries citing scholars working at Berkeley College

Since Specialization
Citations

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

Fields of papers published by authors at Berkeley College

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Berkeley College 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 Berkeley College at the time of their publication.

About Berkeley College

In recent decades, authors affiliated with Berkeley College have published 8.9k papers, which have received a total of 457.4k indexed citations . Scholars at this organization have produced 1.3k papers in Artificial Intelligence, 689 papers in Computer Vision and Pattern Recognition, 215 papers in Hardware and Architecture, 704 papers in Computer Networks and Communications and 99 papers in Computer Graphics and Computer-Aided Design on the topics of Cryptography and Data Security (167 papers), Cloud Computing and Resource Management (138 papers), Complexity and Algorithms in Graphs (134 papers), Advanced Vision and Imaging (133 papers), Multimodal Machine Learning Applications (131 papers), Topic Modeling (129 papers), Domain Adaptation and Few-Shot Learning (121 papers) and Natural Language Processing Techniques (120 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (116.8k citations), Computer Graphics and Computer-Aided Design (10.9k citations), Artificial Intelligence (81.3k citations), Computer Networks and Communications (49.7k citations) and Media Technology (16.5k citations). Authors at Berkeley College collaborate with scholars in United States, United Kingdom and China and have published in prestigious journals including Physical Chemistry Chemical Physics, Journal of Materials Chemistry A, Chemical Communications, Chemical Science and Dalton Transactions. Some of Berkeley College's most productive authors include Trevor J. Darrell, Evan Shelhamer, Jonathan Long, Ross Girshick, Jitendra Malik, Jeff Donahue, Alexei A. Efros, Phillip Isola, Jun-Yan Zhu and Taesung Park.

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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