International Computer Science Institute

172.6k citations
2.5k papers ·

Impact in

    • Caching and Content Delivery
    • Peer-to-Peer Network Technologies
    • Network Security and Intrusion Detection
    • Network Traffic and Congestion Control
    • Software-Defined Networks and 5G
    • Speech and Audio Processing

Papers in

    • Speech and Audio Processing 215
    • Music and Audio Processing 172
    • Speech Recognition and Synthesis 251
    • Natural Language Processing Techniques 193
    • Internet Traffic Analysis and Secure E-voting 181
    • Topic Modeling 126

International Computer Science Institute

2.4k papers receiving 167.8k citations

Peers

International Computer Science Institute
Comparison fields: 5 of 242
  • Computer Networks and Communications 64.8k
  • Signal Processing 23.9k
  • Artificial Intelligence 62.2k
  • Computer Vision and Pattern Recognition 29.8k
  • Information Systems 19.9k
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Citations per field
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Citations per year

Countries citing scholars working at International Computer Science Institute

Since Specialization
Citations

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

Fields of papers published by authors at International Computer Science Institute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with International Computer Science Institute 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 International Computer Science Institute at the time of their publication.

About International Computer Science Institute

In recent decades, authors affiliated with International Computer Science Institute have published 2.5k papers, which have received a total of 172.6k indexed citations . Scholars at this organization have produced 413 papers in Signal Processing, 1.1k papers in Artificial Intelligence, 753 papers in Computer Networks and Communications, 131 papers in Hardware and Architecture and 249 papers in Computational Theory and Mathematics on the topics of Speech Recognition and Synthesis (251 papers), Speech and Audio Processing (215 papers), Natural Language Processing Techniques (193 papers), Internet Traffic Analysis and Secure E-voting (181 papers), Network Security and Intrusion Detection (180 papers), Music and Audio Processing (172 papers), Network Traffic and Congestion Control (150 papers) and Topic Modeling (126 papers). Their work is cited by papers focused on Computer Networks and Communications (64.8k citations), Signal Processing (23.9k citations), Artificial Intelligence (62.2k citations), Computer Vision and Pattern Recognition (29.8k citations) and Information Systems (19.9k citations). Authors at International Computer Science Institute collaborate with scholars in United States, Germany and Israel and have published in prestigious journals including ACM SIGCOMM Computer Communication Review, Lecture notes in computer science, Journal of Computational Biology, Proceedings of the National Academy of Sciences and IEEE Transactions on Audio Speech and Language Processing. Some of International Computer Science Institute's most productive authors include Scott Shenker, Vern Paxson, Thomas Hofmann, Richard M. Karp, Trevor Darrell, Michael Luby, Sylvia Ratnasamy, Mark Handley, Kate Saenko and N. Morgan.

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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