Tai Jin

About

Tai Jin is a scholar working on Computer Networks and Communications, Information Systems and Industrial relations. According to data from OpenAlex, Tai Jin has authored 6 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 1 paper in Information Systems and 0 papers in Industrial relations. Recurrent topics in Tai Jin’s work include Caching and Content Delivery (5 papers), Peer-to-Peer Network Technologies (4 papers) and Network Traffic and Congestion Control (3 papers). Tai Jin is often cited by papers focused on Caching and Content Delivery (5 papers), Peer-to-Peer Network Technologies (4 papers) and Network Traffic and Congestion Control (3 papers). Tai Jin collaborates with scholars based in United States and Canada. Tai Jin's co-authors include Martin Arlitt, David Mosberger, Rich Friedrich, John Dilley, Ludmila Cherkasova, Martin Arlitt and Jerome Rolia and has published in prestigious journals such as IEEE Network, Performance Evaluation and ACM SIGMETRICS Performance Evaluation Review.

In The Last Decade

Co-authorship network of co-authors of Tai Jin i

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Fields of papers citing papers by Tai Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tai Jin

Since Specialization

Citations

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

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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