Daniel M. Yellin

About

Daniel M. Yellin is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Daniel M. Yellin has authored 32 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 9 papers in Computational Theory and Mathematics. Recurrent topics in Daniel M. Yellin’s work include Blind Source Separation Techniques (5 papers), Algorithms and Data Compression (5 papers) and Logic, programming, and type systems (5 papers). Daniel M. Yellin is often cited by papers focused on Blind Source Separation Techniques (5 papers), Algorithms and Data Compression (5 papers) and Logic, programming, and type systems (5 papers). Daniel M. Yellin collaborates with scholars based in United States, Israel and Singapore. Daniel M. Yellin's co-authors include Robert E. Strom, E. Weinstein, Wai Fong Boh, B. Porat, Rob Strom, Charanjit S. Jutla, David Mandelin, Doug Kimelman, Shlomo Shamai and B. Friedlander and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Signal Processing and IEEE Transactions on Vehicular Technology.

In The Last Decade

Co-authorship network of co-authors of Daniel M. Yellin i

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Fields of papers citing papers by Daniel M. Yellin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Yellin. 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 Daniel M. Yellin. The network helps show where Daniel M. Yellin may publish in the future.

Countries citing papers authored by Daniel M. Yellin

Since Specialization

Citations

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