Joseph Polifroni

85 total papers · 2.4k total citations
67 papers, 1.5k citations indexed

About

Joseph Polifroni is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Joseph Polifroni has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Signal Processing. Recurrent topics in Joseph Polifroni's work include Speech and dialogue systems (50 papers), Natural Language Processing Techniques (30 papers) and Multi-Agent Systems and Negotiation (15 papers). Joseph Polifroni is often cited by papers focused on Speech and dialogue systems (50 papers), Natural Language Processing Techniques (30 papers) and Multi-Agent Systems and Negotiation (15 papers). Joseph Polifroni collaborates with scholars based in United States, United Kingdom and Finland. Joseph Polifroni's co-authors include Stephanie Seneff, James Glass, Victor W. Zue, Timothy J. Hazen, Christine Pao, Lee Hetherington, David Goddeau, David Goodine, Michael Phillips and Helen Meng and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Speech and Audio Processing and Speech Communication.

In The Last Decade

Joseph Polifroni

63 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joseph Polifroni 1.4k 150 101 85 76 67 1.5k
Klaus Zechner 1.3k 1.0× 263 1.8× 145 1.4× 45 0.5× 101 1.3× 81 1.6k
Allen L. Gorin 1.1k 0.8× 132 0.9× 47 0.5× 51 0.6× 72 0.9× 63 1.2k
Ian Lane 1.0k 0.8× 211 1.4× 61 0.6× 39 0.5× 201 2.6× 81 1.2k
Gina‐Anne Levow 973 0.7× 132 0.9× 56 0.6× 89 1.0× 107 1.4× 78 1.1k
Candace Kamm 819 0.6× 123 0.8× 101 1.0× 195 2.3× 58 0.8× 37 1.4k
Alexander Gruenstein 923 0.7× 406 2.7× 47 0.5× 78 0.9× 111 1.5× 37 1.1k
Marie Meteer 1.3k 1.0× 73 0.5× 97 1.0× 59 0.7× 59 0.8× 33 1.5k
Antoine Raux 1.2k 0.9× 66 0.4× 41 0.4× 154 1.8× 137 1.8× 46 1.3k
Brian Strope 1.2k 0.9× 211 1.4× 183 1.8× 48 0.6× 216 2.8× 30 1.5k
David Griol 701 0.5× 83 0.6× 113 1.1× 185 2.2× 118 1.6× 96 1.1k

Countries citing papers authored by Joseph Polifroni

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Polifroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Polifroni

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Polifroni. A scholar is included among the top collaborators of Joseph Polifroni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joseph Polifroni. Joseph Polifroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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