Izhak Shafran

123 total papers · 4.6k total citations
72 papers, 1.7k citations indexed

About

Izhak Shafran is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Izhak Shafran has authored 72 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 31 papers in Signal Processing and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Izhak Shafran's work include Speech Recognition and Synthesis (40 papers), Natural Language Processing Techniques (27 papers) and Topic Modeling (26 papers). Izhak Shafran is often cited by papers focused on Speech Recognition and Synthesis (40 papers), Natural Language Processing Techniques (27 papers) and Topic Modeling (26 papers). Izhak Shafran collaborates with scholars based in United States, Türkiye and China. Izhak Shafran's co-authors include Gregory D. Hager, David D. Yuh, Meysam Asgari, Henry Lin, Brian Roark, Mehryar Mohri, Mari Ostendorf, Michael Riley, Ehsan Variani and Tara N. Sainath and has published in prestigious journals such as NeuroImage, Computational Linguistics and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Izhak Shafran

70 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Izhak Shafran 1.0k 634 246 210 196 72 1.7k
M. Hariharan 687 0.7× 683 1.1× 105 0.4× 280 1.3× 301 1.5× 133 2.0k
Mark A. Clements 754 0.7× 826 1.3× 36 0.1× 286 1.4× 97 0.5× 117 1.8k
Rui Pedro Paiva 270 0.3× 672 1.1× 174 0.7× 254 1.2× 285 1.5× 92 1.6k
Keisuke Nakamura 334 0.3× 531 0.8× 72 0.3× 230 1.1× 196 1.0× 142 1.9k
Kun Qian 399 0.4× 558 0.9× 24 0.1× 172 0.8× 143 0.7× 149 2.0k
Zhiyong Wu 1.4k 1.4× 980 1.5× 45 0.2× 395 1.9× 40 0.2× 205 2.3k
George R. Wodicka 303 0.3× 418 0.7× 57 0.2× 48 0.2× 185 0.9× 62 2.0k
Donald S. Williamson 507 0.5× 1.0k 1.6× 84 0.3× 71 0.3× 53 0.3× 68 1.9k
Visar Berisha 587 0.6× 312 0.5× 22 0.1× 131 0.6× 92 0.5× 155 2.1k
Giovanna Sannino 559 0.6× 258 0.4× 33 0.1× 316 1.5× 334 1.7× 77 1.7k

Countries citing papers authored by Izhak Shafran

Since Specialization
Citations

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

Fields of papers citing papers by Izhak Shafran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Izhak Shafran

This figure shows the co-authorship network connecting the top 25 collaborators of Izhak Shafran. A scholar is included among the top collaborators of Izhak Shafran 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 Izhak Shafran. Izhak Shafran 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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