Izhak Shafran

57 papers and 1.2k indexed citations i.

About

Izhak Shafran is a scholar working on Artificial Intelligence, Signal Processing and Physiology. According to data from OpenAlex, Izhak Shafran has authored 57 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 23 papers in Signal Processing and 6 papers in Physiology. Recurrent topics in Izhak Shafran’s work include Speech Recognition and Synthesis (29 papers), Topic Modeling (24 papers) and Natural Language Processing Techniques (21 papers). Izhak Shafran is often cited by papers focused on Speech Recognition and Synthesis (29 papers), Topic Modeling (24 papers) and Natural Language Processing Techniques (21 papers). Izhak Shafran collaborates with scholars based in United States, Türkiye and United Kingdom. Izhak Shafran's co-authors include Gregory D. Hager, David D. Yuh, Meysam Asgari, Henry Lin, Brian Roark, Arun Narayanan, Michiel Bacchiani, Ehsan Variani, Hagen Soltau and Tara N. Sainath and has published in prestigious journals such as NeuroImage, Lecture notes in computer science and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Izhak Shafran i

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.

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).

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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2025