Izhak Shafran

4.6k total citations
73 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 73 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 France. Izhak Shafran's co-authors include Gregory D. Hager, David D. Yuh, Meysam Asgari, Henry Lin, Brian Roark, Mehryar Mohri, Mari Ostendorf, Michael Riley, Tara N. Sainath and Ehsan Variani 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

71 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Izhak Shafran United States	21	1.0k	636	247	211	196	73	1.7k
M. Hariharan Malaysia	25	688 0.7×	686 1.1×	105 0.4×	282 1.3×	302 1.5×	134	2.0k
Minsoo Hahn South Korea	18	311 0.3×	441 0.7×	54 0.2×	195 0.9×	184 0.9×	138	1.1k
Roberto Gil‐Pita Spain	19	163 0.2×	227 0.4×	117 0.5×	142 0.7×	231 1.2×	106	959
Kun Qian China	26	406 0.4×	560 0.9×	26 0.1×	173 0.8×	149 0.8×	149	2.0k
Stuart Cunningham United Kingdom	13	606 0.6×	903 1.4×	25 0.1×	261 1.2×	29 0.1×	49	1.4k
Juan Ignacio Godino-Llorente Spain	34	1.6k 1.6×	1.4k 2.2×	39 0.2×	202 1.0×	225 1.1×	129	3.1k
Samarendra Dandapat India	27	335 0.3×	711 1.1×	36 0.1×	590 2.8×	875 4.5×	198	2.9k
Margaret Lech Australia	22	794 0.8×	748 1.2×	23 0.1×	475 2.3×	139 0.7×	99	2.2k
Seyed Kamaledin Setarehdan Iran	25	241 0.2×	171 0.3×	168 0.7×	261 1.2×	499 2.5×	138	2.1k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wang, Mingqiu, Gang Li, Nan Du, et al.. (2025). Knowledge Graph Reasoning With Self-Supervised Reinforcement Learning. IEEE Transactions on Audio Speech and Language Processing. 33. 1508–1519.

2.

Shafran, Izhak, et al.. (2023). MUX-PLMs: Pre-training Language Models with Data Multiplexing. 196–211. 1 indexed citations

3.

Narasimhan, Karthik, et al.. (2023). Tree of Thoughts: Deliberate Problem Solving with Large Language Models. 11809–11822. 3 indexed citations

4.

Cao, Yuan, Raghav Gupta, Harrison Lee, et al.. (2023). AnyTOD: A Programmable Task-Oriented Dialog System. 16189–16204. 2 indexed citations

5.

Yu, Dian, Mingqiu Wang, Yuan Cao, et al.. (2022). Knowledge-grounded Dialog State Tracking. 3428–3435. 2 indexed citations

6.

Shafran, Izhak, Tom Bagby, & RJ Skerry-Ryan. (2018). Complex Evolution Recurrent Neural Networks (ceRNNs). 5854–5858. 6 indexed citations

7.

Asgari, Meysam, et al.. (2014). Inferring social contexts from audio recordings using deep neural networks. PubMed. 12. 1–6. 5 indexed citations

8.

Asgari, Meysam, et al.. (2014). Fully automated assessment of the severity of Parkinson's disease from speech. Computer Speech & Language. 29(1). 172–185. 85 indexed citations

9.

Asgari, Meysam, Izhak Shafran, & Lisa Sheeber. (2014). Inferring clinical depression from speech and spoken utterances. PubMed. 2014. 1–5. 31 indexed citations

10.

Shafran, Izhak, et al.. (2013). Discriminative Joint Modeling of Lexical Variation and Acoustic Confusion for Automated Narrative Retelling Assessment. North American Chapter of the Association for Computational Linguistics. 211–220. 14 indexed citations

11.

Shafran, Izhak, et al.. (2013). Inferring social nature of conversations from words: Experiments on a corpus of everyday telephone conversations. Computer Speech & Language. 28(1). 224–239. 4 indexed citations

12.

Iyer, Swathi, Izhak Shafran, David S. Grayson, et al.. (2013). Inferring functional connectivity in MRI using Bayesian network structure learning with a modified PC algorithm. NeuroImage. 75. 165–175. 29 indexed citations

13.

Asgari, Meysam, et al.. (2012). Robust detection of voiced segments in samples of everyday conversations using unsupervised HMMS. PubMed. 2012. 438–442. 6 indexed citations

14.

Roark, Brian, Richard Sproat, & Izhak Shafran. (2011). Lexicographic Semirings for Exact Automata Encoding of Sequence Models. Meeting of the Association for Computational Linguistics. 1–5. 10 indexed citations

15.

Shafran, Izhak, et al.. (2010). Predicting severity of Parkinson's disease from speech. PubMed. 2010. 5201–5204. 47 indexed citations

16.

Hosom, John-Paul, et al.. (2009). Classifying clear and conversational speech based on acoustic features. 1735–1738. 2 indexed citations

17.

Lin, Henry, Izhak Shafran, David D. Yuh, & Gregory D. Hager. (2006). Towards automatic skill evaluation: Detection and segmentation of robot-assisted surgical motions. Computer Aided Surgery. 11(5). 220–230. 84 indexed citations

18.

Lin, Henry, Izhak Shafran, David D. Yuh, & Gregory D. Hager. (2006). Towards automatic skill evaluation: Detection and segmentation of robot-assisted surgical motions. Computer Aided Surgery. 11(5). 220–230. 179 indexed citations

19.

Lin, Henry, et al.. (2005). Automatic Detection and Segmentation of Robot-Assisted Surgical Motions. Lecture notes in computer science. 8(Pt 1). 802–810. 54 indexed citations

20.

Shafran, Izhak, Mari Ostendorf, & Richard Wright. (2003). Prosody and phonetic variability: Lessons learned from acoustic model clustering. Arzneimittelforschung. 44(7). 899–908. 7 indexed citations

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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