Jay Mahadeokar

68 total papers · 783 total citations
28 papers, 365 citations indexed

About

Jay Mahadeokar is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Jay Mahadeokar has authored 28 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 11 papers in Signal Processing and 2 papers in Computational Theory and Mathematics. Recurrent topics in Jay Mahadeokar's work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (10 papers) and Natural Language Processing Techniques (9 papers). Jay Mahadeokar is often cited by papers focused on Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (10 papers) and Natural Language Processing Techniques (9 papers). Jay Mahadeokar collaborates with scholars based in United States, Israel and India. Jay Mahadeokar's co-authors include Christian Fuegen, Michael L. Seltzer, Duc Le, Ozlem Kalinli, Yuan Shangguan, Chunxi Liu, Alex Xiao, Yongqiang Wang, Abdelrahman Mohamed and Julian Chan and has published in prestigious journals such as Journal of Combinatorial Optimization, Journal of Discrete Algorithms and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Jay Mahadeokar

23 papers receiving 316 citations

Author Peers

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

Author Last Decade Papers Cites
Jay Mahadeokar 318 197 23 11 10 28 365
Vitaly Lavrukhin 307 1.0× 211 1.1× 44 1.9× 14 1.3× 13 1.3× 20 367
Matt Shannon 317 1.0× 250 1.3× 26 1.1× 16 1.5× 5 0.5× 13 372
Sankaran Panchapagesan 320 1.0× 262 1.3× 38 1.7× 27 2.5× 16 1.6× 17 382
M. A. Anusuya 215 0.7× 179 0.9× 39 1.7× 24 2.2× 15 1.5× 22 299
Ananth Sankar 283 0.9× 184 0.9× 49 2.1× 7 0.6× 4 0.4× 25 320
Bo Li 320 1.0× 153 0.8× 39 1.7× 9 0.8× 10 1.0× 28 371
Mike Seltzer 260 0.8× 193 1.0× 45 2.0× 5 0.5× 5 0.5× 16 305
Piotr Żelasko 247 0.8× 196 1.0× 44 1.9× 25 2.3× 8 0.8× 33 330
Vineel Pratap 248 0.8× 119 0.6× 32 1.4× 17 1.5× 10 1.0× 16 307
Shabnam Ghaffarzadegan 177 0.6× 175 0.9× 35 1.5× 24 2.2× 6 0.6× 24 319

Countries citing papers authored by Jay Mahadeokar

Since Specialization
Citations

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

Fields of papers citing papers by Jay Mahadeokar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Mahadeokar

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