Sameer Khurana

700 citations
31 papers · 440 · h-index 10

Impact in

Papers in

    • Music and Audio Processing 13
    • Speech and Audio Processing 7
    • Blind Source Separation Techniques 1
    • Speech Recognition and Synthesis 21
    • Natural Language Processing Techniques 14
    • Topic Modeling 6
    • Speech and dialogue systems 3

Sameer Khurana

28 papers receiving 423 citations

Peers

Sameer Khurana
Comparison fields: 5 of 74
  • Signal Processing 107
  • Artificial Intelligence 213
  • Molecular Biology 126
  • Computational Theory and Mathematics 23
  • Experimental and Cognitive Psychology 15
Replace Hari Om with:
Hari Om India
Seokjun Seo South Korea
Catherine J. Breslin United Kingdom
T. A. Hughes United States
Bihter Daş Türkiye
Diamantino Caseiro Portugal
Dukka B. KC United States
Jeffrey Baumes United States
Siddharth Jain United States
Danilo Horta Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Sameer Khurana

Since Specialization
Citations

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

Fields of papers citing papers by Sameer Khurana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sameer Khurana, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sameer Khurana Line = papers co-authored together Sameer Khurana links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018165
2 201640
3 202337
4 201828
5 202022
6 202221
7 202016
8 201714
9 201911
10 202410
11 202310
12 20238
13 20228
14 20167
15 20207
16 20245
17 20175
18 20244
19 20224
20 20233

About Sameer Khurana

Sameer Khurana is a scholar working on Signal Processing, Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 31 papers that have together received 440 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (21 papers), Natural Language Processing Techniques (14 papers), Music and Audio Processing (13 papers), Speech and Audio Processing (7 papers), Topic Modeling (6 papers), Speech and dialogue systems (3 papers), Blind Source Separation Techniques (1 paper) and Robotics and Automated Systems (1 paper). The work is most often cited by research in Signal Processing (107 citations), Artificial Intelligence (213 citations), Molecular Biology (126 citations), Computational Theory and Mathematics (23 citations) and Experimental and Cognitive Psychology (15 citations). Sameer Khurana has collaborated with scholars based in United States, France and Qatar. Frequent co-authors include James Glass, Halima Bensmail, Raghvendra Mall, Khalid B. Kunji, Reda Rawi, Gwo‐Yu Chuang, Ahmed M. Abdelatty Ali, Antoine Laurent, Leonid Karlinsky and Yuan Gong. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Signal Processing Letters, IEEE Journal of Selected Topics in Signal Processing and IEEE Open Journal of Signal Processing.

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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