Nima Mesgarani

13.3k total citations · 6 hit papers
121 papers, 7.0k citations indexed

About

Nima Mesgarani is a scholar working on Signal Processing, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Nima Mesgarani has authored 121 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Signal Processing, 59 papers in Cognitive Neuroscience and 54 papers in Artificial Intelligence. Recurrent topics in Nima Mesgarani's work include Speech and Audio Processing (59 papers), Music and Audio Processing (40 papers) and Neural dynamics and brain function (38 papers). Nima Mesgarani is often cited by papers focused on Speech and Audio Processing (59 papers), Music and Audio Processing (40 papers) and Neural dynamics and brain function (38 papers). Nima Mesgarani collaborates with scholars based in United States, France and Switzerland. Nima Mesgarani's co-authors include Yi Luo, Edward F. Chang, Shihab Shamma, Keith Johnson, Stephen V. David, Connie Cheung, Malcolm Slaney, Jonathan B. Fritz, Ashesh D. Mehta and Kristofer E. Bouchard and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Nima Mesgarani

112 papers receiving 6.7k citations

Hit Papers

Conv-TasNet: Surpassing Ideal Time–Frequenc... 2012 2026 2016 2021 2019 2012 2014 2014 2013 250 500 750 1000

Peers

Nima Mesgarani
Comparison fields: 5 of 130
  • Cognitive Neuroscience 4.3k
  • Signal Processing 3.3k
  • Artificial Intelligence 1.8k
  • Experimental and Cognitive Psychology 1.0k
  • Computational Mechanics 577
Replace Shihab Shamma with:
Shihab Shamma United States
Alain de Cheveigné France
Birger Kollmeier Germany
Brian C. J. Moore United Kingdom
Philipos C. Loizou United States
Roy D. Patterson United Kingdom
Thierry Dutoit Belgium
Eberhard Zwicker Germany
Barbara Shinn‐Cunningham United States
Brian R. Glasberg United Kingdom
Shihab Shamma United States View profile →
Citations per field, relative to Nima Mesgarani
Nima Mesgarani · 1×
Citations per year, relative to Nima Mesgarani
Nima Mesgarani · 1×

Countries citing papers authored by Nima Mesgarani

Since Specialization
Citations

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

Fields of papers citing papers by Nima Mesgarani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nima Mesgarani

This figure shows the co-authorship network connecting the top 25 collaborators of Nima Mesgarani. A scholar is included among the top collaborators of Nima Mesgarani 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 Nima Mesgarani. Nima Mesgarani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 7
5 0
6 2
7 10
8 0
9 7
10 17
11 50
12 29
13 33
14 45
15 62
16
Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation breakdown →
1151
17 54
18 157
19
TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation.
41
20 94

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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