Mousmita Sarma

400 citations
30 papers · 221 · h-index 8

Impact in

Papers in

    • Speech Recognition and Synthesis 21
    • Neural Networks and Applications 8
    • Natural Language Processing Techniques 2
    • Speech and Audio Processing 18
    • Blind Source Separation Techniques 8
    • Music and Audio Processing 6

Mousmita Sarma

27 papers receiving 204 citations

Peers

Mousmita Sarma
Comparison fields: 5 of 36
  • Signal Processing 175
  • Experimental and Cognitive Psychology 83
  • Artificial Intelligence 157
  • Pharmacy 9
  • Computational Mathematics 1
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Citations per field
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Citations per year

Countries citing papers authored by Mousmita Sarma

Since Specialization
Citations

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

Fields of papers citing papers by Mousmita Sarma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Mousmita Sarma, 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 Mousmita Sarma Line = papers co-authored together Mousmita Sarma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201887
2 201314
3 201413
4 201312
5 201310
6 20098
7 20128
8 20208
9 20157
10 20166
11 20105
12 20195
13 20105
14 20134
15
Extracting Speaker's Gender, Accent, Age and Emotional State from Speech.
20183
16 20123
17 20133
18 20213
19 20122
20 20152

About Mousmita Sarma

Mousmita Sarma is a scholar working on Artificial Intelligence, Signal Processing, Control and Systems Engineering, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 30 papers that have together received 221 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (21 papers), Speech and Audio Processing (18 papers), Neural Networks and Applications (8 papers), Blind Source Separation Techniques (8 papers), Music and Audio Processing (6 papers), Natural Language Processing Techniques (2 papers), Phonetics and Phonology Research (2 papers) and Advanced Algorithms and Applications (2 papers). The work is most often cited by research in Signal Processing (175 citations), Experimental and Cognitive Psychology (83 citations), Artificial Intelligence (157 citations), Pharmacy (9 citations) and Computational Mathematics (1 citation). Mousmita Sarma has collaborated with scholars based in India. Frequent co-authors include Kandarpa Kumar Sarma, Nagendra Kumar Goel, Najim Dehak, Daniel Povey, Pegah Ghahremani, S. R. Mahadeva Prasanna, Ruizhe Huang, Matthew Wiesner, Ashish Arora and Leibny Paola Garcia. Their work appears in journals such as Journal of Artificial Intelligence and Soft Computing Research, Applied Soft Computing, IEEE Intelligent Systems, International Journal of Speech Technology and Applied Computational Intelligence and Soft Computing.

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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