Shruti Palaskar
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
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- Hearing Impairment and Communication
Papers in
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- Natural Language Processing Techniques 7
- Topic Modeling 4
- Speech Recognition and Synthesis 4
- Advanced Text Analysis Techniques 1
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- Multimodal Machine Learning Applications 3
- Co-authors
- Florian Metze (8 shared papers)Amanda Duarte (2 shared papers)Deepti Ghadiyaram (1 shared paper)Jordi Torres (1 shared paper)Xavier Giró-i-Nieto (1 shared paper)Alan W. Black (4 shared papers)Roshan Sharma (1 shared paper)Ruslan Salakhutdinov (1 shared paper)
- Journals
- IEEE Journal of Selected Topics in Signal Processing (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Computer Speech & Language (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)QRU Quaderns de Recerca en Urbanisme (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Shruti Palaskar
9 papers receiving 156 citations
Peers
Comparison fields: 5 of 23
- Human-Computer Interaction 96
- Developmental and Educational Psychology 71
- Computer Vision and Pattern Recognition 77
- Artificial Intelligence 58
- Signal Processing 16
Countries citing papers authored by Shruti Palaskar
This map shows the geographic impact of Shruti Palaskar'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 Shruti Palaskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shruti Palaskar more than expected).
Fields of papers citing papers by Shruti Palaskar
This network shows the impact of papers produced by Shruti Palaskar. 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 Shruti Palaskar. The network helps show where Shruti Palaskar may publish in the future.
Co-authors
The 25 scholars most cited alongside Shruti Palaskar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 105 | |
| 2 | 2022 | 15 | |
| 3 | 2020 | 13 | |
| 4 | 2020 | 11 | |
| 5 | 2021 | 7 | |
| 6 | 2020 | 4 | |
| 7 | 2018 | 4 | |
| 8 | 2020 | 2 | |
| 9 | 2022 | 2 | |
| 10 | 2024 | 1 |
About Shruti Palaskar
Shruti Palaskar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction and Developmental and Educational Psychology, having authored 10 papers that have together received 164 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (4 papers), Speech Recognition and Synthesis (4 papers), Multimodal Machine Learning Applications (3 papers), Music and Audio Processing (2 papers), Advanced Text Analysis Techniques (1 paper), Hearing Impairment and Communication (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Human-Computer Interaction (96 citations), Developmental and Educational Psychology (71 citations), Computer Vision and Pattern Recognition (77 citations), Artificial Intelligence (58 citations) and Signal Processing (16 citations). Shruti Palaskar has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Florian Metze, Amanda Duarte, Deepti Ghadiyaram, Jordi Torres, Xavier Giró-i-Nieto, Alan W. Black, Roshan Sharma, Ruslan Salakhutdinov, Ramon Sanabria and Mark Hasegawa‐Johnson. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE/ACM Transactions on Audio Speech and Language Processing, Computer Speech & Language, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and QRU Quaderns de Recerca en Urbanisme.
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.