Simran Khanuja
Impact in
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
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- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Topic Modeling 7
- Natural Language Processing Techniques 7
- Speech Recognition and Synthesis 3
- Text Readability and Simplification 1
- Sentiment Analysis and Opinion Mining 1
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- Computer Graphics and Visualization Techniques 1
- Co-authors
- Vera Axelrod (2 shared papers)Clara E. Rivera (1 shared paper)Min Ma (1 shared paper)Yu Zhang (1 shared paper)Siddharth Dalmia (1 shared paper)Ankur Bapna (2 shared papers)Jason Riesa (2 shared papers)Alexis Conneau (2 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Interspeech 2022 (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesHong KongUnited Arab Emirates
In The Last Decade
Simran Khanuja
11 papers receiving 141 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 130
- Signal Processing 30
- Computer Vision and Pattern Recognition 11
- Language and Linguistics 5
- Linguistics and Language 2
Countries citing papers authored by Simran Khanuja
This map shows the geographic impact of Simran Khanuja'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 Simran Khanuja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simran Khanuja more than expected).
Fields of papers citing papers by Simran Khanuja
This network shows the impact of papers produced by Simran Khanuja. 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 Simran Khanuja. The network helps show where Simran Khanuja may publish in the future.
Co-authors
The 25 scholars most cited alongside Simran Khanuja, 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 | 2023 | 104 | |
| 2 | 2022 | 14 | |
| 3 | 2023 | 9 | |
| 4 | 2020 | 7 | |
| 5 | 2023 | 7 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2019 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2026 | 0 |
About Simran Khanuja
Simran Khanuja is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Visual Arts and Performing Arts and Experimental and Cognitive Psychology, having authored 13 papers that have together received 162 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (7 papers), Speech Recognition and Synthesis (3 papers), Text Readability and Simplification (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Generative Adversarial Networks and Image Synthesis (1 paper), Computer Graphics and Visualization Techniques (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (130 citations), Signal Processing (30 citations), Computer Vision and Pattern Recognition (11 citations), Language and Linguistics (5 citations) and Linguistics and Language (2 citations). Simran Khanuja has collaborated with scholars based in United States, Hong Kong and United Arab Emirates. Frequent co-authors include Vera Axelrod, Clara E. Rivera, Min Ma, Yu Zhang, Siddharth Dalmia, Ankur Bapna, Jason Riesa, Alexis Conneau, Partha Talukdar and Sebastian Ruder. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Interspeech 2022, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and arXiv (Cornell University).
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.