Amita Dev
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Speech Recognition and Synthesis 32
- Natural Language Processing Techniques 11
- Topic Modeling 6
-
- Speech and Audio Processing 32
- Music and Audio Processing 19
- Co-authors
- Poonam Bansal (29 shared papers)Anurag Jain (7 shared papers)Arun Sharma (15 shared papers)Ritu Rani (17 shared papers)Khushboo Jain (2 shared papers)Shyam Sunder Agrawal (4 shared papers)Deepak Kumar Sharma (5 shared papers)S. S. Agrawal (4 shared papers)
- Journals
- AI & Society (3 papers)Wireless Personal Communications (2 papers)Multimedia Tools and Applications (2 papers)Sadhana (1 paper)Social Network Analysis and Mining (1 paper)
- Partner nations
- IndiaSwitzerland
In The Last Decade
Amita Dev
70 papers receiving 275 citations
Peers
Comparison fields: 5 of 66
- Signal Processing 124
- Artificial Intelligence 167
- Experimental and Cognitive Psychology 34
- Health Informatics 3
- Computer Networks and Communications 44
Countries citing papers authored by Amita Dev
This map shows the geographic impact of Amita Dev'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 Amita Dev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amita Dev more than expected).
Fields of papers citing papers by Amita Dev
This network shows the impact of papers produced by Amita Dev. 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 Amita Dev. The network helps show where Amita Dev may publish in the future.
Co-authors
The 22 scholars most cited alongside Amita Dev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 15 | |
| 2 | 2020 | 14 | |
| 3 | 2010 | 13 | |
| 4 | 2021 | 12 | |
| 5 | 2021 | 11 | |
| 6 | 2008 | 11 | |
| 7 | 2018 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2012 | 9 | |
| 10 | 2008 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2013 | 7 | |
| 14 | 2003 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2022 | 6 | |
| 18 | Speech Synthesis: A Review | 2013 | 6 |
| 19 | 2020 | 6 | |
| 20 | 2022 | 6 |
About Amita Dev
Amita Dev is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications and Experimental and Cognitive Psychology, having authored 76 papers that have together received 288 indexed citations. Recurring topics across this work include Speech and Audio Processing (32 papers), Speech Recognition and Synthesis (32 papers), Music and Audio Processing (19 papers), Natural Language Processing Techniques (11 papers), Emotion and Mood Recognition (6 papers), Topic Modeling (6 papers), Advanced Data Compression Techniques (4 papers) and Opportunistic and Delay-Tolerant Networks (4 papers). The work is most often cited by research in Signal Processing (124 citations), Artificial Intelligence (167 citations), Experimental and Cognitive Psychology (34 citations), Health Informatics (3 citations) and Computer Networks and Communications (44 citations). Amita Dev has collaborated with scholars based in India and Switzerland. Frequent co-authors include Poonam Bansal, Anurag Jain, Arun Sharma, Ritu Rani, Khushboo Jain, Shyam Sunder Agrawal, Deepak Kumar Sharma, S. S. Agrawal, Deepak Gupta and Shri Kant. Their work appears in journals such as AI & Society, Wireless Personal Communications, Multimedia Tools and Applications, Sadhana and Social Network Analysis and Mining.
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.