Prachi Jain
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Topic Modeling 6
- Advanced Graph Neural Networks 4
- Natural Language Processing Techniques 4
-
- Advanced Data Compression Techniques 6
- Co-authors
- Mausam Mausam (5 shared papers)Soumen Chakrabarti (4 shared papers)Sanjay Sharma (1 shared paper)Sachin Kajarekar (1 shared paper)Daniel P. W. Ellis (1 shared paper)Hynek Heřmanský (1 shared paper)Pankaj Kumar (1 shared paper)Sunayana Sitaram (3 shared papers)
- Journals
- IEEE Transactions on Consumer Electronics (1 paper)Journal of Visualized Experiments (1 paper)IEEE Transactions on Electromagnetic Compatibility (1 paper)IETE Journal of Research (3 papers)Journal of Physics Conference Series (1 paper)
- Partner nations
- IndiaUnited StatesBelgium
In The Last Decade
Prachi Jain
21 papers receiving 209 citations
Peers
Comparison fields: 5 of 58
- Computational Mathematics 4
- Signal Processing 59
- Health Informatics 7
- Artificial Intelligence 167
- Management Science and Operations Research 28
Countries citing papers authored by Prachi Jain
This map shows the geographic impact of Prachi Jain'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 Prachi Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prachi Jain more than expected).
Fields of papers citing papers by Prachi Jain
This network shows the impact of papers produced by Prachi Jain. 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 Prachi Jain. The network helps show where Prachi Jain may publish in the future.
Co-authors
The 23 scholars most cited alongside Prachi Jain, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 48 | |
| 2 | 2002 | 47 | |
| 3 | 2020 | 46 | |
| 4 | 2018 | 33 | |
| 5 | 1992 | 12 | |
| 6 | 2022 | 10 | |
| 7 | 2013 | 8 | |
| 8 | 2022 | 5 | |
| 9 | 2024 | 5 | |
| 10 | 2016 | 5 | |
| 11 | 2012 | 3 | |
| 12 | Distributed Speech Recognition | 2002 | 2 |
| 13 | 2018 | 2 | |
| 14 | 2011 | 2 | |
| 15 | 2024 | 2 | |
| 16 | A Survey on Single Image Super-resolution | 2017 | 1 |
| 17 | 2021 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2018 | 1 |
About Prachi Jain
Prachi Jain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Biomedical Engineering, having authored 28 papers that have together received 237 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Advanced Data Compression Techniques (6 papers), Video Coding and Compression Technologies (5 papers), Digital Filter Design and Implementation (5 papers), Advanced Graph Neural Networks (4 papers), Natural Language Processing Techniques (4 papers), Speech and Audio Processing (3 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Computational Mathematics (4 citations), Signal Processing (59 citations), Health Informatics (7 citations), Artificial Intelligence (167 citations) and Management Science and Operations Research (28 citations). Prachi Jain has collaborated with scholars based in India, United States and Belgium. Frequent co-authors include Mausam Mausam, Soumen Chakrabarti, Sanjay Sharma, Sachin Kajarekar, Daniel P. W. Ellis, Hynek Heřmanský, Pankaj Kumar, Sunayana Sitaram, Akshay Nambi and Mohamed Ahmed. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Journal of Visualized Experiments, IEEE Transactions on Electromagnetic Compatibility, IETE Journal of Research and Journal of Physics Conference Series.
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.