Arindam Jati
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Co-authors
- Panayiotis GeorgiouPrashanth Gurunath ShivakumarJayant KalagnanamMd NasirPhanwadee SinthongAmit KonarAtulya K. NagarAnwesha Khasnobish
- Topics
- Speech and Audio Processing (8 papers)Music and Audio Processing (6 papers)Speech Recognition and Synthesis (6 papers)
- Journals
- Journal of MicroscopyMedical & Biological Engineering & ComputingIEEE/ACM Transactions on Audio Speech and Language Processing
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Arindam Jati
24 papers receiving 379 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 148
- Signal Processing 124
- Experimental and Cognitive Psychology 93
- Computer Vision and Pattern Recognition 89
- Cognitive Neuroscience 72
Countries citing papers authored by Arindam Jati
This map shows the geographic impact of Arindam Jati'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 Arindam Jati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arindam Jati more than expected).
Fields of papers citing papers by Arindam Jati
This network shows the impact of papers produced by Arindam Jati. 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 Arindam Jati. The network helps show where Arindam Jati may publish in the future.
Co-authorship network of co-authors of Arindam Jati
This figure shows the co-authorship network connecting the top 25 collaborators of Arindam Jati. A scholar is included among the top collaborators of Arindam Jati based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arindam Jati. Arindam Jati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecastingbreakdown → | 98 |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 15 | |
| 10 | 36 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 98 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 33 | |
| 18 | 6 | |
| 19 | 8 | |
| 20 | 3 |
About Arindam Jati
Arindam Jati is a scholar working on Signal Processing, Cognitive Neuroscience and Artificial Intelligence, having authored 25 papers that have together received 392 indexed citations. Recurring topics across this work include Speech and Audio Processing (8 papers), Music and Audio Processing (6 papers) and Speech Recognition and Synthesis (6 papers). The work is most often cited by research in Signal Processing (124 citations), Experimental and Cognitive Psychology (93 citations) and Artificial Intelligence (148 citations). Arindam Jati has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Panayiotis Georgiou, Prashanth Gurunath Shivakumar, Jayant Kalagnanam, Md Nasir, Phanwadee Sinthong, Amit Konar, Atulya K. Nagar, Anwesha Khasnobish, D. N. Tibarewala and Garima Singh. Their work appears in journals such as Journal of Microscopy, Medical & Biological Engineering & Computing and IEEE/ACM Transactions on Audio Speech and Language Processing.
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.