Trilochan Panigrahi
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Computational Mechanics top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Shivnarayan PatidarGanapati PandaB. MulgrewSaran Srihari Sripada PandaSaidi Reddy ParneSamrat L. SabatAnkit DubeySuman Gandi
- Topics
- Speech and Audio Processing (27 papers)Advanced Adaptive Filtering Techniques (24 papers)Blind Source Separation Techniques (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Trilochan Panigrahi
69 papers receiving 590 citations
Peers
Comparison fields: 5 of 78
- Signal Processing 222
- Electrical and Electronic Engineering 209
- Cognitive Neuroscience 138
- Computational Mechanics 115
- Computer Networks and Communications 110
Countries citing papers authored by Trilochan Panigrahi
This map shows the geographic impact of Trilochan Panigrahi'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 Trilochan Panigrahi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trilochan Panigrahi more than expected).
Fields of papers citing papers by Trilochan Panigrahi
This network shows the impact of papers produced by Trilochan Panigrahi. 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 Trilochan Panigrahi. The network helps show where Trilochan Panigrahi may publish in the future.
Co-authorship network of co-authors of Trilochan Panigrahi
This figure shows the co-authorship network connecting the top 25 collaborators of Trilochan Panigrahi. A scholar is included among the top collaborators of Trilochan Panigrahi 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 Trilochan Panigrahi. Trilochan Panigrahi 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 | 0 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 26 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 11 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 2 |
About Trilochan Panigrahi
Trilochan Panigrahi is a scholar working on Signal Processing, Computational Mechanics and Computer Networks and Communications, having authored 77 papers that have together received 612 indexed citations. Recurring topics across this work include Speech and Audio Processing (27 papers), Advanced Adaptive Filtering Techniques (24 papers) and Blind Source Separation Techniques (16 papers). The work is most often cited by research in Signal Processing (222 citations), Cognitive Neuroscience (138 citations) and Computational Mechanics (115 citations). Trilochan Panigrahi has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Shivnarayan Patidar, Ganapati Panda, B. Mulgrew, Saran Srihari Sripada Panda, Saidi Reddy Parne, Samrat L. Sabat, Ankit Dubey, Suman Gandi, Babita Majhi and Bishnu Prasad Mishra. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.