Prithviraj Kabisatpathy
- Signal Processing top 5%
- Speech and Audio Processing 4
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- Emotion and Mood Recognition 4
- Hardware and Architecture top 10%
- VLSI and Analog Circuit Testing 5
- Artificial Intelligence top 10%
- Neural Networks and Applications 2
- Speech Recognition and Synthesis 2
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- Integrated Circuits and Semiconductor Failure Analysis 5
- Power Quality and Harmonics 3
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- Machine Fault Diagnosis Techniques 2
- Co-authors
- Aurobinda RoutrayMonorama SwainJogendra Nath KunduMihir Narayan MohantyAnurag KumarAshok Kumar PradhanSatyasis MishraVinay Kumar
- Journals
- Complex & Intelligent Systems (1 paper)International Journal of Control Automation and Systems (1 paper)IEEE Circuits and Devices Magazine (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Prithviraj Kabisatpathy
14 papers receiving 340 citations
Peers
Comparison fields: 5 of 57
- Signal Processing 165
- Experimental and Cognitive Psychology 193
- Hardware and Architecture 78
- Artificial Intelligence 107
- Pharmacy 16
Countries citing papers authored by Prithviraj Kabisatpathy
This map shows the geographic impact of Prithviraj Kabisatpathy'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 Prithviraj Kabisatpathy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prithviraj Kabisatpathy more than expected).
Fields of papers citing papers by Prithviraj Kabisatpathy
This network shows the impact of papers produced by Prithviraj Kabisatpathy. 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 Prithviraj Kabisatpathy. The network helps show where Prithviraj Kabisatpathy may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Prithviraj Kabisatpathy, 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 | 2022 | 14 | |
| 2 | 2018 | 217 | |
| 3 | 2018 | 1 | |
| 4 | 2016 | 2 | |
| 5 | 2016 | 7 | |
| 6 | 2015 | 19 | |
| 7 | 2012 | 4 | |
| 8 | 2011 | 1 | |
| 9 | 2010 | 1 | |
| 10 | 2010 | 2 | |
| 11 | 2005 | 69 | |
| 12 | 2005 | 11 | |
| 13 | 2004 | 4 | |
| 14 | FAULT DETECTION AND DIAGNOSIS IN ANALOG INTEGRATED CIRCUITS USING ARTIFICIAL NEURAL NETWORK IN A PSEUDORANDOM TESTING SCHEME | 2004 | 5 |
| 15 | 2003 | 10 |
About Prithviraj Kabisatpathy
Prithviraj Kabisatpathy is a scholar working on Hardware and Architecture, Signal Processing and Pharmacy, having authored 15 papers that have together received 367 indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (5 papers), VLSI and Analog Circuit Testing (5 papers), Emotion and Mood Recognition (4 papers), Speech and Audio Processing (4 papers), Power Quality and Harmonics (3 papers), Machine Fault Diagnosis Techniques (2 papers), Neural Networks and Applications (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Signal Processing (165 citations), Experimental and Cognitive Psychology (193 citations) and Hardware and Architecture (78 citations). Prithviraj Kabisatpathy has collaborated with scholars based in India and United States. Frequent co-authors include Aurobinda Routray, Monorama Swain, Jogendra Nath Kundu, Mihir Narayan Mohanty, Anurag Kumar, Ashok Kumar Pradhan, Satyasis Mishra, Vinay Kumar and Rutuparna Panda. Their work appears in journals such as Complex & Intelligent Systems, International Journal of Control Automation and Systems and IEEE Circuits and Devices Magazine.
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.