P. S. Sathidevi
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- V. K. GovindanP. P. DeepthiS. Dinesh NayakR GandhirajR. RajavelRavi Philip RajkumarAnand VinekarParkash Chand
- Topics
- Speech and Audio Processing (20 papers)Advanced Data Compression Techniques (11 papers)Speech Recognition and Synthesis (11 papers)
- Partner nations
- India
In The Last Decade
P. S. Sathidevi
67 papers receiving 556 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 219
- Signal Processing 215
- Artificial Intelligence 203
- Cognitive Neuroscience 142
- Radiology, Nuclear Medicine and Imaging 70
Countries citing papers authored by P. S. Sathidevi
This map shows the geographic impact of P. S. Sathidevi'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 P. S. Sathidevi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. S. Sathidevi more than expected).
Fields of papers citing papers by P. S. Sathidevi
This network shows the impact of papers produced by P. S. Sathidevi. 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 P. S. Sathidevi. The network helps show where P. S. Sathidevi may publish in the future.
Co-authorship network of co-authors of P. S. Sathidevi
This figure shows the co-authorship network connecting the top 25 collaborators of P. S. Sathidevi. A scholar is included among the top collaborators of P. S. Sathidevi 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 P. S. Sathidevi. P. S. Sathidevi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 23 | |
| 7 | 11 | |
| 8 | 19 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 31 | |
| 13 | 10 | |
| 14 | 45 | |
| 15 | 11 | |
| 16 | An Enhanced Watershed Transformation Approach for MRI Gray Matter Segmentation Using Iterative Parallel Region Merging | 1 |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 124 | |
| 20 | 13 |
About P. S. Sathidevi
P. S. Sathidevi is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Biophysics, having authored 71 papers that have together received 594 indexed citations. Recurring topics across this work include Speech and Audio Processing (20 papers), Advanced Data Compression Techniques (11 papers) and Speech Recognition and Synthesis (11 papers). The work is most often cited by research in Signal Processing (215 citations), Computer Vision and Pattern Recognition (219 citations) and Cognitive Neuroscience (142 citations). P. S. Sathidevi has collaborated with scholars based in India. Frequent co-authors include V. K. Govindan, P. P. Deepthi, S. Dinesh Nayak, R Gandhiraj, R. Rajavel, Ravi Philip Rajkumar, Anand Vinekar, Parkash Chand, Shitala Prasad and Elizabeth Elias. Their work appears in journals such as IEEE Access, Computer Methods and Programs in Biomedicine and Computers in Biology and Medicine.
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.