Priyanka Kokil
- Control and Systems Engineering top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Haranath KarSwapnil Sadashiv ShindeV. Krishna Rao KandanvliChoon Ki AhnBalasubramanyam AppinaDiksha DikshaRam Bilas PachoriS. S. Karthikeyan
- Topics
- Stability and Control of Uncertain Systems (41 papers)Adaptive Control of Nonlinear Systems (15 papers)Stability and Controllability of Differential Equations (15 papers)
- Journals
- Expert Systems with ApplicationsSignal ProcessingIEEE Transactions on Instrumentation and Measurement
- Partner nations
- IndiaSouth Korea
In The Last Decade
Priyanka Kokil
76 papers receiving 909 citations
Peers
Comparison fields: 5 of 82
- Control and Systems Engineering 402
- Radiology, Nuclear Medicine and Imaging 233
- Computer Vision and Pattern Recognition 206
- Artificial Intelligence 131
- Biomedical Engineering 117
Countries citing papers authored by Priyanka Kokil
This map shows the geographic impact of Priyanka Kokil'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 Priyanka Kokil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Kokil more than expected).
Fields of papers citing papers by Priyanka Kokil
This network shows the impact of papers produced by Priyanka Kokil. 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 Priyanka Kokil. The network helps show where Priyanka Kokil may publish in the future.
Co-authorship network of co-authors of Priyanka Kokil
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Kokil. A scholar is included among the top collaborators of Priyanka Kokil 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 Priyanka Kokil. Priyanka Kokil 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 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | 30 | |
| 13 | 6 | |
| 14 | 30 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 44 | |
| 18 | 4 | |
| 19 | 94 | |
| 20 | 7 |
About Priyanka Kokil
Priyanka Kokil is a scholar working on Control and Systems Engineering, Media Technology and Computer Vision and Pattern Recognition, having authored 91 papers that have together received 931 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (41 papers), Adaptive Control of Nonlinear Systems (15 papers) and Stability and Controllability of Differential Equations (15 papers). The work is most often cited by research in Health Informatics (24 citations), Control and Systems Engineering (402 citations) and Computer Vision and Pattern Recognition (206 citations). Priyanka Kokil has collaborated with scholars based in India and South Korea. Frequent co-authors include Haranath Kar, Swapnil Sadashiv Shinde, V. Krishna Rao Kandanvli, Choon Ki Ahn, Balasubramanyam Appina, Diksha Diksha, Ram Bilas Pachori, S. S. Karthikeyan, Rusan Kumar Barik and S. Subramanian. Their work appears in journals such as Expert Systems with Applications, Signal Processing and IEEE Transactions on Instrumentation and Measurement.
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.