Mukesh D. Patil
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Co-authors
- Gajanan K. BirajdarB.J. SheuVishwesh A. VyawahareP. S. V. NatarajSharad P. JadhavDavid MuiH. Morkoç̌Shweta Agarwala
- Topics
- Advanced Control Systems Design (18 papers)Advanced Control Systems Optimization (9 papers)Fractional Differential Equations Solutions (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Journal of Solid-State CircuitsSolid-State Electronics
- Partner nations
- IndiaUnited StatesNepal
In The Last Decade
Mukesh D. Patil
49 papers receiving 654 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 294
- Electrical and Electronic Engineering 193
- Control and Systems Engineering 146
- Biomedical Engineering 122
- Artificial Intelligence 99
Countries citing papers authored by Mukesh D. Patil
This map shows the geographic impact of Mukesh D. Patil'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 Mukesh D. Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukesh D. Patil more than expected).
Fields of papers citing papers by Mukesh D. Patil
This network shows the impact of papers produced by Mukesh D. Patil. 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 Mukesh D. Patil. The network helps show where Mukesh D. Patil may publish in the future.
Co-authorship network of co-authors of Mukesh D. Patil
This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh D. Patil. A scholar is included among the top collaborators of Mukesh D. Patil 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 Mukesh D. Patil. Mukesh D. Patil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | MVL ALU based on QSD Technique | 1 |
| 17 | 8 | |
| 18 | A Novel Technique for PV Panel Performance Prediction | 2 |
| 19 | Design of Integer and Fractional order PID Controller using Dominant Pole Placement Method | 9 |
| 20 | Stability Analysis of Fractional-order Systems | 1 |
About Mukesh D. Patil
Mukesh D. Patil is a scholar working on Modeling and Simulation, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 721 indexed citations. Recurring topics across this work include Advanced Control Systems Design (18 papers), Advanced Control Systems Optimization (9 papers) and Fractional Differential Equations Solutions (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (294 citations), Media Technology (89 citations) and Modeling and Simulation (37 citations). Mukesh D. Patil has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Gajanan K. Birajdar, B.J. Sheu, Vishwesh A. Vyawahare, P. S. V. Nataraj, Sharad P. Jadhav, David Mui, H. Morkoç̌, Shweta Agarwala, Sangita Chaudhari and Gaurav Raina. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and Solid-State Electronics.
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.