Mukesh Patidar
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence
- Co-authors
- Nitin JainPragya NemaSurendra Kumar ShuklaUpendra SinghBhasker PantArun Kumar SivaramanSandeep SharmaGarima Bhardwaj
- Topics
- Quantum-Dot Cellular Automata (10 papers)Advanced Memory and Neural Computing (9 papers)Quantum and electron transport phenomena (5 papers)
- Partner nations
- IndiaUnited StatesIraq
In The Last Decade
Mukesh Patidar
33 papers receiving 218 citations
Peers
Comparison fields: 5 of 58
- Electrical and Electronic Engineering 110
- Computational Theory and Mathematics 104
- Computer Networks and Communications 36
- Atomic and Molecular Physics, and Optics 35
- Artificial Intelligence 24
Countries citing papers authored by Mukesh Patidar
This map shows the geographic impact of Mukesh Patidar'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 Patidar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukesh Patidar more than expected).
Fields of papers citing papers by Mukesh Patidar
This network shows the impact of papers produced by Mukesh Patidar. 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 Patidar. The network helps show where Mukesh Patidar may publish in the future.
Co-authorship network of co-authors of Mukesh Patidar
This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Patidar. A scholar is included among the top collaborators of Mukesh Patidar 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 Patidar. Mukesh Patidar 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 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 17 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 19 | |
| 16 | 24 | |
| 17 | 25 | |
| 18 | 17 | |
| 19 | Understanding Shared Technology in Cloud Computing and Data Recovery Vulnerability | 1 |
| 20 | 12 |
About Mukesh Patidar
Mukesh Patidar is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Signal Processing, having authored 38 papers that have together received 241 indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (10 papers), Advanced Memory and Neural Computing (9 papers) and Quantum and electron transport phenomena (5 papers). The work is most often cited by research in Computational Theory and Mathematics (104 citations), Electrical and Electronic Engineering (110 citations) and Signal Processing (18 citations). Mukesh Patidar has collaborated with scholars based in India, United States and Iraq. Frequent co-authors include Nitin Jain, Pragya Nema, Surendra Kumar Shukla, Upendra Singh, Bhasker Pant, Arun Kumar Sivaraman, Sandeep Sharma, Garima Bhardwaj, Yogendra Kumar and Anurag Shrivastava. Their work appears in journals such as IEEE Internet of Things Journal, Materials Today Proceedings and The Journal of Supercomputing.
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.