Jayanta Pal
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- Model Reduction and Neural Networks 15
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- Real-time simulation and control systems 12
- Control Systems and Identification 8
- Advanced Control Systems Design 6
- Numerical Analysis top 5%
- Modeling and Simulation top 5%
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- Quantum-Dot Cellular Automata 18
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- Advanced Memory and Neural Computing 12
- Semiconductor materials and devices 9
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- Analog and Mixed-Signal Circuit Design 6
- Co-authors
- A. K. SinhaAnirban MondalShyamashis DasAngshuman NagK. V. AdarshSuman MannaKarabi BiswasMunmun Khanra
- Journals
- Electronics Letters (4 papers)Computers & Electrical Engineering (4 papers)IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2 papers)
- Partner nations
- IndiaUnited StatesIran
In The Last Decade
Jayanta Pal
60 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 67
- Statistical and Nonlinear Physics 355
- Control and Systems Engineering 514
- Numerical Analysis 118
- Modeling and Simulation 80
- Statistics, Probability and Uncertainty 98
Countries citing papers authored by Jayanta Pal
This map shows the geographic impact of Jayanta Pal'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 Jayanta Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayanta Pal more than expected).
Fields of papers citing papers by Jayanta Pal
This network shows the impact of papers produced by Jayanta Pal. 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 Jayanta Pal. The network helps show where Jayanta Pal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jayanta Pal, 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 | 2024 | 0 | |
| 2 | 2023 | 24 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 7 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 9 | |
| 8 | 2017 | 196 | |
| 9 | 2015 | 31 | |
| 10 | 2007 | 18 | |
| 11 | 2006 | 26 | |
| 12 | 1998 | 6 | |
| 13 | 1995 | 20 | |
| 14 | 1992 | 3 | |
| 15 | 1990 | 0 | |
| 16 | 1983 | 76 | |
| 17 | 1982 | 1 | |
| 18 | 1980 | 21 | |
| 19 | 1979 | 3 | |
| 20 | 1973 | 3 |
About Jayanta Pal
Jayanta Pal is a scholar working on Control and Systems Engineering, Numerical Analysis, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Modeling and Simulation, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (18 papers), Model Reduction and Neural Networks (15 papers), Advanced Memory and Neural Computing (12 papers), Real-time simulation and control systems (12 papers), Semiconductor materials and devices (9 papers), Control Systems and Identification (8 papers), Advanced Control Systems Design (6 papers) and Analog and Mixed-Signal Circuit Design (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (355 citations), Control and Systems Engineering (514 citations), Numerical Analysis (118 citations), Modeling and Simulation (80 citations) and Statistics, Probability and Uncertainty (98 citations). Jayanta Pal has collaborated with scholars based in India, United States and Iran. Frequent co-authors include A. K. Sinha, Anirban Mondal, Shyamashis Das, Angshuman Nag, K. V. Adarsh, Suman Manna, Karabi Biswas, Munmun Khanra, Subrata Banerjee and Bibhash Sen. Their work appears in journals such as Electronics Letters, Computers & Electrical Engineering, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, IEEE Transactions on Automatic Control and ISA Transactions.
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.