Mrinal Goswami
- Computational Theory and Mathematics top 1%
- Electrical and Electronic Engineering top 10%
- Atomic and Molecular Physics, and Optics top 10%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Bibhash SenBiplab K. SikdarSubhra MazumdarJayanta PalApu Kumar SahaRohit TanwarAmit PramanikTonmoy Sharma
- Topics
- Quantum-Dot Cellular Automata (25 papers)Advanced Memory and Neural Computing (23 papers)Semiconductor materials and devices (10 papers)
- Cited by
- Computational Theory and MathematicsElectrical and Electronic EngineeringAtomic and Molecular Physics, and Optics
- Journals
- SHILAP Revista de lepidopterologíaComputers & Electrical EngineeringArabian Journal for Science and Engineering
- Partner nations
- IndiaSwitzerland
In The Last Decade
Mrinal Goswami
26 papers receiving 426 citations
Peers
Comparison fields: 5 of 19
- Computational Theory and Mathematics 418
- Electrical and Electronic Engineering 381
- Atomic and Molecular Physics, and Optics 178
- Artificial Intelligence 36
- Biomedical Engineering 26
Countries citing papers authored by Mrinal Goswami
This map shows the geographic impact of Mrinal Goswami'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 Mrinal Goswami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mrinal Goswami more than expected).
Fields of papers citing papers by Mrinal Goswami
This network shows the impact of papers produced by Mrinal Goswami. 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 Mrinal Goswami. The network helps show where Mrinal Goswami may publish in the future.
Co-authorship network of co-authors of Mrinal Goswami
This figure shows the co-authorship network connecting the top 25 collaborators of Mrinal Goswami. A scholar is included among the top collaborators of Mrinal Goswami 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 Mrinal Goswami. Mrinal Goswami 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 | 4 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 45 | |
| 13 | 12 | |
| 14 | 12 | |
| 15 | 12 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 71 | |
| 19 | 30 | |
| 20 | 15 |
About Mrinal Goswami
Mrinal Goswami is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 28 papers that have together received 436 indexed citations. Recurring topics across this work include Quantum-Dot Cellular Automata (25 papers), Advanced Memory and Neural Computing (23 papers) and Semiconductor materials and devices (10 papers). The work is most often cited by research in Computational Theory and Mathematics (418 citations), Electrical and Electronic Engineering (381 citations) and Atomic and Molecular Physics, and Optics (178 citations). Mrinal Goswami has collaborated with scholars based in India and Switzerland. Frequent co-authors include Bibhash Sen, Biplab K. Sikdar, Subhra Mazumdar, Jayanta Pal, Apu Kumar Saha, Rohit Tanwar, Amit Pramanik, Tonmoy Sharma, M. Kumar and Octavio Loyola‐González. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers & Electrical Engineering and Arabian Journal for Science and Engineering.
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.