Prasenjit Das
- Education top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Information Systems
- Geochemistry and Petrology
- Co-authors
- K. MayaD. PadmalalNirmalya KarDeepika KoundalChetan SharmaBaby BhattacharyaK. N. BabuK. Sreelash
- Topics
- DNA and Biological Computing (3 papers)Groundwater and Isotope Geochemistry (3 papers)Cellular Automata and Applications (3 papers)
- Partner nations
- IndiaUnited KingdomSouth Korea
In The Last Decade
Prasenjit Das
17 papers receiving 241 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Education 90
- Artificial Intelligence 50
- Computer Vision and Pattern Recognition 45
- Information Systems 37
- Geochemistry and Petrology 35
Countries citing papers authored by Prasenjit Das
This map shows the geographic impact of Prasenjit Das'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 Prasenjit Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasenjit Das more than expected).
Fields of papers citing papers by Prasenjit Das
This network shows the impact of papers produced by Prasenjit Das. 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 Prasenjit Das. The network helps show where Prasenjit Das may publish in the future.
Co-authorship network of co-authors of Prasenjit Das
This figure shows the co-authorship network connecting the top 25 collaborators of Prasenjit Das. A scholar is included among the top collaborators of Prasenjit Das 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 Prasenjit Das. Prasenjit Das 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 | 3 | |
| 3 | 0 | |
| 4 | Perception towards online/blended learning at the time of Covid-19 pandemic: an academic analytics in the Indian contextbreakdown → | 120 |
| 5 | 26 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 30 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 18 | |
| 17 | 7 | |
| 18 | 11 | |
| 19 | Hyperfibrotic myelodysplastic syndrome: a report of three cases from north India. | 1 |
| 20 | 0 |
About Prasenjit Das
Prasenjit Das is a scholar working on Geochemistry and Petrology, Computational Theory and Mathematics and Health Information Management, having authored 20 papers that have together received 262 indexed citations. Recurring topics across this work include DNA and Biological Computing (3 papers), Groundwater and Isotope Geochemistry (3 papers) and Cellular Automata and Applications (3 papers). The work is most often cited by research in Geochemistry and Petrology (35 citations), Computer Science Applications (26 citations) and Health Informatics (5 citations). Prasenjit Das has collaborated with scholars based in India, United Kingdom and South Korea. Frequent co-authors include K. Maya, D. Padmalal, Nirmalya Kar, Deepika Koundal, Chetan Sharma, Baby Bhattacharya, K. N. Babu, K. Sreelash, Anirban Mitra and Abhishek Kumar. Their work appears in journals such as Earth-Science Reviews, Geothermics and Journal of the Geological Society of India.
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.