Jayanta Kumar Basak
Impact in
-
- Face and Expression Recognition
- Artificial Intelligence top 2%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Papers in
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- Blind Source Separation Techniques 8
-
- Neural Networks and Applications 28
- Fuzzy Logic and Control Systems 10
- Co-authors
- Hyeon Tae KimSankar K. PalRichard W. WeberSebastián MaldonadoRajat K. DeElanchezhian ArulmozhiAnil BhujelRaghu Krishnapuram
- Journals
- Horticulture Environment and Biotechnology (5 papers)Neural Computation (5 papers)Air Quality Atmosphere & Health (4 papers)Information Sciences (3 papers)Neural Computing and Applications (3 papers)
- Partner nations
- IndiaSouth KoreaBangladesh
In The Last Decade
Jayanta Kumar Basak
111 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Vision and Pattern Recognition 384
- Artificial Intelligence 597
- Analytical Chemistry 171
- Plant Science 445
- Signal Processing 103
Countries citing papers authored by Jayanta Kumar Basak
This map shows the geographic impact of Jayanta Kumar Basak'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 Kumar Basak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayanta Kumar Basak more than expected).
Fields of papers citing papers by Jayanta Kumar Basak
This network shows the impact of papers produced by Jayanta Kumar Basak. 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 Kumar Basak. The network helps show where Jayanta Kumar Basak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jayanta Kumar Basak, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 19 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 46 | |
| 11 | 2022 | 19 | |
| 12 | 2022 | 18 | |
| 13 | Assessment of Changing Pattern of Temperature and CO2 by Using DME Combustion Gas for Enhanced Growth of Pepper Plant in Greenhouse | 2018 | 1 |
| 14 | Dynamic provisioning of storage workloads | 2015 | 2 |
| 15 | Performance of Cymbidium Hybrids in Mid Hill Situation of Sikkim | 2007 | 3 |
| 16 | Methods of case adaptation: A survey: Research Articles | 2005 | 12 |
| 17 | 2004 | 29 | |
| 18 | 2000 | 96 | |
| 19 | 1995 | 4 | |
| 20 | 1993 | 14 |
About Jayanta Kumar Basak
Jayanta Kumar Basak is a scholar working on Signal Processing, Artificial Intelligence, Process Chemistry and Technology, Computer Vision and Pattern Recognition and Animal Science and Zoology, having authored 119 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (28 papers), Face and Expression Recognition (14 papers), Effects of Environmental Stressors on Livestock (14 papers), Greenhouse Technology and Climate Control (12 papers), Smart Agriculture and AI (10 papers), Fuzzy Logic and Control Systems (10 papers), Animal Behavior and Welfare Studies (10 papers) and Blind Source Separation Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (384 citations), Artificial Intelligence (597 citations), Analytical Chemistry (171 citations), Plant Science (445 citations) and Signal Processing (103 citations). Jayanta Kumar Basak has collaborated with scholars based in India, South Korea and Bangladesh. Frequent co-authors include Hyeon Tae Kim, Sankar K. Pal, Richard W. Weber, Sebastián Maldonado, Rajat K. De, Elanchezhian Arulmozhi, Anil Bhujel, Raghu Krishnapuram, Fawad Khan and Byeong Eun Moon. Their work appears in journals such as Horticulture Environment and Biotechnology, Neural Computation, Air Quality Atmosphere & Health, Information Sciences and Neural Computing and Applications.
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.