Jisha John
Impact in
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- Stock Market Forecasting Methods
- Artificial Intelligence top 10%
- Neural Networks and Applications
- AI in cancer detection
- Fuzzy Logic and Control Systems
Papers in
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- AI in cancer detection 8
- Fuzzy Logic and Control Systems 4
- Neural Networks and Applications 4
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- Image Enhancement Techniques 2
- Co-authors
- Prem Kalra (4 shared papers)Ram Narayan Yadav (4 shared papers)M. Wilscy (6 shared papers)Aswathy Ravikumar (6 shared papers)Bejoy Abraham (1 shared paper)Madhu S. Nair (3 shared papers)P. Ravi Kumar (1 shared paper)Naresh Kumar (1 shared paper)
- Journals
- Surface and Interface Analysis (1 paper)Optical and Quantum Electronics (1 paper)Journal of Applied Biomedicine (1 paper)Applied Soft Computing (1 paper)International Journal of Modelling and Simulation (1 paper)
- Partner nations
- India
In The Last Decade
Jisha John
27 papers receiving 303 citations
Peers
Comparison fields: 5 of 73
- Management Science and Operations Research 81
- Artificial Intelligence 172
- Computer Vision and Pattern Recognition 83
- Biophysics 17
- Signal Processing 33
Countries citing papers authored by Jisha John
This map shows the geographic impact of Jisha John'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 Jisha John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jisha John more than expected).
Fields of papers citing papers by Jisha John
This network shows the impact of papers produced by Jisha John. 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 Jisha John. The network helps show where Jisha John may publish in the future.
Co-authors
The 15 scholars most cited alongside Jisha John, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 156 | |
| 2 | 2008 | 25 | |
| 3 | 2021 | 23 | |
| 4 | 2017 | 22 | |
| 5 | 2015 | 17 | |
| 6 | 2021 | 16 | |
| 7 | 2006 | 16 | |
| 8 | 2004 | 11 | |
| 9 | 2018 | 9 | |
| 10 | 2009 | 5 | |
| 11 | 2015 | 5 | |
| 12 | 2005 | 3 | |
| 13 | 2005 | 3 | |
| 14 | 2022 | 3 | |
| 15 | Modeling with Recurrent Neural Networks using Generalized Mean Neuron Model | 2005 | 3 |
| 16 | Oxidation of -apocarotenals to -apocarotenoic acids with silver oxide. | 1973 | 3 |
| 17 | 2017 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2021 | 2 |
About Jisha John
Jisha John is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Media Technology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 336 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Optical Wireless Communication Technologies (5 papers), Advanced Photonic Communication Systems (5 papers), Fuzzy Logic and Control Systems (4 papers), Neural Networks and Applications (4 papers), Optical Network Technologies (3 papers), Color Science and Applications (2 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (81 citations), Artificial Intelligence (172 citations), Computer Vision and Pattern Recognition (83 citations), Biophysics (17 citations) and Signal Processing (33 citations). Jisha John has collaborated with scholars based in India. Frequent co-authors include Prem Kalra, Ram Narayan Yadav, M. Wilscy, Aswathy Ravikumar, Bejoy Abraham, Madhu S. Nair, P. Ravi Kumar, Naresh Kumar, Himmat Singh and Yatindra Nath Singh. Their work appears in journals such as Surface and Interface Analysis, Optical and Quantum Electronics, Journal of Applied Biomedicine, Applied Soft Computing and International Journal of Modelling and Simulation.
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.