Udayan Ghose
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Topic Modeling
- Neural Networks and Applications
- Information Systems top 10%
- Spam and Phishing Detection
Papers in
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- Neural Networks and Applications 8
- Sentiment Analysis and Opinion Mining 7
- Advanced Text Analysis Techniques 4
- Text and Document Classification Technologies 4
- Fuzzy Logic and Control Systems 3
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- Advanced Neural Network Applications 5
- Co-authors
- Deepti Gupta (1 shared paper)Vedika Gupta (4 shared papers)Vivek Kumar Singh (3 shared papers)Pravin Chandra (5 shared papers)Rajesh Piryani (1 shared paper)
- Journals
- Journal of Intelligent & Fuzzy Systems (3 papers)IEEE Access (1 paper)Applied Soft Computing (1 paper)International Journal of Information Technology (1 paper)Journal of Intelligent Systems (1 paper)
- Partner nations
- India
In The Last Decade
Udayan Ghose
26 papers receiving 209 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 125
- Information Systems 46
- Environmental Engineering 25
- Management Science and Operations Research 20
- Health Information Management 5
Countries citing papers authored by Udayan Ghose
This map shows the geographic impact of Udayan Ghose'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 Udayan Ghose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Udayan Ghose more than expected).
Fields of papers citing papers by Udayan Ghose
This network shows the impact of papers produced by Udayan Ghose. 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 Udayan Ghose. The network helps show where Udayan Ghose may publish in the future.
Co-authors
The 5 scholars most cited alongside Udayan Ghose, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2015 | 35 | |
| 3 | 2019 | 34 | |
| 4 | 2017 | 15 | |
| 5 | 2017 | 10 | |
| 6 | 2015 | 9 | |
| 7 | 2021 | 9 | |
| 8 | 2019 | 8 | |
| 9 | 2019 | 7 | |
| 10 | 2023 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2012 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2016 | 2 |
About Udayan Ghose
Udayan Ghose is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Management Information Systems, having authored 33 papers that have together received 235 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Sentiment Analysis and Opinion Mining (7 papers), Advanced Neural Network Applications (5 papers), Advanced Text Analysis Techniques (4 papers), Text and Document Classification Technologies (4 papers), Fuzzy Logic and Control Systems (3 papers), Big Data and Business Intelligence (3 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Artificial Intelligence (125 citations), Information Systems (46 citations), Environmental Engineering (25 citations), Management Science and Operations Research (20 citations) and Health Information Management (5 citations). Udayan Ghose has collaborated with scholars based in India. Frequent co-authors include Deepti Gupta, Vedika Gupta, Vivek Kumar Singh, Pravin Chandra and Rajesh Piryani. Their work appears in journals such as Journal of Intelligent & Fuzzy Systems, IEEE Access, Applied Soft Computing, International Journal of Information Technology and Journal of Intelligent Systems.
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.