Pradeep Kumar Deepak
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Information Systems top 2%
- Spam and Phishing Detection
Papers in
-
- Topic Modeling 32
- Sentiment Analysis and Opinion Mining 15
- Natural Language Processing Techniques 12
- Advanced Text Analysis Techniques 11
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- Spam and Phishing Detection 10
- Web Data Mining and Analysis 9
- Co-authors
- Prasad Deshpande (13 shared papers)Tanmoy Chakraborty (3 shared papers)Cheng Zhi Long (3 shared papers)V. L. Lajish (6 shared papers)Nirmalie Wiratunga (4 shared papers)Karthik Visweswariah (3 shared papers)Anna Jurek (5 shared papers)Stewart Massie (3 shared papers)
- Journals
- Lecture notes in computer science (19 papers)Proceedings of the VLDB Endowment (2 papers)Knowledge and Information Systems (2 papers)Data Mining and Knowledge Discovery (2 papers)AI & Society (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Pradeep Kumar Deepak
99 papers receiving 724 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 444
- Information Systems 292
- Signal Processing 127
- Transportation 47
- Management Science and Operations Research 58
Countries citing papers authored by Pradeep Kumar Deepak
This map shows the geographic impact of Pradeep Kumar Deepak'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 Pradeep Kumar Deepak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Kumar Deepak more than expected).
Fields of papers citing papers by Pradeep Kumar Deepak
This network shows the impact of papers produced by Pradeep Kumar Deepak. 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 Pradeep Kumar Deepak. The network helps show where Pradeep Kumar Deepak may publish in the future.
Co-authors
The 25 scholars most cited alongside Pradeep Kumar Deepak, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2009 | 40 | |
| 3 | 2022 | 26 | |
| 4 | 2011 | 25 | |
| 5 | 2014 | 24 | |
| 6 | 2020 | 24 | |
| 7 | 2016 | 22 | |
| 8 | 2014 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2021 | 18 | |
| 11 | 2012 | 17 | |
| 12 | 2012 | 17 | |
| 13 | 2008 | 16 | |
| 14 | 2007 | 15 | |
| 15 | 2011 | 14 | |
| 16 | 2012 | 14 | |
| 17 | 2018 | 14 | |
| 18 | 2009 | 13 | |
| 19 | 2017 | 13 | |
| 20 | 2019 | 13 |
About Pradeep Kumar Deepak
Pradeep Kumar Deepak is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Networks and Communications and Safety Research, having authored 112 papers that have together received 762 indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Misinformation and Its Impacts (16 papers), Sentiment Analysis and Opinion Mining (15 papers), Data Management and Algorithms (13 papers), Natural Language Processing Techniques (12 papers), Advanced Text Analysis Techniques (11 papers), Spam and Phishing Detection (10 papers) and Web Data Mining and Analysis (9 papers). The work is most often cited by research in Artificial Intelligence (444 citations), Information Systems (292 citations), Signal Processing (127 citations), Transportation (47 citations) and Management Science and Operations Research (58 citations). Pradeep Kumar Deepak has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Prasad Deshpande, Tanmoy Chakraborty, Cheng Zhi Long, V. L. Lajish, Nirmalie Wiratunga, Karthik Visweswariah, Anna Jurek, Stewart Massie, Deepak Khemani and Anil Bandhakavi. Their work appears in journals such as Lecture notes in computer science, Proceedings of the VLDB Endowment, Knowledge and Information Systems, Data Mining and Knowledge Discovery and AI & Society.
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.