P Deepak
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Artificial Intelligence top 5%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
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 (15 shared papers)Sayan Ranu (3 shared papers)Aditya Telang (2 shared papers)Sriram Raghavan (1 shared paper)Anna Jurek (6 shared papers)Tanmoy Chakraborty (3 shared papers)Cheng Long (3 shared papers)V. L. Lajish (6 shared papers)
- Journals
- Lecture notes in computer science (19 papers)Knowledge and Information Systems (2 papers)Proceedings of the VLDB Endowment (2 papers)Data Mining and Knowledge Discovery (2 papers)AI & Society (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
P Deepak
103 papers receiving 830 citations
Peers
Comparison fields: 5 of 99
- Signal Processing 230
- Artificial Intelligence 464
- Information Systems 301
- Transportation 78
- Geography, Planning and Development 36
Countries citing papers authored by P Deepak
This map shows the geographic impact of P 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 P Deepak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P Deepak more than expected).
Fields of papers citing papers by P Deepak
This network shows the impact of papers produced by P 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 P Deepak. The network helps show where P Deepak may publish in the future.
Co-authors
The 25 scholars most cited alongside P 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 103 | |
| 2 | 2020 | 55 | |
| 3 | 2009 | 42 | |
| 4 | 2011 | 26 | |
| 5 | 2014 | 25 | |
| 6 | 2022 | 24 | |
| 7 | 2020 | 24 | |
| 8 | 2014 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2016 | 20 | |
| 11 | 2018 | 18 | |
| 12 | 2012 | 18 | |
| 13 | 2008 | 18 | |
| 14 | 2012 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2007 | 15 | |
| 17 | 2018 | 14 | |
| 18 | 2012 | 14 | |
| 19 | 2011 | 14 | |
| 20 | 2009 | 14 |
About P Deepak
P Deepak is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Sociology and Political Science and Signal Processing, having authored 110 papers that have together received 869 indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Misinformation and Its Impacts (16 papers), Data Management and Algorithms (15 papers), Sentiment Analysis and Opinion Mining (15 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 Signal Processing (230 citations), Artificial Intelligence (464 citations), Information Systems (301 citations), Transportation (78 citations) and Geography, Planning and Development (36 citations). P Deepak has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Prasad Deshpande, Sayan Ranu, Aditya Telang, Sriram Raghavan, Anna Jurek, Tanmoy Chakraborty, Cheng Long, V. L. Lajish, Nirmalie Wiratunga and Karthik Visweswariah. Their work appears in journals such as Lecture notes in computer science, Knowledge and Information Systems, Proceedings of the VLDB Endowment, 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.