Kaustav Das
Impact in
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Internet Traffic Analysis and Secure E-voting
- Data Stream Mining Techniques
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
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- Time Series Analysis and Forecasting 2
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- Anomaly Detection Techniques and Applications 5
- AI in Service Interactions 1
Kaustav Das
7 papers receiving 177 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 171
- Signal Processing 44
- Computer Networks and Communications 86
- Statistics and Probability 23
- Computational Mathematics 1
Countries citing papers authored by Kaustav Das
This map shows the geographic impact of Kaustav Das'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 Kaustav Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaustav Das more than expected).
Fields of papers citing papers by Kaustav Das
This network shows the impact of papers produced by Kaustav Das. 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 Kaustav Das. The network helps show where Kaustav Das may publish in the future.
Co-authors
The 8 scholars most cited alongside Kaustav Das, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 2 | |
| 5 | Detecting patterns of anomalies | 2009 | 6 |
| 6 | 2008 | 61 | |
| 7 | 2007 | 116 | |
| 8 | 2004 | 4 | |
| 9 | 2004 | 1 |
About Kaustav Das
Kaustav Das is a scholar working on Signal Processing, Artificial Intelligence, Geology, Earth-Surface Processes and Computer Networks and Communications, having authored 9 papers that have together received 191 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Network Security and Intrusion Detection (3 papers), Time Series Analysis and Forecasting (2 papers), Data-Driven Disease Surveillance (2 papers), Electoral Systems and Political Participation (1 paper), Geological formations and processes (1 paper), Fiscal Policies and Political Economy (1 paper) and AI in Service Interactions (1 paper). The work is most often cited by research in Artificial Intelligence (171 citations), Signal Processing (44 citations), Computer Networks and Communications (86 citations), Statistics and Probability (23 citations) and Computational Mathematics (1 citation). Kaustav Das has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Jeff Schneider, Daniel B. Neill, Yixiao Wang, Andrew Moore, Koel Mukherjee, Santanu Banerjee, Pushkar Maitra and S. Sarkar. Their work appears in journals such as Public Choice, Sedimentary Geology and Paladyn Journal of Behavioral Robotics.
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.