Vipin Kumar
Impact in
- Artificial Intelligence top 0.02%
- Anomaly Detection Techniques and Applications
- Advanced Clustering Algorithms Research
- Information Systems top 0.05%
- Data Mining Algorithms and Applications
- Data Mining and Machine Learning Applications
Papers in
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- Data Mining Algorithms and Applications 39
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- Advanced Clustering Algorithms Research 14
- Co-authors
- Varun Chandola (10 shared papers)Arindam Banerjee (5 shared papers)Michael S. Steinbach (84 shared papers)George Karypis (11 shared papers)Pang‐Ning Tan (31 shared papers)Eui-Hong Sam Han (9 shared papers)Jaideep Srivastava (11 shared papers)Anuj Karpatne (24 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (9 papers)Earth Interactions (5 papers)Optik (5 papers)Computer (4 papers)Water Resources Research (4 papers)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Vipin Kumar
304 papers receiving 30.5k citations
Vipin Kumar's Hit Papers
Peers
Comparison fields: 5 of 221
- Artificial Intelligence 12.3k
- Information Systems 5k
- Computer Networks and Communications 3.9k
- Signal Processing 996
- Environmental Engineering 1.2k
Countries citing papers authored by Vipin Kumar
This map shows the geographic impact of Vipin Kumar'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 Vipin Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vipin Kumar more than expected).
Fields of papers citing papers by Vipin Kumar
This network shows the impact of papers produced by Vipin Kumar. 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 Vipin Kumar. The network helps show where Vipin Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vipin Kumar, 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 322 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Anomaly detection Hit paper breakdown → | 2009 | 8458 |
| 2 | Top 10 algorithms in data mining Hit paper breakdown → | 2007 | 4466 |
| 3 | A Comparison of Document Clustering Techniques Hit paper breakdown → | 2000 | 1875 |
| 4 | Chameleon: hierarchical clustering using dynamic modeling Hit paper breakdown → | 1999 | 1617 |
| 5 | Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data Hit paper breakdown → | 2017 | 1122 |
| 6 | Selecting the right interestingness measure for association patterns Hit paper breakdown → | 2002 | 665 |
| 7 | A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection Hit paper breakdown → | 2003 | 661 |
| 8 | Trends in big data analytics Hit paper breakdown → | 2014 | 633 |
| 9 | Anomaly Detection for Discrete Sequences: A Survey Hit paper breakdown → | 2010 | 552 |
| 10 | Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data Hit paper breakdown → | 2003 | 551 |
| 11 | Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems Hit paper breakdown → | 2022 | 512 |
| 12 | Machine Learning for the Geosciences: Challenges and Opportunities Hit paper breakdown → | 2019 | 487 |
| 13 | Feature bagging for outlier detection Hit paper breakdown → | 2005 | 485 |
| 14 | Similarity Measures for Categorical Data: A Comparative Evaluation Hit paper breakdown → | 2008 | 438 |
| 15 | Selecting the right objective measure for association analysis Hit paper breakdown → | 2003 | 431 |
| 16 | Spatio-Temporal Data Mining Hit paper breakdown → | 2018 | 335 |
| 17 | Process‐Guided Deep Learning Predictions of Lake Water Temperature Hit paper breakdown → | 2019 | 305 |
| 18 | 2012 | 288 | |
| 19 | 2001 | 276 | |
| 20 | 2002 | 225 |
About Vipin Kumar
Vipin Kumar is a scholar working on Information Systems, Artificial Intelligence, Media Technology, Global and Planetary Change and Environmental Engineering, having authored 322 papers that have together received 32.4k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (39 papers), Remote Sensing in Agriculture (24 papers), Remote-Sensing Image Classification (23 papers), Climate variability and models (22 papers), Hydrological Forecasting Using AI (16 papers), Photonic Crystals and Applications (15 papers), Advanced Clustering Algorithms Research (14 papers) and Network Security and Intrusion Detection (14 papers). The work is most often cited by research in Artificial Intelligence (12.3k citations), Information Systems (5k citations), Computer Networks and Communications (3.9k citations), Signal Processing (996 citations) and Environmental Engineering (1.2k citations). Vipin Kumar has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Varun Chandola, Arindam Banerjee, Michael S. Steinbach, George Karypis, Pang‐Ning Tan, Eui-Hong Sam Han, Jaideep Srivastava, Anuj Karpatne, Aleksandar M Lazarević and Levent Ertöz. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Earth Interactions, Optik, Computer and Water Resources Research.
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.