Vipin Kumar
Impact in
- Signal Processing top 0.02%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Artificial Intelligence top 0.01%
- Anomaly Detection Techniques and Applications
- Advanced Clustering Algorithms Research
- Imbalanced Data Classification Techniques
Papers in
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- Anomaly Detection Techniques and Applications 25
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- Data Mining Algorithms and Applications 52
- Co-authors
- Varun Chandola (11 shared papers)Arindam Banerjee (5 shared papers)Michael Steinbach (93 shared papers)George Karypis (11 shared papers)Pang‐Ning Tan (34 shared papers)Eui-Hong Han (9 shared papers)Jaideep Srivastava (11 shared papers)Aleksandar Lazarević (9 shared papers)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (8 papers)PLoS ONE (5 papers)Optik (5 papers)Earth Interactions (5 papers)Computer (4 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Vipin Kumar
328 papers receiving 29.5k citations
Vipin Kumar's Hit Papers
Peers
Comparison fields: 5 of 231
- Signal Processing 6.1k
- Artificial Intelligence 17.3k
- Computer Networks and Communications 6.8k
- Information Systems 6.4k
- Computer Vision and Pattern Recognition 3.2k
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 349 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Anomaly detection Hit paper breakdown → | 2009 | 8056 |
| 2 | Top 10 algorithms in data mining Hit paper breakdown → | 2007 | 4439 |
| 3 | A Comparison of Document Clustering Techniques Hit paper breakdown → | 2000 | 1894 |
| 4 | Chameleon: hierarchical clustering using dynamic modeling Hit paper breakdown → | 1999 | 1612 |
| 5 | Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data Hit paper breakdown → | 2017 | 1003 |
| 6 | Selecting the right interestingness measure for association patterns Hit paper breakdown → | 2002 | 672 |
| 7 | A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection Hit paper breakdown → | 2003 | 653 |
| 8 | Trends in big data analytics Hit paper breakdown → | 2014 | 634 |
| 9 | Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data Hit paper breakdown → | 2003 | 550 |
| 10 | Anomaly Detection for Discrete Sequences: A Survey Hit paper breakdown → | 2010 | 534 |
| 11 | 2005 | 481 | |
| 12 | Similarity Measures for Categorical Data: A Comparative Evaluation Hit paper breakdown → | 2008 | 446 |
| 13 | 2003 | 420 | |
| 14 | Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems Hit paper breakdown → | 2022 | 386 |
| 15 | Spatio-Temporal Data Mining Hit paper breakdown → | 2018 | 319 |
| 16 | Process‐Guided Deep Learning Predictions of Lake Water Temperature Hit paper breakdown → | 2019 | 292 |
| 17 | A daily global mesoscale ocean eddy dataset from satellite altimetry Hit paper breakdown → | 2015 | 281 |
| 18 | 2001 | 273 | |
| 19 | 2001 | 231 | |
| 20 | 2002 | 225 |
About Vipin Kumar
Vipin Kumar is a scholar working on Artificial Intelligence, Information Systems, Global and Planetary Change, Signal Processing and Ecology, having authored 349 papers that have together received 31.6k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (52 papers), Remote Sensing in Agriculture (34 papers), Data Management and Algorithms (27 papers), Anomaly Detection Techniques and Applications (25 papers), Network Security and Intrusion Detection (25 papers), Rough Sets and Fuzzy Logic (24 papers), Hydrological Forecasting Using AI (23 papers) and Time Series Analysis and Forecasting (22 papers). The work is most often cited by research in Signal Processing (6.1k citations), Artificial Intelligence (17.3k citations), Computer Networks and Communications (6.8k citations), Information Systems (6.4k citations) and Computer Vision and Pattern Recognition (3.2k citations). Vipin Kumar has collaborated with scholars based in United States, India and China. Frequent co-authors include Varun Chandola, Arindam Banerjee, Michael Steinbach, George Karypis, Pang‐Ning Tan, Eui-Hong Han, Jaideep Srivastava, Aleksandar Lazarević, Anuj Karpatne and Levent Ertöz. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, PLoS ONE, Optik, Earth Interactions and Computer.
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.