Subhash Bagui
Impact in
- Artificial Intelligence top 0.5%
- Neural Networks and Applications
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Data Stream Mining Techniques
- Signal Processing top 2%
- Advanced Malware Detection Techniques
Papers in
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- Internet Traffic Analysis and Secure E-voting 6
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- Advanced Statistical Methods and Models 8
- Statistical Methods and Inference 5
- Statistical Methods and Bayesian Inference 4
- Co-authors
- Sikha Bagui (26 shared papers)Nikhil R. Pal (2 shared papers)X. M. Fang (3 shared papers)Kuhu Pal (1 shared paper)Joseph G. Sheehan (1 shared paper)Xiaojian Wang (1 shared paper)Kathleen J. Gosnell (1 shared paper)William M. Landing (1 shared paper)
- Journals
- Pattern Recognition Letters (2 papers)CATENA (1 paper)Toxins (1 paper)Journal of Statistical Planning and Inference (1 paper)Future Internet (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Subhash Bagui
39 papers receiving 3.0k citations
Subhash Bagui's Hit Papers
Peers
Comparison fields: 5 of 164
- Artificial Intelligence 1.8k
- Signal Processing 477
- Computer Vision and Pattern Recognition 842
- Media Technology 180
- Information Systems 419
Countries citing papers authored by Subhash Bagui
This map shows the geographic impact of Subhash Bagui'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 Subhash Bagui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhash Bagui more than expected).
Fields of papers citing papers by Subhash Bagui
This network shows the impact of papers produced by Subhash Bagui. 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 Subhash Bagui. The network helps show where Subhash Bagui may publish in the future.
Co-authors
The 25 scholars most cited alongside Subhash Bagui, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Combining Pattern Classifiers: Methods and Algorithms Hit paper breakdown → | 2005 | 2668 |
| 2 | 2002 | 74 | |
| 3 | 2017 | 71 | |
| 4 | 2019 | 49 | |
| 5 | 2019 | 41 | |
| 6 | 2021 | 34 | |
| 7 | 2010 | 31 | |
| 8 | 2021 | 31 | |
| 9 | 2023 | 25 | |
| 10 | 2022 | 18 | |
| 11 | 1995 | 17 | |
| 12 | 2017 | 13 | |
| 13 | 2022 | 12 | |
| 14 | CRC Handbook of Percentiles of Non-Central t-Distributions | 1993 | 12 |
| 15 | 2009 | 11 | |
| 16 | Development of a measure on statistics anxiety in graduate-level psychology students | 2002 | 9 |
| 17 | 2023 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 1999 | 7 |
About Subhash Bagui
Subhash Bagui is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Networks and Communications, Signal Processing and Information Systems, having authored 43 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Advanced Malware Detection Techniques (7 papers), Network Security and Intrusion Detection (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Statistical Methods and Inference (5 papers), Data Mining Algorithms and Applications (4 papers), Statistical Methods and Bayesian Inference (4 papers) and Rough Sets and Fuzzy Logic (3 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Signal Processing (477 citations), Computer Vision and Pattern Recognition (842 citations), Media Technology (180 citations) and Information Systems (419 citations). Subhash Bagui has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Sikha Bagui, Nikhil R. Pal, X. M. Fang, Kuhu Pal, Joseph G. Sheehan, Xiaojian Wang, Kathleen J. Gosnell, William M. Landing, Jane M. Caffrey and K. L. Mehra. Their work appears in journals such as Pattern Recognition Letters, CATENA, Toxins, Journal of Statistical Planning and Inference and Future Internet.
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.