Subhash Bagui
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Co-authors
- Sikha BaguiNikhil R. PalX. M. FangKuhu PalJoseph G. SheehanXiaojian WangJane M. CaffreyWilliam M. Landing
- Topics
- Advanced Statistical Methods and Models (8 papers)Network Security and Intrusion Detection (7 papers)Advanced Malware Detection Techniques (7 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Subhash Bagui
37 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Artificial Intelligence 1.4k
- Computer Vision and Pattern Recognition 663
- Signal Processing 382
- Information Systems 331
- Computer Networks and Communications 326
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-authorship network of co-authors of Subhash Bagui
This figure shows the co-authorship network connecting the top 25 collaborators of Subhash Bagui. A scholar is included among the top collaborators of Subhash Bagui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Subhash Bagui. Subhash Bagui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 18 | |
| 4 | 15 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | A Novel Weighting Attribute Method for Binary Classification | 1 |
| 8 | 27 | |
| 9 | 29 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 36 | |
| 14 | 12 | |
| 15 | The Statistical Classification of Breast Cancer Data | 1 |
| 16 | 31 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | Combining Pattern Classifiers: Methods and Algorithmsbreakdown → | 2081 |
| 20 | Development of a measure on statistics anxiety in graduate-level psychology students | 9 |
About Subhash Bagui
Subhash Bagui is a scholar working on Statistics and Probability, Signal Processing and Artificial Intelligence, having authored 42 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Network Security and Intrusion Detection (7 papers) and Advanced Malware Detection Techniques (7 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Signal Processing (382 citations) and Computer Vision and Pattern Recognition (663 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, Jane M. Caffrey, William M. Landing, Kathleen J. Gosnell and Chris Piotrowski. Their work appears in journals such as Technometrics, Atmospheric chemistry and physics and Sensors.
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.