Subhash Challa
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Robin J. EvansMark R. MorelandeDarko MušickiMohammad MomaniDon KoksXuezhi WangRami Al‐HmouzA. Balasuriya
- Topics
- Target Tracking and Data Fusion in Sensor Networks (20 papers)Video Surveillance and Tracking Methods (11 papers)Advanced Vision and Imaging (8 papers)
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceComputer Vision and Pattern Recognition
- Partner nations
- AustraliaUnited StatesSouth Korea
In The Last Decade
Subhash Challa
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 573
- Computer Networks and Communications 451
- Aerospace Engineering 251
- Computer Vision and Pattern Recognition 226
- Control and Systems Engineering 194
Countries citing papers authored by Subhash Challa
This map shows the geographic impact of Subhash Challa'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 Challa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhash Challa more than expected).
Fields of papers citing papers by Subhash Challa
This network shows the impact of papers produced by Subhash Challa. 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 Challa. The network helps show where Subhash Challa may publish in the future.
Co-authorship network of co-authors of Subhash Challa
This figure shows the co-authorship network connecting the top 25 collaborators of Subhash Challa. A scholar is included among the top collaborators of Subhash Challa 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 Challa. Subhash Challa 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 | 322 | |
| 3 | 11 | |
| 4 | Data fusion techniques for auto calibration in wireless sensor networks | 24 |
| 5 | Template Matching for Target Tracking from the Bayesian Probability Fusion of Two Different Matching Algorithms | 1 |
| 6 | 29 | |
| 7 | 21 | |
| 8 | Revisit controlled lagrangians for spherical inverted pendulum | 3 |
| 9 | 19 | |
| 10 | 19 | |
| 11 | 29 | |
| 12 | 28 | |
| 13 | 3 | |
| 14 | 40 | |
| 15 | 6 | |
| 16 | Augmented State Integrated Probabilistic Data Association Smoothing for Automatic Track Initiation in Clutter. | 13 |
| 17 | 9 | |
| 18 | 5 | |
| 19 | An Introduction to Bayesian and Dempster-Shafer Data Fusion | 59 |
| 20 | 0 |
About Subhash Challa
Subhash Challa is a scholar working on Media Technology, Biophysics and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (20 papers), Video Surveillance and Tracking Methods (11 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Computer Networks and Communications (451 citations), Artificial Intelligence (573 citations) and Computer Vision and Pattern Recognition (226 citations). Subhash Challa has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Robin J. Evans, Mark R. Morelande, Darko Mušicki, Mohammad Momani, Don Koks, Xuezhi Wang, Rami Al‐Hmouz, A. Balasuriya, Zhen Jia and Rajib Chakravorty. Their work appears in journals such as Information Fusion, Computer Vision and Image Understanding and Robotics and Autonomous Systems.
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.