Subhash Challa

1.7k citations
56 papers · 1.1k · h-index 18

Impact in

Papers in

Subhash Challa

52 papers receiving 1.1k citations

Peers

Subhash Challa
Comparison fields: 5 of 92
  • Computer Networks and Communications 451
  • Artificial Intelligence 573
  • Computer Vision and Pattern Recognition 226
  • Aerospace Engineering 251
  • Control and Systems Engineering 194
Replace Y. Boers with:
Y. Boers Netherlands
Sangjin Hong United States
Chris Kreucher United States
Jonathan Ko United States
J.-P. Le Cadre France
S. Challa Australia
Keshu Zhang United States
Molly M. Scheffe United States
Ángel F. García‐Fernández Spain
Gustaf Hendeby Sweden
Subhash Challa relative to Y. Boers Netherlands Y. Boers's profile →
Citations per field
00.5×1.5×2.4×
Y. Boers · 1×
Citations per year

Countries citing papers authored by Subhash Challa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Subhash Challa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Subhash Challa Line = papers co-authored together Subhash Challa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011322
2 200392
3 201083
4
An Introduction to Bayesian and Dempster-Shafer Data Fusion
200359
5 200445
6 200740
7 200236
8 200829
9 200729
10 200728
11 200825
12
Data fusion techniques for auto calibration in wireless sensor networks
200924
13 201022
14 200821
15 200821
16 200819
17 200819
18 200618
19 200717
20 201016

About Subhash Challa

Subhash Challa is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Media Technology and Aerospace Engineering, 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), Energy Efficient Wireless Sensor Networks (8 papers), Advanced Vision and Imaging (8 papers), Distributed Sensor Networks and Detection Algorithms (7 papers), Cell Image Analysis Techniques (6 papers), Image Processing Techniques and Applications (6 papers) and Bayesian Modeling and Causal Inference (6 papers). The work is most often cited by research in Computer Networks and Communications (451 citations), Artificial Intelligence (573 citations), Computer Vision and Pattern Recognition (226 citations), Aerospace Engineering (251 citations) and Control and Systems Engineering (194 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 Sadhana, Information Fusion, Robotics and Autonomous Systems, Machine Vision and Applications and International Journal of Sensor Networks.

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.

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