Srikanth Gururajan
- Aerospace Engineering top 5%
- Aerospace and Aviation Technology 17
- Guidance and Control Systems 10
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- Fault Detection and Control Systems 14
- Control Systems and Identification 9
- Adaptive Control of Nonlinear Systems 7
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks 10
- Neural Networks and Applications 5
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- Robotic Path Planning Algorithms 7
- Co-authors
- Yu GuMarcello R. NapolitanoBrad SeanorGiampiero CampaMatthew B. RhudyJason N. GrossMarcello NapolitanoMario Luca Fravolini
- Journals
- IEEE Transactions on Control Systems Technology (1 paper)IEEE Transactions on Aerospace and Electronic Systems (2 papers)SAE technical papers on CD-ROM/SAE technical paper series (2 papers)
- Partner nations
- United StatesBelgiumItaly
In The Last Decade
Srikanth Gururajan
45 papers receiving 653 citations
Peers
Comparison fields: 5 of 67
- Aerospace Engineering 400
- Control and Systems Engineering 266
- Computer Networks and Communications 191
- Artificial Intelligence 240
- Computer Vision and Pattern Recognition 103
Countries citing papers authored by Srikanth Gururajan
This map shows the geographic impact of Srikanth Gururajan'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 Srikanth Gururajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srikanth Gururajan more than expected).
Fields of papers citing papers by Srikanth Gururajan
This network shows the impact of papers produced by Srikanth Gururajan. 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 Srikanth Gururajan. The network helps show where Srikanth Gururajan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Srikanth Gururajan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2020 | 0 | |
| 4 | 2020 | 1 | |
| 5 | 2019 | 9 | |
| 6 | 2019 | 22 | |
| 7 | 2018 | 2 | |
| 8 | 2018 | 0 | |
| 9 | 2014 | 12 | |
| 10 | 2013 | 4 | |
| 11 | 2012 | 82 | |
| 12 | 2012 | 14 | |
| 13 | 2007 | 12 | |
| 14 | 2007 | 4 | |
| 15 | 2006 | 26 | |
| 16 | 2006 | 0 | |
| 17 | 2005 | 16 | |
| 18 | 2004 | 7 | |
| 19 | 2004 | 8 | |
| 20 | 2002 | 41 |
About Srikanth Gururajan
Srikanth Gururajan is a scholar working on Aerospace Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 52 papers that have together received 671 indexed citations. Recurring topics across this work include Aerospace and Aviation Technology (17 papers), Fault Detection and Control Systems (14 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers), Guidance and Control Systems (10 papers), Control Systems and Identification (9 papers), Adaptive Control of Nonlinear Systems (7 papers), Robotic Path Planning Algorithms (7 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Aerospace Engineering (400 citations), Control and Systems Engineering (266 citations) and Computer Networks and Communications (191 citations). Srikanth Gururajan has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Yu Gu, Marcello R. Napolitano, Brad Seanor, Giampiero Campa, Matthew B. Rhudy, Jason N. Gross, Marcello Napolitano, Mario Luca Fravolini, Ye Bai and Haiyang Chao. Their work appears in journals such as IEEE Transactions on Control Systems Technology, IEEE Transactions on Aerospace and Electronic Systems and SAE technical papers on CD-ROM/SAE technical paper series.
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.