Srikanth Gururajan

935 total citations
52 papers, 671 citations indexed

About

Srikanth Gururajan is a scholar working on Aerospace Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Srikanth Gururajan has authored 52 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Aerospace Engineering, 25 papers in Control and Systems Engineering and 18 papers in Artificial Intelligence. Recurrent topics in Srikanth Gururajan's work include Aerospace and Aviation Technology (17 papers), Fault Detection and Control Systems (14 papers) and Target Tracking and Data Fusion in Sensor Networks (10 papers). Srikanth Gururajan is often cited by papers focused on Aerospace and Aviation Technology (17 papers), Fault Detection and Control Systems (14 papers) and Target Tracking and Data Fusion in Sensor Networks (10 papers). Srikanth Gururajan collaborates with scholars based in United States, Belgium and Italy. Srikanth Gururajan's co-authors include Yu Gu, Marcello R. Napolitano, Brad Seanor, Giampiero Campa, Matthew B. Rhudy, Jason N. Gross, Marcello Napolitano, Mario Luca Fravolini, Haiyang Chao and Ye Bai and has published in prestigious 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.

In The Last Decade

Srikanth Gururajan

45 papers receiving 653 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Srikanth Gururajan United States 13 400 266 240 191 103 52 671
Jerry Ding United States 14 456 1.1× 162 0.6× 141 0.6× 177 0.9× 256 2.5× 23 723
Feng Yang China 12 155 0.4× 212 0.8× 355 1.5× 170 0.9× 68 0.7× 78 533
Marcello Napolitano United States 17 695 1.7× 398 1.5× 330 1.4× 111 0.6× 225 2.2× 92 1.1k
Brad Seanor United States 17 620 1.6× 560 2.1× 246 1.0× 222 1.2× 181 1.8× 49 1.1k
Garry Einicke Australia 11 217 0.5× 195 0.7× 285 1.2× 77 0.4× 73 0.7× 34 625
P. Kalata United States 9 233 0.6× 226 0.8× 286 1.2× 94 0.5× 130 1.3× 40 598
Qiping Chu Netherlands 19 617 1.5× 911 3.4× 218 0.9× 102 0.5× 161 1.6× 31 1.3k
Federico Corraro Italy 13 676 1.7× 205 0.8× 96 0.4× 70 0.4× 281 2.7× 91 810
Ngoc Phi Nguyen South Korea 16 193 0.5× 437 1.6× 68 0.3× 142 0.7× 139 1.3× 35 667
Joshua Redding United States 11 366 0.9× 95 0.4× 134 0.6× 107 0.6× 277 2.7× 27 568

Countries citing papers authored by Srikanth Gururajan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Srikanth Gururajan

This figure shows the co-authorship network connecting the top 25 collaborators of Srikanth Gururajan. A scholar is included among the top collaborators of Srikanth Gururajan 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 Srikanth Gururajan. Srikanth Gururajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Wang, Jinge, et al.. (2024). Morning Glory Flower Detection in Aerial Images Using Semi-Supervised Segmentation with Gaussian Mixture Models. AgriEngineering. 6(1). 555–573. 1 indexed citations
3.
LeBeau, Raymond, et al.. (2020). An Experimental-Computational Investigation of the Aerodynamics of Damaged UAV Wings. AIAA Scitech 2020 Forum.
4.
Gururajan, Srikanth, et al.. (2020). Evaluation of Workload and Performance during Primary Flight Training with Motion Cueing Seat in an Advanced Aviation Training Device. SAE International Journal of Aerospace. 13(1). 91–106. 1 indexed citations
5.
Gururajan, Srikanth, et al.. (2019). Flights of a Multirotor UAS with Structural Faults: Failures on Composite Propeller(s). Data. 4(3). 128–128. 9 indexed citations
6.
8.
Gururajan, Srikanth, et al.. (2018). Autonomous Quadcopter Navigation Using Vision-Based Landmark Recognition. 2018 Aviation Technology, Integration, and Operations Conference.
9.
Gu, Yu, Haiyang Chao, Srikanth Gururajan, et al.. (2016). Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds. International Journal of Aerospace Engineering. 2016. 1–15. 4 indexed citations
10.
Fravolini, Mario Luca, Matthew B. Rhudy, Srikanth Gururajan, Silvia Cascianelli, & Marcello Napolitano. (2014). Experimental Evaluation of Two Pitot Free Analytical Redundancy Techniques for the Estimation of the Airspeed of an UAV. SAE International Journal of Aerospace. 7(1). 109–116. 12 indexed citations
11.
Gururajan, Srikanth, Mario Luca Fravolini, Matthew B. Rhudy, Antonio Moschitta, & Marcello Napolitano. (2014). Evaluation of Sensor Failure Detection, Identification and Accommodation (SFDIA) Performance Following Common-Mode Failures of Pitot Tubes. SAE technical papers on CD-ROM/SAE technical paper series. 1. 9 indexed citations
12.
Gu, Yu, Srikanth Gururajan, Brad Seanor, Haiyang Chao, & Marcello R. Napolitano. (2013). Building better tools: Experimental UAV research at West Virginia University. 1454–1459. 4 indexed citations
13.
Gross, Jason N., Yu Gu, Matthew B. Rhudy, Srikanth Gururajan, & Marcello R. Napolitano. (2012). Flight-Test Evaluation of Sensor Fusion Algorithms for Attitude Estimation. IEEE Transactions on Aerospace and Electronic Systems. 48(3). 2128–2139. 82 indexed citations
14.
Fravolini, Mario Luca, et al.. (2012). Model-based approaches for the airspeed estimation and fault monitoring of an Unmanned Aerial Vehicle. 18–23. 14 indexed citations
15.
Gu, Yu, et al.. (2010). Development of Adaptive Control Laws for Actuator Fault Accommodation. AIAA Guidance, Navigation, and Control Conference. 2 indexed citations
16.
Gross, Jason N., Yu Gu, Brad Seanor, Srikanth Gururajan, & Marcello Napolitano. (2009). Advanced Research Integrated Avionics (ARIA) System for Fault-Tolerant Flight Research. AIAA Guidance, Navigation, and Control Conference. 12 indexed citations
17.
Liu, Yan, Bojan Čukić, & Srikanth Gururajan. (2007). Validating neural network-based online adaptive systems: a case study. Software Quality Journal. 15(3). 309–326. 12 indexed citations
18.
Liu, Yan, et al.. (2006). Monitoring techniques for an online neuro-adaptive controller. Journal of Systems and Software. 79(11). 1527–1540. 4 indexed citations
19.
Liu, Yan, et al.. (2004). Adaptive control software: can we guarantee safety?. 2. 100–103. 7 indexed citations
20.
Campa, Giampiero, et al.. (2002). On‐line learning neural networks for sensor validation for the flight control system of a B777 research scale model. International Journal of Robust and Nonlinear Control. 12(11). 987–1007. 41 indexed citations

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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