Subodh Bhandari

576 total citations
67 papers, 444 citations indexed

About

Subodh Bhandari is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Subodh Bhandari has authored 67 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Aerospace Engineering, 23 papers in Computer Vision and Pattern Recognition and 16 papers in Control and Systems Engineering. Recurrent topics in Subodh Bhandari's work include Robotic Path Planning Algorithms (22 papers), Robotics and Sensor-Based Localization (12 papers) and Smart Agriculture and AI (11 papers). Subodh Bhandari is often cited by papers focused on Robotic Path Planning Algorithms (22 papers), Robotics and Sensor-Based Localization (12 papers) and Smart Agriculture and AI (11 papers). Subodh Bhandari collaborates with scholars based in United States and Germany. Subodh Bhandari's co-authors include Amar Raheja, Richard Colgren, Nicholas Anderson, Mohammad Reza Chaichi, Frank C. Sanders, Mark B. Tischler, Jeffrey G. McDonald, Ke Ding, Jimmy Lopez and Jonathan Novak and has published in prestigious journals such as AIAA Guidance, Navigation, and Control Conference and Exhibit, AIAA Atmospheric Flight Mechanics Conference and Exhibit and AIAA Guidance, Navigation, and Control Conference.

In The Last Decade

Subodh Bhandari

59 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Subodh Bhandari United States	12	214	151	109	64	53	67	444
Emili Hernández Spain	17	295 1.4×	229 1.5×	54 0.5×	96 1.5×	77 1.5×	34	673
Mohamed Abdelkader Saudi Arabia	12	208 1.0×	126 0.8×	75 0.7×	29 0.5×	83 1.6×	34	488
Pratap Tokekar United States	6	244 1.1×	219 1.5×	68 0.6×	55 0.9×	67 1.3×	9	522
Fernando Vanegas Australia	14	393 1.8×	331 2.2×	45 0.4×	113 1.8×	64 1.2×	40	647
Joshua Vander Hook United States	12	369 1.7×	282 1.9×	88 0.8×	60 0.9×	108 2.0×	35	740
Vitor Guizilini Australia	17	269 1.3×	451 3.0×	32 0.3×	55 0.9×	90 1.7×	54	694
Laszlo Techy United States	9	178 0.8×	140 0.9×	97 0.9×	20 0.3×	27 0.5×	16	373
Gregory Hitz Switzerland	10	283 1.3×	232 1.5×	49 0.4×	19 0.3×	107 2.0×	15	524
Rodney Walker Australia	14	299 1.4×	241 1.6×	43 0.4×	13 0.2×	39 0.7×	30	598
A. Martínez United States	7	210 1.0×	158 1.0×	65 0.6×	36 0.6×	30 0.6×	27	383

Countries citing papers authored by Subodh Bhandari

Since Specialization

Citations

This map shows the geographic impact of Subodh Bhandari'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 Subodh Bhandari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subodh Bhandari more than expected).

Fields of papers citing papers by Subodh Bhandari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subodh Bhandari. 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 Subodh Bhandari. The network helps show where Subodh Bhandari may publish in the future.

Co-authorship network of co-authors of Subodh Bhandari

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

All Works

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20 of 20 papers shown

González, Cristóbal, et al.. (2024). Investigating the potential of UAV-based hyperspectral sensor in detecting powdery mildew in grapes. 6–6. 1 indexed citations

Bhandari, Subodh, et al.. (2023). Machine learning models for detecting and isolating weeds from strawberry plants using UAVs. 8–8. 3 indexed citations

Bhandari, Subodh, et al.. (2023). Collision Avoidance System for a Multicopter using Stereoscopic Vision with Target Detection and Tracking Capabilities. AIAA SCITECH 2023 Forum. 2 indexed citations

Bhandari, Subodh, et al.. (2023). Design, Modeling, Simulation, and Flight Testing of a Custom-Built Tail-Sitter UAV. AIAA SCITECH 2023 Forum.

Bhandari, Subodh, et al.. (2023). Collaboration between UAVs and UGVs for site-specific application of chemicals. 20–20. 1 indexed citations

Kim, David, et al.. (2021). Collaboration between Multiple UAVs for Fire Detection and Suppression. 730–737. 3 indexed citations

Bhandari, Subodh, et al.. (2020). Obstacle Detection and Avoidance System for Small UAVs using a LiDAR. 633–640. 29 indexed citations

Chaichi, Mohammad Reza, et al.. (2019). Water and Nitrogen use Efficiency of Lettuce under Water Stressed Growing Conditions. 4(2). 111–120.

Bhattacharya, S., Dwijesh Ray, A. D. Shukla, et al.. (2019). Visible/Near Infrared (VNIR) Spectral Characterization of Borates from Puga Hot Spring Deposit, Ladakh, India and Its Implications for Mars. Lunar and Planetary Science Conference. 1194. 1 indexed citations

10.

Raheja, Amar, et al.. (2019). Machine learning models for predicting lettuce health using UAV imageries. 24–24. 2 indexed citations

11.

Bhandari, Subodh, et al.. (2019). Autonomous Navigation of a Quadcopter in Indoor Environments. AIAA Scitech 2019 Forum. 3 indexed citations

12.

Bhandari, Subodh, et al.. (2018). Lessons Learned from UAV-Based Remote Sensing for Precision Agriculture. 458–467. 9 indexed citations

13.

Asher, M. J. C., et al.. (2018). Increasing the Accuracy of 3-D Maps Created using a UAV-Based LIDAR. 6 indexed citations

14.

Raheja, Amar, et al.. (2017). A predictive model for turfgrass color and quality evaluation using deep learning and UAV imageries. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10218. 102180H–102180H. 6 indexed citations

15.

Ding, Ke, et al.. (2016). Application of machine learning for the evaluation of turfgrass plots using aerial images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9866. 98660I–98660I. 7 indexed citations

16.

Bhandari, Subodh & Jonathan Novak. (2015). Neural Network Based Control of an Airplane UAV using Radial Basis Functions. AIAA Guidance, Navigation, and Control Conference. 3 indexed citations

17.

Bhandari, Subodh, et al.. (2015). Engaging Students in Multidisciplinary Projects in Unmanned Vehicles Technologies for Enhanced Learning Experiences. 26.607.1–26.607.16.

18.

Bhandari, Subodh, et al.. (2015). A Ground Control Station for Multivehicular Control and Data Visualization. 3 indexed citations

19.

Bhandari, Subodh, et al.. (2013). Avionics System for UAV Flight Controls Research. 9 indexed citations

20.

Bhandari, Subodh, et al.. (2012). Modeling and Control of UAVs using Neural Networks. AIAA Modeling and Simulation Technologies Conference. 5 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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