Ram Vasudevan

3.1k total citations · 1 hit paper
91 papers, 1.8k citations indexed

About

Ram Vasudevan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Ram Vasudevan has authored 91 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 31 papers in Control and Systems Engineering and 22 papers in Automotive Engineering. Recurrent topics in Ram Vasudevan's work include Autonomous Vehicle Technology and Safety (19 papers), Robotic Path Planning Algorithms (19 papers) and Robotics and Sensor-Based Localization (15 papers). Ram Vasudevan is often cited by papers focused on Autonomous Vehicle Technology and Safety (19 papers), Robotic Path Planning Algorithms (19 papers) and Robotics and Sensor-Based Localization (15 papers). Ram Vasudevan collaborates with scholars based in United States, Sweden and France. Ram Vasudevan's co-authors include Matthew Johnson‐Roberson, Daniel Bruder, Růžena Bajcsy, Xiaoxiao Du, C. David Remy, Ruzena Bajcsy, R. Brent Gillespie, Yu Yao, Ella Atkins and Joshua G. Mangelson and has published in prestigious journals such as Nature Communications, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Ram Vasudevan

80 papers receiving 1.7k citations

Hit Papers

Data-Driven Control of Soft Robots Using Koopman Operator... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ram Vasudevan United States 23 553 548 493 291 269 91 1.8k
Anton Kummert Germany 20 733 1.3× 342 0.6× 311 0.6× 139 0.5× 92 0.3× 228 1.7k
Yong-Ping Zhao China 26 446 0.8× 694 1.3× 249 0.5× 151 0.5× 73 0.3× 114 2.0k
Huawei Liang China 20 452 0.8× 283 0.5× 497 1.0× 275 0.9× 95 0.4× 125 1.6k
Xuewen Rong China 25 403 0.7× 872 1.6× 278 0.6× 241 0.8× 792 2.9× 157 2.1k
Meeko Oishi United States 21 348 0.6× 659 1.2× 135 0.3× 339 1.2× 63 0.2× 107 1.6k
Mattias Wahde Sweden 20 357 0.6× 165 0.3× 471 1.0× 142 0.5× 67 0.2× 64 1.6k
Hong Cheng China 33 1.8k 3.2× 514 0.9× 195 0.4× 166 0.6× 1.1k 4.0× 232 3.8k
Dean Pomerleau United States 25 1.7k 3.0× 675 1.2× 1.2k 2.4× 357 1.2× 182 0.7× 80 3.7k
Xiaofeng Liu China 21 315 0.6× 396 0.7× 91 0.2× 109 0.4× 174 0.6× 129 1.5k
Wisnu Jatmiko Indonesia 22 535 1.0× 178 0.3× 114 0.2× 236 0.8× 407 1.5× 226 1.9k

Countries citing papers authored by Ram Vasudevan

Since Specialization
Citations

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

Fields of papers citing papers by Ram Vasudevan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ram Vasudevan

This figure shows the co-authorship network connecting the top 25 collaborators of Ram Vasudevan. A scholar is included among the top collaborators of Ram Vasudevan 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 Ram Vasudevan. Ram Vasudevan 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.
Zhang, Bohao, et al.. (2025). Jointed tails enhance control of three-dimensional body rotation. Journal of The Royal Society Interface. 22(223). 20240355–20240355.
3.
Ivanović, Vladimir, et al.. (2024). REFINE: Reachability-Based Trajectory Design Using Robust Feedback Linearization and Zonotopes. IEEE Transactions on Robotics. 40. 2060–2080. 7 indexed citations
4.
Zhang, Bohao, et al.. (2024). Serving Time: Real-Time, Safe Motion Planning and Control for Manipulation of Unsecured Objects. IEEE Robotics and Automation Letters. 9(3). 2383–2390. 6 indexed citations
5.
Teng, Sangli, Ashkan Jasour, Ram Vasudevan, & Maani Ghaffari. (2024). Convex geometric motion planning of multi-body systems on Lie groups via variational integrators and sparse moment relaxation. The International Journal of Robotics Research. 44(10-11). 1784–1813.
6.
Vasudevan, Ram, et al.. (2023). RADIUS: Risk-Aware, Real-Time, Reachability-Based Motion Planning. 3 indexed citations
7.
Johnson‐Roberson, Matthew, et al.. (2023). CLONeR: Camera-Lidar Fusion for Occupancy Grid-Aided Neural Representations. IEEE Robotics and Automation Letters. 8(5). 2812–2819. 17 indexed citations
8.
Teng, Sangli, Ashkan Jasour, Ram Vasudevan, & Maani Ghaffari. (2023). Convex Geometric Motion Planning on Lie Groups via Moment Relaxation. 4 indexed citations
9.
Ward, M. J., et al.. (2022). Predicting Sagittal-Plane Swing Hip Kinematics in Response to Trips. IEEE Robotics and Automation Letters. 7(3). 7542–7549. 1 indexed citations
10.
Yao, Yu, Ella Atkins, Matthew Johnson‐Roberson, Ram Vasudevan, & Xiaoxiao Du. (2021). BiTraP: Bi-Directional Pedestrian Trajectory Prediction With Multi-Modal Goal Estimation. IEEE Robotics and Automation Letters. 6(2). 1463–1470. 123 indexed citations
11.
Du, Xiaoxiao, Ram Vasudevan, & Matthew Johnson‐Roberson. (2020). Unsupervised Pedestrian Pose Prediction: A Deep Predictive Coding Network-Based Approach for Autonomous Vehicle Perception. IEEE Robotics & Automation Magazine. 27(2). 129–138. 4 indexed citations
12.
Vasudevan, Ram, et al.. (2020). Low Latency Trajectory Predictions for Interaction Aware Highway Driving. IEEE Robotics and Automation Letters. 5(4). 5456–5463. 1 indexed citations
13.
Vasudevan, Ram, et al.. (2019). PedX: Benchmark Dataset for Metric 3-D Pose Estimation of Pedestrians in Complex Urban Intersections. IEEE Robotics and Automation Letters. 4(2). 1940–1947. 45 indexed citations
14.
Bu, Fan, Trinh Le, Xiaoxiao Du, Ram Vasudevan, & Matthew Johnson‐Roberson. (2019). Pedestrian Planar LiDAR Pose (PPLP) Network for Oriented Pedestrian Detection Based on Planar LiDAR and Monocular Images. IEEE Robotics and Automation Letters. 5(2). 1626–1633. 23 indexed citations
15.
Vasudevan, Ram, et al.. (2019). Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments. IEEE Robotics and Automation Letters. 4(2). 2235–2241. 83 indexed citations
16.
Mohan, Shankar, Jason B. Siegel, Anna G. Stefanopoulou, & Ram Vasudevan. (2018). An Energy-Optimal Warm-Up Strategy for Li-Ion Batteries and Its Approximations. IEEE Transactions on Control Systems Technology. 27(3). 1165–1180. 10 indexed citations
17.
Shia, Victor, et al.. (2018). Stability basin estimates fall risk from observed kinematics, demonstrated on the Sit-to-Stand task. Journal of Biomechanics. 72. 37–45. 10 indexed citations
18.
Moore, Talia Y., Kimberly L. Cooper, Andrew A. Biewener, & Ram Vasudevan. (2017). Unpredictability of escape trajectory explains predator evasion ability and microhabitat preference of desert rodents. Nature Communications. 8(1). 440–440. 63 indexed citations
19.
González, Humberto, Ram Vasudevan, Maryam Kamgarpour, et al.. (2010). A numerical method for the optimal control of switched systems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 7519–7526. 26 indexed citations
20.
Vasudevan, Ram. (1981). Issues in the Design and Development of Real-Time Data Acquisition and Control Systems.. 73–77.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026