Ram Vasudevan

3.2k citations
92 papers · 1.9k · 1 hit paper · h-index 23

Impact in

Papers in

Ram Vasudevan

82 papers receiving 1.8k citations

Ram Vasudevan's Hit Papers

Data-Driven Control of Soft Robots Using Koopman Operator Theory 2020 · 194 citations
1940+2+4Years since publication50100150

Peers

Ram Vasudevan
Comparison fields: 5 of 126
  • Automotive Engineering 500
  • Computer Vision and Pattern Recognition 561
  • Control and Systems Engineering 560
  • Safety, Risk, Reliability and Quality 145
  • Aerospace Engineering 299
Replace Jiquan Ngiam with:
Jiquan Ngiam United States
Mattias Wahde Sweden
Ingmar Posner United Kingdom
A. Howard United States
Hongkai Yu United States
Anton Kummert Germany
Se‐Young Oh South Korea
Nicholas Roy United States
Yassine Ruichek France
Jianru Xue China
Ram Vasudevan relative to Jiquan Ngiam United States Jiquan Ngiam's profile →
Citations per field
00.5×2.9×
Jiquan Ngiam · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ram Vasudevan, 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 Ram Vasudevan Line = papers co-authored together Ram Vasudevan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data-Driven Control of Soft Robots Using Koopman Operator Theory
Hit paper breakdown →
2020194
2 2021130
3 2018121
4 2020110
5 200598
6 201484
7 201983
8 201466
9 201765
10 201251
11 201946
12 201043
13 201140
14 201839
15 202139
16 201137
17 201027
18 201026
19 201925
20 202025

About Ram Vasudevan

Ram Vasudevan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Automotive Engineering, Aerospace Engineering and Biomedical Engineering, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (19 papers), Robotic Path Planning Algorithms (19 papers), Robotics and Sensor-Based Localization (15 papers), Video Surveillance and Tracking Methods (10 papers), Robotic Locomotion and Control (9 papers), Advanced Control Systems Optimization (8 papers), Formal Methods in Verification (8 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Automotive Engineering (500 citations), Computer Vision and Pattern Recognition (561 citations), Control and Systems Engineering (560 citations), Safety, Risk, Reliability and Quality (145 citations) and Aerospace Engineering (299 citations). Ram Vasudevan has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Matthew Johnson‐Roberson, Daniel Bruder, Růžena Bajcsy, C. David Remy, Xiaoxiao Du, R. Brent Gillespie, Ruzena Bajcsy, Yu Yao, Ella Atkins and Joshua G. Mangelson. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, The International Journal of Robotics Research, IEEE Transactions on Automatic Control and Nonlinear Analysis Hybrid Systems.

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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