Ram Vasudevan

3.2k citations
95 papers · 2.0k · 1 hit paper · h-index 24

Impact in

Papers in

Ram Vasudevan

85 papers receiving 1.9k citations

Ram Vasudevan's Hit Papers

Data-Driven Control of Soft Robots Using Koopman Operator Theory 2020 · 196 citations
1960+2+4Years since publication50100150

Peers

Ram Vasudevan
Comparison fields: 5 of 127
  • Automotive Engineering 535
  • Computer Vision and Pattern Recognition 621
  • Control and Systems Engineering 586
  • Safety, Risk, Reliability and Quality 151
  • Aerospace Engineering 322
Replace Jiquan Ngiam with:
Jiquan Ngiam United States
Hongkai Yu United States
Mattias Wahde Sweden
Jianru Xue China
Yassine Ruichek France
Ingmar Posner United Kingdom
Sridhar Lakshmanan United States
Di Feng Germany
Xizhou Zhu China
Se‐Young Oh South Korea
Ram Vasudevan relative to Jiquan Ngiam United States Jiquan Ngiam's profile →
Citations per field
00.5×2.8×
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 95 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 →
2020196
2 2021136
3 2018128
4 2020110
5 2005101
6 201490
7 201987
8 201475
9 201766
10 201252
11 201948
12 201047
13 202146
14 201142
15 201141
16 201840
17 201028
18 201028
19 201928
20 202027

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 95 papers that have together received 2.0k 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), Robotic Locomotion and Control (10 papers), Video Surveillance and Tracking Methods (10 papers), Advanced Vision and Imaging (9 papers), Advanced Control Systems Optimization (8 papers) and Formal Methods in Verification (8 papers). The work is most often cited by research in Automotive Engineering (535 citations), Computer Vision and Pattern Recognition (621 citations), Control and Systems Engineering (586 citations), Safety, Risk, Reliability and Quality (151 citations) and Aerospace Engineering (322 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, Xiaoxiao Du, C. David Remy, Ruzena Bajcsy, R. Brent Gillespie, Ella Atkins, Yu Yao 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 Neurosurgery.

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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