S. Shankar Sastry

28.3k citations
281 papers · 18.6k indexed · 9 hit papers · h-index 58

S. Shankar Sastry

271 papers receiving 17.6k citations

Hit Papers

Fast &#x2113;<inf>1</inf>-minimization algo...319199420262004201550010001.5k2.0k

Peers

S. Shankar Sastry
Comparison fields: 5 of 166
  • Computer Vision and Pattern Recognition 6.8k
  • Control and Systems Engineering 7.1k
  • Aerospace Engineering 5.2k
  • Computer Networks and Communications 3.4k
  • Artificial Intelligence 3.3k
Replace João P. Hespanha with:
João P. Hespanha United States
Shankar Sastry United States
Alan S. Willsky United States
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Shuai Li China
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S. Shankar Sastry relative to João P. Hespanha United States João P. Hespanha's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Shankar Sastry

Since Specialization
Citations

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

Fields of papers citing papers by S. Shankar Sastry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Shankar Sastry. 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 S. Shankar Sastry. The network helps show where S. Shankar Sastry may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20200
4 201615
5
Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior
201438
6
Quadratic Compressive Sensing - A Nonlinear Extension of Compressive Sensing
20132
7
Behavior Modification and Utility Learning via Energy Disaggregation.
20131
8 201028
9
Distributed compression and fusion of nonnegative sparse signals for multiple-view object recognition
20097
10 200912
11 20093
12 200931
13 200893
14
Tracking and Coordination of Multiple Agents Using Sensor Networks: System Design, Algorithms and Experiments Sensor networks that can rapidly locate, pursue and capture numerous moving targets can be used for surveillance of large areas.
20071
15
Autonomous Helicopter Flight via Reinforcement Learning
2003184
16 200314
17 200325
18
System Identification and Control Synthesis for Rotorcraft-based Unmanned Aerial Vehicles
20007
19 199918
20
On motion planning for dextrous manipulation, part I: the problem formulation
198922

About S. Shankar Sastry

S. Shankar Sastry is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering, having authored 281 papers that have together received 18.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (42 papers), Robotic Path Planning Algorithms (40 papers), Guidance and Control Systems (29 papers), Robotics and Sensor-Based Localization (26 papers), Distributed Control Multi-Agent Systems (20 papers), Advanced Control Systems Optimization (17 papers), Energy Efficient Wireless Sensor Networks (17 papers) and Sparse and Compressive Sensing Techniques (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.8k citations), Control and Systems Engineering (7.1k citations) and Aerospace Engineering (5.2k citations). S. Shankar Sastry has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Zexiang Li, Yi Ma, Richard M. Murray, Luca Schenato, Renè Vidal, Stefano Soatto, Claire J. Tomlin, Bruno Sinopoli, Massimo Franceschetti and Allen Y. Yang. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.

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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