Kumar Shaurya Shankar

510 citations
5 papers · 276 indexed · 1 hit paper · h-index 5
Topics
Advanced Vision and Imaging (3 papers)Robotics and Sensor-Based Localization (3 papers)3D Surveying and Cultural Heritage (2 papers)
Journals
Adaptive Agents and Multi-Agents Systems
Partner nations
United StatesAustria

In The Last Decade

Kumar Shaurya Shankar

5 papers receiving 263 citations

Hit Papers

Learning monocular reactive UAV control in cluttered natu...2013202620172021201350100150200250

Peers

Kumar Shaurya Shankar
Comparison fields: 5 of 35
  • Computer Vision and Pattern Recognition 185
  • Aerospace Engineering 160
  • Artificial Intelligence 89
  • Control and Systems Engineering 54
  • Automotive Engineering 28
Replace Maggie Wigness with:
Maggie Wigness United States
David Bonnafous France
Hongkai Ye China
Kristopher Kriechbaum United States
Sunggoo Jung South Korea
Johannes Pellenz Germany
Shuaijun Wang China
Jack Collier Canada
Kyel Ok United States
Franz Andert Germany
Kumar Shaurya Shankar relative to Maggie Wigness United States Maggie Wigness's profile →
Citations per field
00.5×6.3×
Maggie Wigness · 1×
Citations per year

Countries citing papers authored by Kumar Shaurya Shankar

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Shaurya Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumar Shaurya Shankar

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

All Works

About Kumar Shaurya Shankar

Kumar Shaurya Shankar is a scholar working on Geology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 5 papers that have together received 276 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Robotics and Sensor-Based Localization (3 papers) and 3D Surveying and Cultural Heritage (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (185 citations), Aerospace Engineering (160 citations) and Artificial Intelligence (89 citations). Kumar Shaurya Shankar has collaborated with scholars based in United States and Austria. Frequent co-authors include Andreas Wendel, J. Andrew Bagnell, Martial Hebert, Stéphane Ross, Debadeepta Dey, Nathan Michael, Chairma Lakshmi K R, T. Muthuramalingam, Bo Fu and Prasanna Velagapudi. Their work appears in journals such as Adaptive Agents and Multi-Agents 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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