Shehryar Khattak

2.4k citations
41 papers · 1.4k indexed · 1 hit paper · h-index 20
Topics
Robotics and Sensor-Based Localization (31 papers)Robotic Path Planning Algorithms (20 papers)3D Surveying and Cultural Heritage (8 papers)

In The Last Decade

Shehryar Khattak

39 papers receiving 1.3k citations

Hit Papers

CERBERUS in the DARPA Subterranean Challenge2022202620232024202250100150

Peers

Shehryar Khattak
Comparison fields: 5 of 63
  • Aerospace Engineering 1.0k
  • Computer Vision and Pattern Recognition 874
  • Geology 192
  • Control and Systems Engineering 179
  • Mechanical Engineering 163
Replace Yash Mulgaonkar with:
Yash Mulgaonkar United States
Petri Tanskanen Switzerland
Teresa Vidal‐Calleja Australia
Frank Mascarich United States
Slawomir Grzonka Germany
Danping Zou China
Mathieu Labbé Canada
Shenghai Yuan Singapore
John Folkesson Sweden
John G. Rogers United States
Shehryar Khattak relative to Yash Mulgaonkar United States Yash Mulgaonkar's profile →
Citations per field
00.5×2.5×
Yash Mulgaonkar · 1×
Citations per year

Countries citing papers authored by Shehryar Khattak

Since Specialization
Citations

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

Fields of papers citing papers by Shehryar Khattak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shehryar Khattak

This figure shows the co-authorship network connecting the top 25 collaborators of Shehryar Khattak. A scholar is included among the top collaborators of Shehryar Khattak 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 Shehryar Khattak. Shehryar Khattak 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
#WorkIndexed citations
1 1
2 4
3 18
4 3
5 1
6 1
7 0
8
CERBERUS in the DARPA Subterranean Challengebreakdown →
155
9 7
10 99
11 157
12 8
13 59
14 61
15 4
16 44
17 2
18 35
19 41
20 122

About Shehryar Khattak

Shehryar Khattak is a scholar working on Geology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (31 papers), Robotic Path Planning Algorithms (20 papers) and 3D Surveying and Cultural Heritage (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (874 citations), Aerospace Engineering (1.0k citations) and Geology (192 citations). Shehryar Khattak has collaborated with scholars based in United States, Switzerland and Norway. Frequent co-authors include Kostas Alexis, Christos Papachristos, Frank Mascarich, Tung Dang, Marco Hutter, Marco Tranzatto, Huan Nguyen, Julian Nubert, Mihir Dharmadhikari and Roland Siegwart. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and Science Robotics.

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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