Hrand Aghazarian

49 papers receiving 1.0k citations

Peers

Hrand Aghazarian
Comparison fields: 5 of 79
  • Mechanical Engineering 466
  • Computer Vision and Pattern Recognition 435
  • Aerospace Engineering 351
  • Biomedical Engineering 294
  • Control and Systems Engineering 247
Replace Paolo Pirjanian with:
Paolo Pirjanian United States
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Hrand Aghazarian

Since Specialization
Citations

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

Fields of papers citing papers by Hrand Aghazarian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hrand Aghazarian

This figure shows the co-authorship network connecting the top 25 collaborators of Hrand Aghazarian. A scholar is included among the top collaborators of Hrand Aghazarian 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 Hrand Aghazarian. Hrand Aghazarian 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 15
2
Control Architecture for Robotic Agent Command and Sensing
2
3 23
4 23
5 6
6 40
7
HETEROGENEOUS ROBOTIC SYSTEMS FOR ASSEMBLY AND SERVICING
13
8
Lemur IIb: a robotic system for steep terrain
1
9 10
10 45
11 5
12 56
13 14
14
Tightly-coupled coordination of multi-robot systems for mars exploration
3
15
FIDO: a field integrated design and operations rover for Mars surface exploration
35
16 14
17 44
18
Task Adaptive Walking Robots for Mars Surface Exploration
1
19 26
20 46

About Hrand Aghazarian

Hrand Aghazarian is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Mechanical Engineering, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (26 papers), Robotic Path Planning Algorithms (21 papers) and Planetary Science and Exploration (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (435 citations), Aerospace Engineering (351 citations) and Mechanical Engineering (466 citations). Hrand Aghazarian has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include A. Trebi‐Ollennu, Terrance L. Huntsberger, Paul S. Schenker, Terry Huntsberger, Eric Baumgartner, Michael Garrett, Paolo Pirjanian, Andrew Howard, Anthony Ganino and Ashley Stroupe. Their work appears in journals such as IEEE Transactions on Robotics and Automation, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Autonomous Robots.

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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