Aman Behal

3.8k citations
125 papers · 2.9k indexed · h-index 30

Aman Behal

121 papers receiving 2.7k citations

Peers

Aman Behal
Comparison fields: 5 of 96
  • Control and Systems Engineering 1.8k
  • Human-Computer Interaction 199
  • Computer Vision and Pattern Recognition 732
  • Aerospace Engineering 755
  • Media Technology 170
Replace Keigo Watanabe with:
Keigo Watanabe Japan
Hong Liu China
M. O. Tokhi United Kingdom
Luigi Villani Italy
Il Hong Suh South Korea
Claudio Melchiorri Italy
Kui Yuan China
Youcef Mezouar France
Yoichi Hori Japan
Paolo Robuffo Giordano France
Aman Behal relative to Keigo Watanabe Japan Keigo Watanabe's profile →
Citations per field
00.5×4.0×
Keigo Watanabe · 1×
Citations per year

Countries citing papers authored by Aman Behal

Since Specialization
Citations

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

Fields of papers citing papers by Aman Behal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20193
3 20181
4 20172
5
Learning real manipulation tasks from virtual demonstrations using LSTM
201618
6
Trajectory Adaptation of Robot Arms for Head-Pose Dependent Assistive Tasks.
20163
7
A Real-Time Technique for Positioning a Wheelchair-Mounted Robotic Arm for Household Manipulation Tasks
20167
8 201633
9 20168
10 20154
11 201144
12 201117
13 200934
14 20084
15 200650
16 20062
17 200412
18 2002186
19 2001128
20 200036

About Aman Behal

Aman Behal is a scholar working on Control and Systems Engineering, Human-Computer Interaction, Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology, having authored 125 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (27 papers), Robot Manipulation and Learning (21 papers), Aeroelasticity and Vibration Control (20 papers), Advanced Vision and Imaging (16 papers), Gaze Tracking and Assistive Technology (12 papers), Soft Robotics and Applications (11 papers), Sensorless Control of Electric Motors (11 papers) and Magnetic Bearings and Levitation Dynamics (10 papers). The work is most often cited by research in Control and Systems Engineering (1.8k citations), Human-Computer Interaction (199 citations), Computer Vision and Pattern Recognition (732 citations), Aerospace Engineering (755 citations) and Media Technology (170 citations). Aman Behal has collaborated with scholars based in United States, Hungary and Italy. Frequent co-authors include D.M. Dawson, Warren E. Dixon, Erkan Zergeroğlu, Pier Marzocca, Amit Kumar Jain, Y. Fang, Ned Mohan, D. Dawson, Dae‐Jin Kim and Siddharth P. Nagarkatti. Their work appears in journals such as Journal of Guidance Control and Dynamics, IEEE Transactions on Control Systems Technology, IEEE Transactions on Automatic Control, Robotics and IEEE/ASME Transactions on Mechatronics.

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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