Ali Torabi

28 papers receiving 550 citations

Peers

Ali Torabi
Comparison fields: 5 of 103
  • Health Informatics 12
  • Control and Systems Engineering 209
  • Rehabilitation 31
  • Biomedical Engineering 200
  • Computer Vision and Pattern Recognition 87
Replace Thiusius Rajeeth Savarimuthu with:
Thiusius Rajeeth Savarimuthu Denmark
Luige Vlădăreanu Romania
Jay Carriere Canada
Bharat Singh India
Lars Johannsmeier Germany
Yanhong Peng Japan
Erkan Kaplanoğlu Türkiye
Daniel Leidner Germany
Nilo T. Bugtai Philippines
Raffaele Limosani Italy
Ali Torabi relative to Thiusius Rajeeth Savarimuthu Denmark Thiusius Rajeeth Savarimuthu's profile →
Citations per field
00.5×1.5×2.5×
Thiusius Rajeeth Savarimuthu · 1×
Citations per year

Countries citing papers authored by Ali Torabi

Since Specialization
Citations

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

Fields of papers citing papers by Ali Torabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020188
2 202175
3 202139
4 201927
5 202027
6 201722
7 201621
8 202216
9 202215
10 201814
11 202113
12 201913
13 202011
14 201911
15 20219
16 20208
17 20168
18 20237
19 20176
20 20216

About Ali Torabi

Ali Torabi is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Cognitive Neuroscience and Surgery, having authored 31 papers that have together received 556 indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (11 papers), Robot Manipulation and Learning (10 papers), Soft Robotics and Applications (6 papers), Prosthetics and Rehabilitation Robotics (5 papers), Robotic Path Planning Algorithms (4 papers), EEG and Brain-Computer Interfaces (4 papers), Surgical Simulation and Training (3 papers) and Robotic Mechanisms and Dynamics (3 papers). The work is most often cited by research in Health Informatics (12 citations), Control and Systems Engineering (209 citations), Rehabilitation (31 citations), Biomedical Engineering (200 citations) and Computer Vision and Pattern Recognition (87 citations). Ali Torabi has collaborated with scholars based in Canada, Iran and China. Frequent co-authors include Mahdi Tavakoli, Jay Carriere, Vivian K. Mushahwar, Liang Ding, Hongjun Xing, Haibo Gao, Mojtaba Sharifi, Kourosh Zareinia, Garnette R. Sutherland and Mohammad Reza Daliri. Their work appears in journals such as Mechatronics, IEEE Robotics and Automation Letters, Robotica, Neural Processing Letters and BMC Medical Informatics and Decision Making.

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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