A.A. Goldenberg

7.1k citations
256 papers · 5.0k indexed · h-index 35

A.A. Goldenberg

244 papers receiving 4.7k citations

Peers

A.A. Goldenberg
Comparison fields: 5 of 140
  • Control and Systems Engineering 3.4k
  • Mechanical Engineering 1.7k
  • Biomedical Engineering 1.8k
  • Computer Vision and Pattern Recognition 611
  • Industrial and Manufacturing Engineering 133
Replace Suguru Arimoto with:
Suguru Arimoto Japan
L. Sciavicco Italy
P.K. Khosla United States
Yangmin Li Macao
Chien Chern Cheah Singapore
Richard P. Paul United States
T.C. Hsia United States
Hamid D. Taghirad Iran
Il Hong Suh South Korea
Jeff Trinkle United States
A.A. Goldenberg relative to Suguru Arimoto Japan Suguru Arimoto's profile →
Citations per field
00.5×1.7×
Suguru Arimoto · 1×
Citations per year

Countries citing papers authored by A.A. Goldenberg

Since Specialization
Citations

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

Fields of papers citing papers by A.A. Goldenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201910
2 201810
3 20177
4 201720
5 201520
6 20074
7 20063
8 20057
9 20045
10 200411
11 20035
12 20034
13 200240
14 20028
15 2001171
16 199516
17 199416
18 199312
19
On the bilateral control of master-slave teleoperators
19916
20 1991131

About A.A. Goldenberg

A.A. Goldenberg is a scholar working on Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, having authored 256 papers that have together received 5.0k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (89 papers), Robotic Mechanisms and Dynamics (68 papers), Soft Robotics and Applications (49 papers), Teleoperation and Haptic Systems (37 papers), Dynamics and Control of Mechanical Systems (37 papers), Robotic Path Planning Algorithms (33 papers), Adaptive Control of Nonlinear Systems (27 papers) and Iterative Learning Control Systems (27 papers). The work is most often cited by research in Control and Systems Engineering (3.4k citations), Mechanical Engineering (1.7k citations), Biomedical Engineering (1.8k citations), Computer Vision and Pattern Recognition (611 citations) and Industrial and Manufacturing Engineering (133 citations). A.A. Goldenberg has collaborated with scholars based in Canada, United States and China. Frequent co-authors include James K. Mills, E.J. Davison, Saeid Habibi, R. G. Fenton, K.B. Shimoga, B. Benhabib, Mohammad Reza Sarmasti Emami, İ.B. Türkşen, Guangjun Liu and James M. Drake. Their work appears in journals such as Journal of Dynamic Systems Measurement and Control, IEEE Transactions on Robotics and Automation, Mechanism and Machine Theory, The International Journal of Robotics Research 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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