Suraj Nair

528 citations
7 papers · 181 indexed · h-index 6
Topics
Robot Manipulation and Learning (4 papers)Robotic Mechanisms and Dynamics (3 papers)Soft Robotics and Applications (2 papers)
Journals
IEEE Robotics and Automation LettersmediaTUM (Technical University of Munich)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
Partner nations
United StatesGermany

In The Last Decade

Suraj Nair

6 papers receiving 166 citations

Peers

Suraj Nair
Comparison fields: 5 of 35
  • Control and Systems Engineering 85
  • Artificial Intelligence 65
  • Biomedical Engineering 59
  • Computer Vision and Pattern Recognition 56
  • Radiology, Nuclear Medicine and Imaging 36
Replace Pramit Dutta with:
Pramit Dutta India
Shijie Yu China
Pengshuai Yin China
Ted Xiao United States
Joel Vidal Spain
Kaushik Shivakumar India
Andrey Kurenkov Kazakhstan
Ahmed A. Abdelrahman Germany
Lingyu Wang Singapore
Luke A. Reisner United States
Suraj Nair relative to Pramit Dutta India Pramit Dutta's profile →
Citations per field
00.5×3.8×
Pramit Dutta · 1×
Citations per year

Countries citing papers authored by Suraj Nair

Since Specialization
Citations

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

Fields of papers citing papers by Suraj Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suraj Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Suraj Nair. A scholar is included among the top collaborators of Suraj Nair 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 Suraj Nair. Suraj Nair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Suraj Nair

Suraj Nair is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Media Technology, having authored 7 papers that have together received 181 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (4 papers), Robotic Mechanisms and Dynamics (3 papers) and Soft Robotics and Applications (2 papers). The work is most often cited by research in Control and Systems Engineering (85 citations), Computer Vision and Pattern Recognition (56 citations) and Ophthalmology (20 citations). Suraj Nair has collaborated with scholars based in United States and Germany. Frequent co-authors include Animesh Garg, Silvio Savarese, Yuke Zhu, Alois Knoll, Danfei Xu, Li Fei-Fei, M. Ali Nasseri, Chris P. Lohmann, M. Eder and Mathias Maier. Their work appears in journals such as IEEE Robotics and Automation Letters, mediaTUM (Technical University of Munich) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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