Siddarth Sen

644 citations
8 papers · 518 · h-index 8

Impact in

Papers in

    • Soft Robotics and Applications 6
    • Anatomy and Medical Technology 3
    • Advanced X-ray and CT Imaging 2
    • Biomedical and Engineering Education 1
    • Surgical Simulation and Training 7

Siddarth Sen

8 papers receiving 501 citations

Peers

Siddarth Sen
Comparison fields: 5 of 56
  • Biomedical Engineering 394
  • Computer Vision and Pattern Recognition 150
  • Health Informatics 9
  • Surgery 239
  • Control and Systems Engineering 137
Replace Adithyavairavan Murali with:
Adithyavairavan Murali United States
Diana C. W. Friedman United States
Konrad Leibrandt United Kingdom
Cyril Novales France
Omid Mohareri Canada
Yangxin Xu Hong Kong
Adnan Munawar United States
Thomas Low United States
Fangxun Zhong Hong Kong
Gauthier Gras United Kingdom
Siddarth Sen relative to Adithyavairavan Murali United States Adithyavairavan Murali's profile →
Citations per field
00.5×1.6×
Adithyavairavan Murali · 1×
Citations per year

Countries citing papers authored by Siddarth Sen

Since Specialization
Citations

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

Fields of papers citing papers by Siddarth Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Siddarth Sen, 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 Siddarth Sen Line = papers co-authored together Siddarth Sen links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2015142
2 2016138
3 201563
4 201459
5 201655
6 201631
7 201521
8 20159

About Siddarth Sen

Siddarth Sen is a scholar working on Biomedical Engineering, Surgery, Computer Vision and Pattern Recognition, Medical Laboratory Technology and Mechanical Engineering, having authored 8 papers that have together received 518 indexed citations. Recurring topics across this work include Surgical Simulation and Training (7 papers), Soft Robotics and Applications (6 papers), Anatomy and Medical Technology (3 papers), Augmented Reality Applications (3 papers), Advanced X-ray and CT Imaging (2 papers), Quality and Safety in Healthcare (1 paper), Biomedical and Engineering Education (1 paper) and Teleoperation and Haptic Systems (1 paper). The work is most often cited by research in Biomedical Engineering (394 citations), Computer Vision and Pattern Recognition (150 citations), Health Informatics (9 citations), Surgery (239 citations) and Control and Systems Engineering (137 citations). Siddarth Sen has collaborated with scholars based in United States. Frequent co-authors include Animesh Garg, Stephen McKinley, Ken Y. Goldberg, Adithyavairavan Murali, Ken Goldberg, David V. Gealy, Pieter Abbeel, S. M. L. Lim, Ben Kehoe and Sachin Patil. Their work appears in journals such as eScholarship (California Digital Library).

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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