Anupam Saxena
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- Topology Optimization in Engineering 41
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- Piezoelectric Actuators and Control 32
- Robot Manipulation and Learning 14
- Robotic Mechanisms and Dynamics 12
- Mechanics of Materials top 5%
- Composite Structure Analysis and Optimization 12
- Rehabilitation top 10%
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- Manufacturing Process and Optimization 14
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- Muscle activation and electromyography studies 12
- Prosthetics and Rehabilitation Robotics 6
- Co-authors
- G. K. AnanthasureshS. N. KramerAshish DuttaNilesh D. MankameAshok KumarRoger A. SauerLaxmidhar BeheraTomoya Tamei
- Journals
- IEEE Transactions on Biomedical Engineering (1 paper)International Journal for Numerical Methods in Engineering (2 papers)PLoS Computational Biology (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Anupam Saxena
85 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 82
- Civil and Structural Engineering 831
- Control and Systems Engineering 749
- Mechanics of Materials 369
- Computational Theory and Mathematics 221
- Rehabilitation 72
Countries citing papers authored by Anupam Saxena
This map shows the geographic impact of Anupam Saxena'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 Anupam Saxena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupam Saxena more than expected).
Fields of papers citing papers by Anupam Saxena
This network shows the impact of papers produced by Anupam Saxena. 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 Anupam Saxena. The network helps show where Anupam Saxena may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anupam Saxena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2015 | 5 | |
| 8 | 2012 | 3 | |
| 9 | 2012 | 24 | |
| 10 | 2010 | 1 | |
| 11 | 2010 | 23 | |
| 12 | 2010 | 3 | |
| 13 | 2010 | 2 | |
| 14 | 2009 | 3 | |
| 15 | 2008 | 36 | |
| 16 | 2007 | 8 | |
| 17 | 2003 | 3 | |
| 18 | 2002 | 15 | |
| 19 | 2000 | 184 | |
| 20 | 1999 | 112 |
About Anupam Saxena
Anupam Saxena is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Industrial and Manufacturing Engineering, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topology Optimization in Engineering (41 papers), Piezoelectric Actuators and Control (32 papers), Robot Manipulation and Learning (14 papers), Manufacturing Process and Optimization (14 papers), Composite Structure Analysis and Optimization (12 papers), Robotic Mechanisms and Dynamics (12 papers), Muscle activation and electromyography studies (12 papers) and Prosthetics and Rehabilitation Robotics (6 papers). The work is most often cited by research in Civil and Structural Engineering (831 citations), Control and Systems Engineering (749 citations) and Mechanics of Materials (369 citations). Anupam Saxena has collaborated with scholars based in India, United States and Germany. Frequent co-authors include G. K. Ananthasuresh, S. N. Kramer, Ashish Dutta, Nilesh D. Mankame, Ashok Kumar, Roger A. Sauer, Laxmidhar Behera, Tomoya Tamei, Tomohiro Shibata and Prabhat Munshi. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, International Journal for Numerical Methods in Engineering and PLoS Computational Biology.
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.