Robert D. Howe

14.0k total citations · 2 hit papers
277 papers, 9.6k citations indexed

About

Robert D. Howe is a scholar working on Biomedical Engineering, Control and Systems Engineering and Surgery. According to data from OpenAlex, Robert D. Howe has authored 277 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Biomedical Engineering, 71 papers in Control and Systems Engineering and 69 papers in Surgery. Recurrent topics in Robert D. Howe's work include Soft Robotics and Applications (93 papers), Robot Manipulation and Learning (67 papers) and Tactile and Sensory Interactions (53 papers). Robert D. Howe is often cited by papers focused on Soft Robotics and Applications (93 papers), Robot Manipulation and Learning (67 papers) and Tactile and Sensory Interactions (53 papers). Robert D. Howe collaborates with scholars based in United States, Canada and Australia. Robert D. Howe's co-authors include Aaron M. Dollar, Mark R. Cutkosky, Christopher R. Wagner, Samuel B. Kesner, Pedro J. del Nido, Leif P. Jentoft, Jae Sung Son, Yashraj Narang, Nicholas Stylopoulos and Pierre E. Dupont and has published in prestigious journals such as Science, Nature Communications and Advanced Functional Materials.

In The Last Decade

Robert D. Howe

270 papers receiving 9.2k citations

Hit Papers

A compliant, underactuated hand for robust manipulation 2010 2026 2015 2020 2014 2010 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert D. Howe United States 54 6.3k 3.1k 2.4k 2.3k 1.6k 277 9.6k
Blake Hannaford United States 59 7.8k 1.2× 3.5k 1.1× 2.3k 0.9× 5.4k 2.4× 3.4k 2.1× 318 13.9k
H. Harry Asada United States 51 5.1k 0.8× 3.1k 1.0× 733 0.3× 1.9k 0.8× 891 0.6× 435 9.5k
Kaspar Althoefer United Kingdom 50 6.8k 1.1× 3.1k 1.0× 1.8k 0.7× 2.4k 1.1× 897 0.6× 394 10.2k
Rajni V. Patel Canada 53 5.0k 0.8× 4.5k 1.5× 613 0.3× 2.8k 1.2× 2.4k 1.5× 544 11.0k
Allison M. Okamura United States 61 9.1k 1.4× 3.7k 1.2× 3.9k 1.6× 5.8k 2.6× 3.1k 2.0× 361 14.6k
Septimiu E. Salcudean Canada 54 5.3k 0.8× 2.9k 0.9× 666 0.3× 3.4k 1.5× 1.6k 1.0× 387 10.3k
Giancarlo Ferrigno Italy 49 3.3k 0.5× 1.1k 0.4× 1.5k 0.6× 679 0.3× 981 0.6× 322 7.8k
Conor J. Walsh United States 67 15.4k 2.4× 2.3k 0.7× 1.6k 0.6× 3.0k 1.3× 1.1k 0.7× 255 17.7k
Shuxiang Guo China 51 7.5k 1.2× 1.5k 0.5× 628 0.3× 3.2k 1.4× 2.5k 1.6× 916 12.0k
Elena De Momi Italy 43 2.9k 0.5× 1.3k 0.4× 628 0.3× 860 0.4× 1.5k 1.0× 335 6.6k

Countries citing papers authored by Robert D. Howe

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Howe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert D. Howe. 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 Robert D. Howe. The network helps show where Robert D. Howe may publish in the future.

Co-authorship network of co-authors of Robert D. Howe

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

All Works

20 of 20 papers shown
1.
Alvarez, Jonathan T., Krithika Swaminathan, Andrew I. Chin, et al.. (2024). Estimation of joint torque in dynamic activities using wearable A-mode ultrasound. Nature Communications. 15(1). 5756–5756. 19 indexed citations
2.
Kim, Daekyum, et al.. (2024). Wearable robots for the real world need vision. Science Robotics. 9(90). eadj8812–eadj8812. 8 indexed citations
3.
Liu, Zixi & Robert D. Howe. (2023). Beyond Coulomb: Stochastic Friction Models for Practical Grasping and Manipulation. IEEE Robotics and Automation Letters. 8(8). 5140–5147. 7 indexed citations
4.
Floch, Paul Le, et al.. (2023). Pure Conducting Polymer Hydrogels Increase Signal‐to‐Noise of Cutaneous Electrodes by Lowering Skin Interface Impedance. Advanced Healthcare Materials. 12(17). e2202661–e2202661. 21 indexed citations
5.
Nuckols, Richard W., et al.. (2023). Age-Related Reliability of B-Mode Analysis for Tailored Exosuit Assistance. Sensors. 23(3). 1670–1670. 4 indexed citations
6.
Dalvand, Mohsen Moradi, Saeid Nahavandi, & Robert D. Howe. (2022). General Forward Kinematics for Tendon-Driven Continuum Robots. IEEE Access. 10. 60330–60340. 9 indexed citations
7.
Teeple, Clark B., et al.. (2022). Controlling Palm-Object Interactions Via Friction for Enhanced In-Hand Manipulation. IEEE Robotics and Automation Letters. 7(2). 2258–2265. 12 indexed citations
8.
Nuckols, Richard W., Sangjun Lee, Krithika Swaminathan, et al.. (2021). Individualization of exosuit assistance based on measured muscle dynamics during versatile walking. Science Robotics. 6(60). eabj1362–eabj1362. 90 indexed citations
9.
Dalvand, Mohsen Moradi, Saeid Nahavandi, & Robert D. Howe. (2020). Slack and Excessive Loading Avoidance in n-Tendon Continuum Robots. IEEE Access. 8. 138730–138742. 1 indexed citations
10.
Tschabrunn, Cory M., et al.. (2020). Automatically steering cardiac catheters in vivo with respiratory motion compensation. The International Journal of Robotics Research. 39(5). 586–597. 22 indexed citations
11.
Cheng, Sibo, Yashraj Narang, Canhui Yang, Zhigang Suo, & Robert D. Howe. (2019). Stick‐On Large‐Strain Sensors for Soft Robots. Advanced Materials Interfaces. 6(20). 102 indexed citations
12.
Yamada, Daisuke, et al.. (2019). Ultrasound Imaging Characterization of Soft Tissue Dynamics of the Seated Human Body. Journal of Biomechanical Engineering. 142(6). 1 indexed citations
13.
Perrin, Douglas P., et al.. (2018). High dynamic range ultrasound imaging. International Journal of Computer Assisted Radiology and Surgery. 13(5). 721–729. 6 indexed citations
14.
Dalvand, Mohsen Moradi, Saeid Nahavandi, & Robert D. Howe. (2018). An Analytical Loading Model for <inline-formula> <tex-math notation="LaTeX">$n$</tex-math> </inline-formula>-Tendon Continuum Robots. IEEE Transactions on Robotics. 34(5). 1215–1225. 56 indexed citations
15.
Narang, Yashraj, et al.. (2017). Transforming the Dynamic Response of Robotic Structures and Systems Through Laminar Jamming. IEEE Robotics and Automation Letters. 3(2). 688–695. 56 indexed citations
16.
Brattain, Laura J., et al.. (2016). Algorithms for Automatically Pointing Ultrasound Imaging Catheters. IEEE Transactions on Robotics. 33(1). 81–91. 25 indexed citations
17.
Szayna, Thomas S., Graham E. Fuller, Robert D. Howe, et al.. (1995). Intervention in Intrastate Conflict: Implications for the Army in the Post-Cold War Era. RAND Corporation eBooks. 1 indexed citations
18.
Howe, Robert D., et al.. (1995). Tactile Display of High-Frequency Information in Teleoperation and Virtual Environments.. 4. 387–402. 60 indexed citations
19.
Howe, Robert D., et al.. (1994). Static display of shape.. Proc SPIE. 2351. 250–259. 3 indexed citations
20.
Howe, Robert D. & Mark R. Cutkosky. (1992). Touch sensing for robotic manipulation and recognition. MIT Press eBooks. 55–112. 32 indexed citations

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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