David Howard

2.2k total citations · 1 hit paper
90 papers, 1.4k citations indexed

About

David Howard is a scholar working on Biomedical Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, David Howard has authored 90 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 27 papers in Artificial Intelligence and 23 papers in Mechanical Engineering. Recurrent topics in David Howard's work include Soft Robotics and Applications (27 papers), Modular Robots and Swarm Intelligence (20 papers) and Robot Manipulation and Learning (17 papers). David Howard is often cited by papers focused on Soft Robotics and Applications (27 papers), Modular Robots and Swarm Intelligence (20 papers) and Robot Manipulation and Learning (17 papers). David Howard collaborates with scholars based in Australia, United Kingdom and Italy. David Howard's co-authors include Joshua Pinskier, Gary W. Delaney, Jack Collins, Shelvin Chand, Chunhui Wang, Larry Bull, Saeb Mousavi, Fenghua Zhang, Jinsong Leng and Simon M. Harrison and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

David Howard

84 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Soft Pneumatic Actuators: A Review of Design, Fabrication, Modeling, Sensing, Control and Applications

2022 208 citations Matheus S. Xavier, Joshua Pinskier et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Howard Australia	16	788	424	337	207	173	90	1.4k
Ligang Yao China	25	560 0.7×	855 2.0×	903 2.7×	294 1.4×	136 0.8×	118	2.1k
Yasushi Mae Japan	19	731 0.9×	279 0.7×	559 1.7×	193 0.9×	99 0.6×	244	1.7k
Josie Hughes Switzerland	21	1.2k 1.5×	614 1.4×	578 1.7×	94 0.5×	89 0.5×	117	1.8k
Qigao Fan China	21	382 0.5×	197 0.5×	315 0.9×	588 2.8×	109 0.6×	94	1.4k
Emanuele Guglielmino Italy	22	988 1.3×	589 1.4×	650 1.9×	97 0.5×	105 0.6×	48	1.4k
Shiqiang Zhu China	23	565 0.7×	642 1.5×	775 2.3×	102 0.5×	98 0.6×	140	1.8k
Yingzhong Tian China	18	1.3k 1.6×	507 1.2×	263 0.8×	261 1.3×	39 0.2×	104	1.8k
Sungchul Kang South Korea	26	1.1k 1.4×	531 1.3×	812 2.4×	162 0.8×	55 0.3×	147	1.9k
Yanhe Zhu China	27	1.5k 1.8×	754 1.8×	622 1.8×	119 0.6×	60 0.3×	237	2.5k
Shaohui Foong Singapore	22	525 0.7×	535 1.3×	428 1.3×	240 1.2×	55 0.3×	162	1.6k

Countries citing papers authored by David Howard

Since Specialization

Citations

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

Fields of papers citing papers by David Howard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Howard

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tian, Leimin, Pavan Sikka, Jason Williams, et al.. (2025). A Framework for Dynamic Situational Awareness in Human–Robot Teams: An Interview Study. ACM Transactions on Human-Robot Interaction. 15(1). 1–37. 1 indexed citations

Howard, David, et al.. (2025). A democratized bimodal model of research for soft robotics: Integrating slow and fast science. Science Robotics. 10(99). eadr2708–eadr2708. 1 indexed citations

Pinskier, Joshua, et al.. (2024). A Compliant Robotic Leg Based on Fibre Jamming. IEEE Transactions on Robotics. 40. 4578–4597. 6 indexed citations

Douglas, David, Justine Lacey, & David Howard. (2024). Ethical risk for AI. AI and Ethics. 5(3). 2189–2203. 4 indexed citations

Robinson, Nicole, Jason Williams, David Howard, et al.. (2024). Human-Robot Team Performance Compared to Full Robot Autonomy in 16 Real-World Search and Rescue Missions: Adaptation of the DARPA Subterranean Challenge. ACM Transactions on Human-Robot Interaction. 14(1). 1–30.

Howard, David, et al.. (2024). Learning Classifier Systems as a Solver for the Abstraction and Reasoning Corpus. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1770–1778.

Howard, David, et al.. (2024). Jellyphant: A Soft, Elephant Trunk-Inspired Robotic Arm That Can Grab Objects. Frontiers for Young Minds. 12. 1 indexed citations

Newbury, R., et al.. (2024). A Review of Differentiable Simulators. IEEE Access. 12. 97581–97604. 5 indexed citations

Pandey, Ajay K., David Howard, Jonathan Roberts, et al.. (2023). Optimal Vision-Based Orientation Steering Control for a 3-D Printed Dexterous Snake-Like Manipulator to Assist Teleoperation. IEEE/ASME Transactions on Mechatronics. 29(2). 1260–1271. 5 indexed citations

10.

Xavier, Matheus S., Simon M. Harrison, David Howard, Yuen Kuan Yong, & Andrew J. Fleming. (2023). Modeling of soft fluidic actuators using fluid–structure interaction simulations with underwater applications. International Journal of Mechanical Sciences. 255. 108437–108437. 24 indexed citations

11.

McGrath, Melanie J., Claire Mason, Glenda Amayo Caldwell, et al.. (2023). Empowering People in Human-Robot Collaboration: Why, How, When, and for Whom. 684–688. 1 indexed citations

12.

Douglas, David, Justine Lacey, & David Howard. (2022). Ethical risks of AI-designed products: bespoke surgical tools as a case study. AI and Ethics. 3(4). 1117–1133. 4 indexed citations

13.

Howard, David, Glenda Amayo Caldwell, Jared Donovan, et al.. (2022). Empowering People in Human-Robot Collaboration: Bringing Together and Synthesising Perspectives. 352–355. 3 indexed citations

14.

Douglas, David, Justine Lacey, & David Howard. (2022). Ethical responsibility and computational design: bespoke surgical tools as an instructive case study. Ethics and Information Technology. 24(1). 8 indexed citations

15.

Pandey, Ajay K., et al.. (2022). End-to-End Design of Bespoke, Dexterous Snake-Like Surgical Robots: A Case Study With the RAVEN II. IEEE Transactions on Robotics. 38(5). 2827–2840. 20 indexed citations

16.

Nitschke, Geoff & David Howard. (2021). AutoFac: The Perpetual Robot Machine. IEEE Transactions on Artificial Intelligence. 3(1). 2–10. 9 indexed citations

17.

Douglas, David, David Howard, & Justine Lacey. (2021). Moral responsibility for computationally designed products. AI and Ethics. 1(3). 273–281. 4 indexed citations

18.

Pandey, Ajay K., et al.. (2021). SnakeRaven: Teleoperation of a 3D Printed Snake-like Manipulator Integrated to the RAVEN II Surgical Robot. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5282–5288. 9 indexed citations

19.

Howard, David, et al.. (2019). Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance Targeting Neuromorphic Processors. IEEE Transactions on Neural Networks and Learning Systems. 31(9). 3305–3318. 43 indexed citations

20.

Howard, David, et al.. (2017). Self-Adaptive Differential Evolution for Bio-Inspired Neuromorphic Collision Avoidance. arXiv (Cornell University). 1 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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