Frank L. Hammond

1.2k citations
64 papers · 859 indexed · h-index 17
Topics
Soft Robotics and Applications (23 papers)Robot Manipulation and Learning (19 papers)Muscle activation and electromyography studies (16 papers)

In The Last Decade

Frank L. Hammond

59 papers receiving 841 citations

Peers

Frank L. Hammond
Comparison fields: 5 of 96
  • Biomedical Engineering 671
  • Cognitive Neuroscience 181
  • Mechanical Engineering 173
  • Control and Systems Engineering 171
  • Rehabilitation 85
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Junghan Kwon South Korea
Erik D. Engeberg United States
Patrick M. Aubin United States
Yoon Jae Kim South Korea
Florian L. Haufe Switzerland
Andrew McDaid New Zealand
Ali Alazmani United Kingdom
Giuk Lee South Korea
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Hongbo Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Frank L. Hammond

Since Specialization
Citations

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

Fields of papers citing papers by Frank L. Hammond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank L. Hammond. 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 Frank L. Hammond. The network helps show where Frank L. Hammond may publish in the future.

Co-authorship network of co-authors of Frank L. Hammond

This figure shows the co-authorship network connecting the top 25 collaborators of Frank L. Hammond. A scholar is included among the top collaborators of Frank L. Hammond 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 Frank L. Hammond. Frank L. Hammond 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
#WorkIndexed citations
1 7
2 24
3 1
4 0
5 0
6 6
7 1
8 1
9 21
10 27
11 1
12 2
13 10
14 1
15
A Hybrid Image Classification Approach to Monitoring LULC Changes in the Mining District of Prestea-Huni Valley, Ghana
2
16 9
17 43
18 28
19
Improvement of kinematically redundant manipulator design and placement using torque-weighted isotropy measures
2
20 7

About Frank L. Hammond

Frank L. Hammond is a scholar working on Biomedical Engineering, Control and Systems Engineering and Rehabilitation, having authored 64 papers that have together received 859 indexed citations. Recurring topics across this work include Soft Robotics and Applications (23 papers), Robot Manipulation and Learning (19 papers) and Muscle activation and electromyography studies (16 papers). The work is most often cited by research in Biomedical Engineering (671 citations), Human-Computer Interaction (80 citations) and Rehabilitation (85 citations). Frank L. Hammond has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Robert J. Wood, Robert D. Howe, Yiğit Mengüç, Marko B. Popović, Woon‐Hong Yeo, Daniel I. Goldman, Yasemin Ozkan-Aydin, Ignacio Galiana, Rebecca K. Kramer and Qian Wan. Their work appears in journals such as ACS Nano, ACS Applied Materials & Interfaces and Experimental Brain Research.

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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