Michael Griffis

827 citations
17 papers · 585 · h-index 9

Impact in

    • Robotic Mechanisms and Dynamics
    • Robot Manipulation and Learning
    • Piezoelectric Actuators and Control
    • Dynamics and Control of Mechanical Systems
    • Soft Robotics and Applications
    • Advanced Surface Polishing Techniques

Papers in

Michael Griffis

17 papers receiving 541 citations

Peers

Michael Griffis
Comparison fields: 5 of 47
  • Control and Systems Engineering 514
  • Biomedical Engineering 261
  • Industrial and Manufacturing Engineering 55
  • Mechanical Engineering 159
  • Computer Vision and Pattern Recognition 37
Replace Robert S. Ball with:
Robert S. Ball United States
Xinxue Chai China
J. M. Rico Mexico
Jiegao Wang Canada
D. Kohli United States
José M. Rico-Martı́nez Mexico
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Jyh‐Jone Lee Taiwan
Zhenlin Jin China
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Michael Griffis

Since Specialization
Citations

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

Fields of papers citing papers by Michael Griffis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Michael Griffis, 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 Michael Griffis Line = papers co-authored together Michael Griffis links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1989176
2 1991118
3 199396
4 199240
5 199834
6 199227
7 200625
8 200619
9 201012
10 19928
11 19947
12 20037
13 19925
14 20225
15 20062
16 20022
17 20032

About Michael Griffis

Michael Griffis is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Atomic and Molecular Physics, and Optics and Industrial and Manufacturing Engineering, having authored 17 papers that have together received 585 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (11 papers), Piezoelectric Actuators and Control (5 papers), Robot Manipulation and Learning (4 papers), Soft Robotics and Applications (4 papers), Force Microscopy Techniques and Applications (3 papers), Manufacturing Process and Optimization (3 papers), Mechanical Engineering and Vibrations Research (2 papers) and Gear and Bearing Dynamics Analysis (2 papers). The work is most often cited by research in Control and Systems Engineering (514 citations), Biomedical Engineering (261 citations), Industrial and Manufacturing Engineering (55 citations), Mechanical Engineering (159 citations) and Computer Vision and Pattern Recognition (37 citations). Michael Griffis has collaborated with scholars based in United States, Sweden and Mexico. Frequent co-authors include J. Duffy, Thomas M. Pigoski, Wei Lin, David B. Dooner, David Kerr, D. J. Sanger, Joseph Duffy, Carl D. Crane, David G. Armstrong and Sarah A. O. Gray. Their work appears in journals such as Journal of Mechanical Design, Mechanism and Machine Theory, Journal of Field Robotics, Pediatric Critical Care Medicine and Journal of Robotic Systems.

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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