Michael Johnson
Impact in
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- earthquake and tectonic studies
- Geological and Geochemical Analysis
- High-pressure geophysics and materials
Papers in
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- Teaching and Learning Programming 4
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- Social Robot Interaction and HRI 2
- Co-authors
- Matthew Gombolay (5 shared papers)Mariah Schrum (3 shared papers)A. M. Pitt (1 shared paper)David P. Hill (1 shared paper)M. Hayes (3 shared papers)Erin Hedlund (1 shared paper)Laurie Williams (1 shared paper)E. Michael Maximilien (1 shared paper)
- Journals
- Materials (1 paper)International Journal of Electrical Power & Energy Systems (1 paper)Seismological Research Letters (1 paper)IEEE Software (1 paper)ACM Transactions on Human-Robot Interaction (1 paper)
- Partner nations
- United StatesIrelandGermany
In The Last Decade
Michael Johnson
17 papers receiving 199 citations
Peers
Comparison fields: 5 of 81
- Geophysics 47
- Human-Computer Interaction 17
- Social Psychology 54
- Software 10
- Health Informatics 3
Countries citing papers authored by Michael Johnson
This map shows the geographic impact of Michael Johnson'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 Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Johnson more than expected).
Fields of papers citing papers by Michael Johnson
This network shows the impact of papers produced by Michael Johnson. 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 Johnson. The network helps show where Michael Johnson may publish in the future.
Co-authors
The 23 scholars most cited alongside Michael Johnson, 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 | 2002 | 52 | |
| 2 | 2020 | 50 | |
| 3 | 2022 | 26 | |
| 4 | 2007 | 20 | |
| 5 | 2021 | 17 | |
| 6 | 2015 | 15 | |
| 7 | 2021 | 7 | |
| 8 | 2016 | 7 | |
| 9 | 2018 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 1 | |
| 12 | 2011 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2016 | 1 | |
| 17 | Leapfrog: Community Engagement Challenges ExhibitionSharing approaches and tools for bringing people together, exchanging ideas and making stronger, more active communities | 2018 | 1 |
| 18 | Teaching Invention, Innovation, and Entrepreneurship to Northern Nevada High School Science and | 2002 | 1 |
| 19 | 2024 | 0 |
About Michael Johnson
Michael Johnson is a scholar working on Computer Science Applications, Social Psychology, Control and Systems Engineering, Radiological and Ultrasound Technology and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 211 indexed citations. Recurring topics across this work include Teaching and Learning Programming (4 papers), Behavioral Health and Interventions (2 papers), Robotic Path Planning Algorithms (2 papers), Occupational Health and Safety Research (2 papers), Robot Manipulation and Learning (2 papers), Social Robot Interaction and HRI (2 papers), Silicon Carbide Semiconductor Technologies (1 paper) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Geophysics (47 citations), Human-Computer Interaction (17 citations), Social Psychology (54 citations), Software (10 citations) and Health Informatics (3 citations). Michael Johnson has collaborated with scholars based in United States, Ireland and Germany. Frequent co-authors include Matthew Gombolay, Mariah Schrum, A. M. Pitt, David P. Hill, M. Hayes, Erin Hedlund, Laurie Williams, E. Michael Maximilien, Manisha Natarajan and Betsy DiSalvo. Their work appears in journals such as Materials, International Journal of Electrical Power & Energy Systems, Seismological Research Letters, IEEE Software and ACM Transactions on Human-Robot Interaction.
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.