Kevin Decker
Impact in
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- Machine Learning in Materials Science
- Carbon Nanotubes in Composites
- Electronic and Structural Properties of Oxides
- Graphene research and applications
- X-ray Diffraction in Crystallography
Papers in
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- Remote Sensing and LiDAR Applications 6
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- Advanced Vision and Imaging 2
- Co-authors
- Benji Maruyama (3 shared papers)Pavel Nikolaev (3 shared papers)Rahul Rao (2 shared papers)Rick Barto (2 shared papers)Michael Krein (2 shared papers)Daylond Hooper (1 shared paper)Frederick Webber (1 shared paper)Brett J. Borghetti (3 shared papers)
- Journals
- Remote Sensing (2 papers)npj Computational Materials (1 paper)Applied Sciences (1 paper)Scientific Reports (1 paper)Microscopy and Microanalysis (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Kevin Decker
11 papers receiving 375 citations
Peers
Comparison fields: 5 of 81
- Materials Chemistry 271
- Structural Biology 6
- Computational Theory and Mathematics 58
- Information Systems and Management 21
- Catalysis 14
Countries citing papers authored by Kevin Decker
This map shows the geographic impact of Kevin Decker'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 Kevin Decker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Decker more than expected).
Fields of papers citing papers by Kevin Decker
This network shows the impact of papers produced by Kevin Decker. 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 Kevin Decker. The network helps show where Kevin Decker may publish in the future.
Co-authors
The 15 scholars most cited alongside Kevin Decker, 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 | 2016 | 290 | |
| 2 | 2020 | 62 | |
| 3 | 2022 | 12 | |
| 4 | 2023 | 6 | |
| 5 | 2017 | 4 | |
| 6 | Dewey and the Democratic Way of Life | 2003 | 3 |
| 7 | 2025 | 2 | |
| 8 | 2021 | 1 | |
| 9 | 2002 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 1 | |
| 12 | The Last Jedi | 2018 | 0 |
| 13 | 2022 | 0 |
About Kevin Decker
Kevin Decker is a scholar working on Environmental Engineering, Computer Vision and Pattern Recognition, Materials Chemistry, Ecology and Media Technology, having authored 13 papers that have together received 383 indexed citations. Recurring topics across this work include Remote Sensing and LiDAR Applications (6 papers), Machine Learning in Materials Science (3 papers), Robotics and Sensor-Based Localization (2 papers), Remote Sensing in Agriculture (2 papers), Advanced Vision and Imaging (2 papers), Pragmatism in Philosophy and Education (2 papers), 3D Shape Modeling and Analysis (1 paper) and Nanowire Synthesis and Applications (1 paper). The work is most often cited by research in Materials Chemistry (271 citations), Structural Biology (6 citations), Computational Theory and Mathematics (58 citations), Information Systems and Management (21 citations) and Catalysis (14 citations). Kevin Decker has collaborated with scholars based in United States and South Korea. Frequent co-authors include Benji Maruyama, Pavel Nikolaev, Rahul Rao, Rick Barto, Michael Krein, Daylond Hooper, Frederick Webber, Brett J. Borghetti, Ahmad E. Islam and Mark A. Pitt. Their work appears in journals such as Remote Sensing, npj Computational Materials, Applied Sciences, Scientific Reports and Microscopy and Microanalysis.
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.