Travis Johnston
Impact in
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- Zebrafish Biomedical Research Applications
Papers in
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- Advanced Neural Network Applications 5
- Graph Theory and Algorithms 3
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- Machine Learning and Data Classification 5
- Co-authors
- Steven R. Young (4 shared papers)Michela Taufer (9 shared papers)Melike Schalomon (1 shared paper)Trevor J. Hamilton (1 shared paper)Karim Fouad (1 shared paper)Zacnicte May (1 shared paper)William T. Heller (2 shared papers)Robert M. Patton (3 shared papers)
- Journals
- Monthly Notices of the Royal Astronomical Society (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)Journal of Computational Chemistry (1 paper)Behavioural Brain Research (1 paper)Journal of Combinatorial Theory Series A (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Travis Johnston
22 papers receiving 286 citations
Peers
Comparison fields: 5 of 85
- Structural Biology 6
- Cell Biology 58
- Radiation 25
- Hardware and Architecture 19
- Instrumentation 9
Countries citing papers authored by Travis Johnston
This map shows the geographic impact of Travis Johnston'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 Travis Johnston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Johnston more than expected).
Fields of papers citing papers by Travis Johnston
This network shows the impact of papers produced by Travis Johnston. 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 Travis Johnston. The network helps show where Travis Johnston may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis Johnston, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 77 | |
| 2 | 2020 | 35 | |
| 3 | 2021 | 32 | |
| 4 | 2017 | 30 | |
| 5 | 2017 | 20 | |
| 6 | 2018 | 19 | |
| 7 | 2017 | 16 | |
| 8 | 2019 | 12 | |
| 9 | 2015 | 11 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 6 | |
| 12 | 2015 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2016 | 3 | |
| 17 | 2017 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2020 | 2 |
About Travis Johnston
Travis Johnston is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Materials Chemistry, Computer Networks and Communications and Information Systems, having authored 22 papers that have together received 296 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Machine Learning and Data Classification (5 papers), Machine Learning in Materials Science (5 papers), Advanced Database Systems and Queries (3 papers), X-ray Diffraction in Crystallography (3 papers), Cloud Computing and Resource Management (3 papers), Limits and Structures in Graph Theory (3 papers) and Graph Theory and Algorithms (3 papers). The work is most often cited by research in Structural Biology (6 citations), Cell Biology (58 citations), Radiation (25 citations), Hardware and Architecture (19 citations) and Instrumentation (9 citations). Travis Johnston has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Steven R. Young, Michela Taufer, Melike Schalomon, Trevor J. Hamilton, Karim Fouad, Zacnicte May, William T. Heller, Robert M. Patton, Gabriel Perdue and Richard Archibald. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, IEEE Transactions on Parallel and Distributed Systems, Journal of Computational Chemistry, Behavioural Brain Research and Journal of Combinatorial Theory Series A.
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.