Travis Johnston
Impact in
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- Zebrafish Biomedical Research Applications
Papers in
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- Advanced Neural Network Applications 4
- Graph Theory and Algorithms 3
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- Nuclear Physics and Applications 4
- Co-authors
- Steven R. Young (5 shared papers)Michela Taufer (8 shared papers)Zacnicte May (1 shared paper)Melike Schalomon (1 shared paper)Karim Fouad (1 shared paper)Robert M. Patton (4 shared papers)Trevor J. Hamilton (1 shared paper)William T. Heller (2 shared papers)
- Journals
- Journal of Applied Crystallography (1 paper)Journal of Computational Chemistry (1 paper)Behavioural Brain Research (1 paper)Journal of Combinatorial Theory Series A (1 paper)Monthly Notices of the Royal Astronomical Society (1 paper)
- Partner nations
- United StatesPolandChile
In The Last Decade
Travis Johnston
23 papers receiving 339 citations
Peers
Comparison fields: 5 of 88
- Cell Biology 66
- Structural Biology 6
- Hardware and Architecture 26
- Information Systems and Management 25
- Discrete Mathematics and Combinatorics 11
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 87 | |
| 2 | 2020 | 37 | |
| 3 | 2017 | 37 | |
| 4 | 2021 | 37 | |
| 5 | 2018 | 23 | |
| 6 | 2017 | 22 | |
| 7 | 2017 | 18 | |
| 8 | 2019 | 15 | |
| 9 | 2015 | 12 | |
| 10 | 2021 | 12 | |
| 11 | 2020 | 8 | |
| 12 | 2015 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2016 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2019 | 3 | |
| 18 | 2015 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2020 | 2 |
About Travis Johnston
Travis Johnston is a scholar working on Computer Vision and Pattern Recognition, Radiation, Discrete Mathematics and Combinatorics, Artificial Intelligence and Materials Chemistry, having authored 25 papers that have together received 351 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (7 papers), Nuclear Physics and Applications (4 papers), Advanced Neural Network Applications (4 papers), X-ray Diffraction in Crystallography (4 papers), Machine Learning and Data Classification (4 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 Cell Biology (66 citations), Structural Biology (6 citations), Hardware and Architecture (26 citations), Information Systems and Management (25 citations) and Discrete Mathematics and Combinatorics (11 citations). Travis Johnston has collaborated with scholars based in United States, Poland and Chile. Frequent co-authors include Steven R. Young, Michela Taufer, Zacnicte May, Melike Schalomon, Karim Fouad, Robert M. Patton, Trevor J. Hamilton, William T. Heller, Gabriel Perdue and Richard K. Archibald. Their work appears in journals such as Journal of Applied Crystallography, Journal of Computational Chemistry, Behavioural Brain Research, Journal of Combinatorial Theory Series A and Monthly Notices of the Royal Astronomical Society.
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.