Travis Johnston
Impact in
-
- Zebrafish Biomedical Research Applications
Papers in
- Co-authors
- Steven R. YoungMichela TauferKarim FouadMelike SchalomonTrevor J. HamiltonRobert M. PattonWilliam T. HellerGabriel Perdue
- Journals
- IEEE Transactions on Parallel and Distributed Systems (1 paper)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)Behavioural Brain Research (1 paper)Data in Brief (1 paper)Journal of Computational Chemistry (1 paper)
- Partner nations
- United StatesNetherlandsChile
In The Last Decade
Travis Johnston
22 papers receiving 282 citations
Peers
Comparison fields: 5 of 87
- Structural Biology 6
- Cell Biology 58
- Hardware and Architecture 19
- Radiation 24
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 4 | |
| 2 | 2022 | 4 | |
| 3 | 2021 | 31 | |
| 4 | 2020 | 2 | |
| 5 | 2020 | 33 | |
| 6 | 2020 | 8 | |
| 7 | 2020 | 6 | |
| 8 | 2019 | 1 | |
| 9 | 2018 | 2 | |
| 10 | 2018 | 19 | |
| 11 | 2017 | 2 | |
| 12 | 2017 | 30 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 16 | |
| 15 | 2016 | 3 | |
| 16 | 2015 | 76 | |
| 17 | 2015 | 1 | |
| 18 | 2015 | 5 | |
| 19 | 2015 | 4 | |
| 20 | 2015 | 11 |
About Travis Johnston
Travis Johnston is a scholar working on Discrete Mathematics and Combinatorics, Structural Biology, Computer Vision and Pattern Recognition, Radiation and Artificial Intelligence, having authored 22 papers that have together received 292 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Advanced Neural Network Applications (5 papers), Machine Learning and Data Classification (5 papers), Graph Theory and Algorithms (3 papers), Advanced Database Systems and Queries (3 papers), Nuclear Physics and Applications (3 papers), Cloud Computing and Resource Management (3 papers) and X-ray Diffraction in Crystallography (3 papers). The work is most often cited by research in Structural Biology (6 citations), Cell Biology (58 citations), Hardware and Architecture (19 citations), Radiation (24 citations) and Instrumentation (9 citations). Travis Johnston has collaborated with scholars based in United States, Netherlands and Chile. Frequent co-authors include Steven R. Young, Michela Taufer, Karim Fouad, Melike Schalomon, Trevor J. Hamilton, Robert M. Patton, William T. Heller, Gabriel Perdue, Mathieu Doucet and Richard Archibald. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Behavioural Brain Research, Data in Brief and Journal of Computational Chemistry.
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.