Travis Johnston

About

Travis Johnston is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Travis Johnston has authored 23 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Materials Chemistry. Recurrent topics in Travis Johnston’s work include Machine Learning in Materials Science (5 papers), Advanced Neural Network Applications (5 papers) and Machine Learning and Data Classification (4 papers). Travis Johnston is often cited by papers focused on Machine Learning in Materials Science (5 papers), Advanced Neural Network Applications (5 papers) and Machine Learning and Data Classification (4 papers). Travis Johnston collaborates with scholars based in United States, Chile and Canada. Travis Johnston's co-authors include Steven R. Young, Trevor J. Hamilton, Melike Schalomon, Karim Fouad, William T. Heller, Robert M. Patton, Michela Taufer, Gabriel Perdue, Thomas E. Potok and Derek Rose and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Journal of Computational Chemistry and Journal of Applied Crystallography.

In The Last Decade

Co-authorship network of co-authors of Travis Johnston i

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Fields of papers citing papers by Travis Johnston

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Travis Johnston

Since Specialization

Citations

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).

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.

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