Thomas J. Ashby

About

Thomas J. Ashby is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Thomas J. Ashby has authored 12 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 3 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Thomas J. Ashby’s work include Parallel Computing and Optimization Techniques (3 papers), Distributed and Parallel Computing Systems (2 papers) and Machine Learning in Materials Science (2 papers). Thomas J. Ashby is often cited by papers focused on Parallel Computing and Optimization Techniques (3 papers), Distributed and Parallel Computing Systems (2 papers) and Machine Learning in Materials Science (2 papers). Thomas J. Ashby collaborates with scholars based in Belgium, United States and Sweden. Thomas J. Ashby's co-authors include Wim Vanroose, Pieter Ghysels, Karl Meerbergen, Vladimir Chupakhin, Hugo Ceulemans, Nina Jeliazkova, Jörg K. Wegner, Hongming Chen, Ola Engkvist and Lars Carlsson and has published in prestigious journals such as SIAM Journal on Scientific Computing, IEEE Transactions on Computers and Journal of Cheminformatics.

In The Last Decade

Co-authorship network of co-authors of Thomas J. Ashby i

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Fields of papers citing papers by Thomas J. Ashby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J. Ashby. 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 Thomas J. Ashby. The network helps show where Thomas J. Ashby may publish in the future.

Countries citing papers authored by Thomas J. Ashby

Since Specialization

Citations

This map shows the geographic impact of Thomas J. Ashby'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 Thomas J. Ashby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas J. Ashby 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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