Thomas J. Ashby
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Materials Chemistry
- Co-authors
- Pieter GhyselsWim VanrooseKarl MeerbergenVladimir ChupakhinNina JeliazkovaOla EngkvistHugo CeulemansJörg K. Wegner
- Topics
- Parallel Computing and Optimization Techniques (4 papers)Embedded Systems Design Techniques (3 papers)Machine Learning in Materials Science (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on ComputersSIAM Journal on Scientific Computing
- Partner nations
- BelgiumUnited StatesSweden
In The Last Decade
Thomas J. Ashby
12 papers receiving 328 citations
Peers
Comparison fields: 5 of 87
- Computational Theory and Mathematics 181
- Molecular Biology 111
- Hardware and Architecture 97
- Computer Networks and Communications 77
- Materials Chemistry 56
Countries citing papers authored by Thomas J. Ashby
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).
Fields of papers citing papers by Thomas J. Ashby
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.
Co-authorship network of co-authors of Thomas J. Ashby
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Ashby. A scholar is included among the top collaborators of Thomas J. Ashby based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas J. Ashby. Thomas J. Ashby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 29 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 133 | |
| 7 | 22 | |
| 8 | 1 | |
| 9 | 72 | |
| 10 | 23 | |
| 11 | 12 | |
| 12 | 24 | |
| 13 | 10 |
About Thomas J. Ashby
Thomas J. Ashby is a scholar working on Health Informatics, Hardware and Architecture and Computer Networks and Communications, having authored 13 papers that have together received 348 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Embedded Systems Design Techniques (3 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Hardware and Architecture (97 citations), Computational Theory and Mathematics (181 citations) and Health Informatics (8 citations). Thomas J. Ashby has collaborated with scholars based in Belgium, United States and Sweden. Frequent co-authors include Pieter Ghysels, Wim Vanroose, Karl Meerbergen, Vladimir Chupakhin, Nina Jeliazkova, Ola Engkvist, Hugo Ceulemans, Jörg K. Wegner, Hongming Chen and Ivan Georgiev. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Computers and SIAM Journal on Scientific Computing.
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.