Trevor I. Dix
- Artificial Intelligence top 5%
- Molecular Biology
- Computer Networks and Communications
- Computational Theory and Mathematics top 10%
- Information Systems
- Co-authors
- Lloyd AllisonMinh Duc CaoLinda SternDavid PowellMadhu ChettyRoss L. CoppelRahul RamRamesh Ram
- Topics
- Algorithms and Data Compression (14 papers)Genomics and Phylogenetic Studies (6 papers)DNA and Biological Computing (5 papers)
- Partner nations
- AustraliaUnited Kingdom
In The Last Decade
Trevor I. Dix
27 papers receiving 431 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 319
- Molecular Biology 312
- Computer Networks and Communications 49
- Computational Theory and Mathematics 38
- Information Systems 31
Countries citing papers authored by Trevor I. Dix
This map shows the geographic impact of Trevor I. Dix'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 Trevor I. Dix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor I. Dix more than expected).
Fields of papers citing papers by Trevor I. Dix
This network shows the impact of papers produced by Trevor I. Dix. 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 Trevor I. Dix. The network helps show where Trevor I. Dix may publish in the future.
Co-authorship network of co-authors of Trevor I. Dix
This figure shows the co-authorship network connecting the top 25 collaborators of Trevor I. Dix. A scholar is included among the top collaborators of Trevor I. Dix 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 Trevor I. Dix. Trevor I. Dix is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 25 | |
| 5 | 13 | |
| 6 | Database integration and querying in the bioinformatics domain | 0 |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 27 | |
| 10 | 15 | |
| 11 | 7 | |
| 12 | Alignment of Low Information Sequences. | 4 |
| 13 | Compression of strings with approximate repeats. | 31 |
| 14 | Discovering simple DNA sequences by compression. | 8 |
| 15 | 5 | |
| 16 | A restriction mapping engine using constraint logic programming. | 4 |
| 17 | 6 | |
| 18 | 20 | |
| 19 | 98 | |
| 20 | 1 |
About Trevor I. Dix
Trevor I. Dix is a scholar working on Artificial Intelligence, Molecular Biology and Software, having authored 30 papers that have together received 465 indexed citations. Recurring topics across this work include Algorithms and Data Compression (14 papers), Genomics and Phylogenetic Studies (6 papers) and DNA and Biological Computing (5 papers). The work is most often cited by research in Artificial Intelligence (319 citations), Molecular Biology (312 citations) and Hardware and Architecture (21 citations). Trevor I. Dix has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include Lloyd Allison, Minh Duc Cao, Linda Stern, David Powell, Madhu Chetty, Ross L. Coppel, Rahul Ram, Ramesh Ram, Samira Jaeger and Darren Platt. Their work appears in journals such as Molecular Biology and Evolution, BMC Bioinformatics and Journal of Theoretical Biology.
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.