Trevor I. Dix

38 total papers · 736 total citations
30 papers, 464 citations indexed

About

Trevor I. Dix is a scholar working on Artificial Intelligence, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Trevor I. Dix has authored 30 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Molecular Biology and 4 papers in Computer Networks and Communications. Recurrent topics in Trevor I. Dix's work include Algorithms and Data Compression (14 papers), Genomics and Phylogenetic Studies (6 papers) and RNA and protein synthesis mechanisms (5 papers). Trevor I. Dix is often cited by papers focused on Algorithms and Data Compression (14 papers), Genomics and Phylogenetic Studies (6 papers) and RNA and protein synthesis mechanisms (5 papers). Trevor I. Dix collaborates with scholars based in Australia and United Kingdom. Trevor I. Dix's co-authors include Lloyd Allison, Minh Duc Cao, Linda Stern, David Powell, Madhu Chetty, Rahul Ram, Ross L. Coppel, Ramesh Ram, Samira Jaeger and David L. Dowe and has published in prestigious journals such as Molecular Biology and Evolution, BMC Bioinformatics and Journal of Theoretical Biology.

In The Last Decade

Trevor I. Dix

27 papers receiving 430 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Trevor I. Dix 318 312 49 38 31 30 464
Stefan Burkhardt 275 0.9× 232 0.7× 30 0.6× 55 1.4× 19 0.6× 14 412
Marinella Sciortino 356 1.1× 203 0.7× 25 0.5× 198 5.2× 23 0.7× 43 502
Joseph M. Lancaster 163 0.5× 247 0.8× 110 2.2× 20 0.5× 23 0.7× 23 491
Vincenzo Bonnici 128 0.4× 224 0.7× 33 0.7× 61 1.6× 22 0.7× 29 422
Stephan Philippi 154 0.5× 293 0.9× 57 1.2× 39 1.0× 101 3.3× 18 473
Jorge González‐Domínguez 117 0.4× 237 0.8× 95 1.9× 20 0.5× 42 1.4× 58 444
Mireille Régnier 360 1.1× 161 0.5× 64 1.3× 162 4.3× 25 0.8× 30 476
Idoia Ochoa 300 0.9× 318 1.0× 142 2.9× 9 0.2× 6 0.2× 50 457
Hyuk Cho 180 0.6× 206 0.7× 39 0.8× 12 0.3× 75 2.4× 33 509
Ibrahim Numanagić 163 0.5× 287 0.9× 72 1.5× 11 0.3× 10 0.3× 26 493

Countries citing papers authored by Trevor I. Dix

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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