Data61

9.9k papers and 235.5k indexed citations

About

In recent decades, authors affiliated with Data61 have published 9.9k papers, which have received a total of 235.5k indexed citations. Scholars at this organization have produced 2.8k papers in Artificial Intelligence, 2.3k papers in Computer Networks and Communications and 1.9k papers in Electrical and Electronic Engineering on the topics of Privacy-Preserving Technologies in Data (371 papers), Optical Network Technologies (345 papers) and Advanced Photonic Communication Systems (309 papers). Their work is cited by papers focused on Artificial Intelligence (60.4k citations), Computer Networks and Communications (54.1k citations) and Computer Vision and Pattern Recognition (43.1k citations). Authors at Data61 collaborate with scholars in Australia, China and United States and have published in prestigious journals including Chemical Reviews, Proceedings of the National Academy of Sciences and Physical Review Letters. Some of Data61's most productive authors include Brian D. O. Anderson, Robby T. Tan, Ming Ding, Gernot Heiser, Richard Hartley, William Shieh, Hongdong Li, Nicholas Nethercote, Julian Seward and Aruna Seneviratne.

In The Last Decade

Data61

9.3k papers receiving 232.7k citations

Countries citing scholars working at Data61

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Data61. 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 papers produced at Data61 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Data61 more than expected).

Fields of papers published by authors at Data61

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Data61 at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Data61 at the time of their publication.

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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2026