University of Technology Sydney

1.9M citations
66.1k papers ·

Impact in

Papers in

University of Technology Sydney

62.2k papers receiving 1.9M citations

Peers

University of Technology Sydney
Comparison fields: 5 of 252
  • Water Science and Technology 77.5k
  • Computer Vision and Pattern Recognition 108.7k
  • Pollution 43.2k
  • Artificial Intelligence 124.5k
  • Waste Management and Disposal 22.3k
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UNSW Sydney Australia
University of Wollongong Australia
Monash University Australia
The University of Queensland Australia
University of Newcastle Australia Australia
Griffith University Australia
Queensland University of Technology Australia
Macquarie University Australia
RMIT University Australia
Deakin University Australia
University of Technology Sydney relative to UNSW Sydney Australia UNSW Sydney's profile →
Citations per field
00.5×1.7×
UNSW Sydney · 1×
Citations per year

Countries citing scholars working at University of Technology Sydney

Since Specialization
Citations

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

Fields of papers published by authors at University of Technology Sydney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with University of Technology Sydney 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 University of Technology Sydney at the time of their publication.

About University of Technology Sydney

In recent decades, authors affiliated with University of Technology Sydney have published 66.1k papers, which have received a total of 1.9M indexed citations . Scholars at this organization have produced 4.8k papers in Artificial Intelligence, 3.2k papers in Computer Vision and Pattern Recognition, 431 papers in Research and Theory, 2.7k papers in Information Systems and 1.7k papers in Water Science and Technology on the topics of Membrane Separation Technologies (827 papers), Recommender Systems and Techniques (528 papers), Electric Motor Design and Analysis (487 papers), Antenna Design and Analysis (442 papers), Privacy-Preserving Technologies in Data (438 papers), Advanced Neural Network Applications (436 papers), Nursing education and management (431 papers) and Coral and Marine Ecosystems Studies (423 papers). Their work is cited by papers focused on Water Science and Technology (77.5k citations), Computer Vision and Pattern Recognition (108.7k citations), Pollution (43.2k citations), Artificial Intelligence (124.5k citations) and Waste Management and Disposal (22.3k citations). Authors at University of Technology Sydney collaborate with scholars in Australia, China and United States and have published in prestigious journals including PLoS ONE, IEEE Access, Scientific Reports, The Science of The Total Environment and Bioresource Technology. Some of University of Technology Sydney's most productive authors include Guoxiu Wang, Yi Ping Yang, Dacheng Tao, Huu Hao Ngo, Christian M. Ringle, Marko Sarstedt, Biswajeet Pradhan, Wenshan Guo, Joseph Hair Jr. and Amir H. Gandomi.

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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