Australian Defence Force Academy

143.2k citations
5.2k papers ·

Impact in

Papers in

Australian Defence Force Academy

4.9k papers receiving 139.4k citations

Peers

Australian Defence Force Academy
Comparison fields: 5 of 246
  • Signal Processing 8.6k
  • Control and Systems Engineering 17.0k
  • Artificial Intelligence 24.9k
  • Computer Networks and Communications 14.2k
  • Earth-Surface Processes 3.6k
Replace Defence Science and Technology Group with:
Defence Science and Technology Group Australia
Health Sciences and Nutrition Australia
Boeing (Australia) Australia
Institute of High Performance Computing Singapore
University of the Philippines Diliman Philippines
University of the Philippines System Philippines
Heriot-Watt University Malaysia Malaysia
Cheng Shiu University Taiwan
National Dong Hwa University Taiwan
National Central University Taiwan
Australian Defence Force Academy relative to Defence Science and Technology Group Australia Defence Science and Technology Group's profile →
Citations per field
00.5×2×4×6.6×
Defence Science and Technology Group · 1×
Citations per year

Countries citing scholars working at Australian Defence Force Academy

Since Specialization
Citations

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

Fields of papers published by authors at Australian Defence Force Academy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Australian Defence Force Academy 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 Australian Defence Force Academy at the time of their publication.

About Australian Defence Force Academy

In recent decades, authors affiliated with Australian Defence Force Academy have published 5.2k papers, which have received a total of 143.2k indexed citations . Scholars at this organization have produced 660 papers in Control and Systems Engineering, 237 papers in Condensed Matter Physics, 674 papers in Artificial Intelligence, 458 papers in Aerospace Engineering and 229 papers in Statistical and Nonlinear Physics on the topics of Stability and Control of Uncertain Systems (227 papers), Metaheuristic Optimization Algorithms Research (185 papers), Evolutionary Algorithms and Applications (169 papers), Adaptive Control of Nonlinear Systems (165 papers), Astrophysics and Star Formation Studies (152 papers), Stellar, planetary, and galactic studies (148 papers), Rare-earth and actinide compounds (136 papers) and Control Systems and Identification (133 papers). Their work is cited by papers focused on Signal Processing (8.6k citations), Control and Systems Engineering (17.0k citations), Artificial Intelligence (24.9k citations), Computer Networks and Communications (14.2k citations) and Earth-Surface Processes (3.6k citations). Authors at Australian Defence Force Academy collaborate with scholars in Australia, United States and United Kingdom and have published in prestigious journals including Monthly Notices of the Royal Astronomical Society, Automatica, IEEE Transactions on Automatic Control, Composite Structures and The Astrophysical Journal. Some of Australian Defence Force Academy's most productive authors include Ian R. Petersen, Xin Yao, Nour Moustafa, L.C. Godara, Jill Slay, Xiuping Jia, Hussein A. Abbass, Kenneth R. Harris, Yong Liu and John A. Richards.

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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