J. Austin

447 citations
39 papers · 329 · h-index 8

Impact in

    • Biometric Identification and Security
    • Time Series Analysis and Forecasting
    • Face and Expression Recognition
    • Face recognition and analysis
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques

Papers in

J. Austin

35 papers receiving 298 citations

Peers

J. Austin
Comparison fields: 5 of 67
  • Signal Processing 70
  • Computer Vision and Pattern Recognition 131
  • Artificial Intelligence 157
  • Information Systems and Management 14
  • Information Systems 41
Replace Guoxin Su with:
Guoxin Su Australia
William R. Pentney United States
Yasser El-Sonbaty Egypt
Sartra Wongthanavasu Thailand
Sameh A. Salem Egypt
Bingyan Liu China
Stefano Melacci Italy
Yuhao Zhang China
Radha Chitta United States
Gita Alaghband United States
J. Austin relative to Guoxin Su Australia Guoxin Su's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. Austin

Since Specialization
Citations

This map shows the geographic impact of J. Austin'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 J. Austin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Austin more than expected).

Fields of papers citing papers by J. Austin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Austin. 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 J. Austin. The network helps show where J. Austin may publish in the future.

Co-authors

The 25 scholars most cited alongside J. Austin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. Austin Line = papers co-authored together J. Austin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200156
2 200352
3 200539
4 200522
5 200422
6 199815
7 201311
8 20028
9 20008
10
The CARMEN e-Science pilot project: Neuroinformatics work packages
20078
11 20047
12 20087
13 20027
14 20026
15 19995
16
The CARMEN Neuroscience Server
20075
17 19985
18
ADAM: an associative neural architecture for invariant pattern classification
19894
19 20054
20 20033

About J. Austin

J. Austin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Bioengineering and Information Systems and Management, having authored 39 papers that have together received 329 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Face and Expression Recognition (4 papers), Blind Source Separation Techniques (3 papers), Advanced Memory and Neural Computing (3 papers), Evolutionary Algorithms and Applications (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Scientific Computing and Data Management (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Signal Processing (70 citations), Computer Vision and Pattern Recognition (131 citations), Artificial Intelligence (157 citations), Information Systems and Management (14 citations) and Information Systems (41 citations). J. Austin has collaborated with scholars based in United Kingdom, Canada and Italy. Frequent co-authors include Joanna Hodge, Nick E. Pears, Simon Hickinbotham, Benjamin Liang, Tom Jackson, Marty Fletcher, Michael Weeks, Alain Nogaret, Mark Jessop and Alexander Turner. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Neural Computing and Applications, Europhysics Letters (EPL), New Journal of Physics and Philosophical Papers.

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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