Antony Browne
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Evolutionary Algorithms and Applications
- AI-based Problem Solving and Planning
- Imbalanced Data Classification Techniques
Papers in
-
- Neural Networks and Applications 9
- Fuzzy Logic and Control Systems 3
- Algorithms and Data Compression 2
-
- Machine Learning in Bioinformatics 6
- Fractal and DNA sequence analysis 5
- RNA and protein synthesis mechanisms 3
- Co-authors
- Ron Sun (2 shared papers)Shuang Yang (1 shared paper)Philip Picton (3 shared papers)Brian D. Hudson (4 shared papers)Martyn G. Ford (4 shared papers)Yu Fu (3 shared papers)George M. Saleh (1 shared paper)Hassan Kazemian (3 shared papers)
- Journals
- Neural Networks (2 papers)Neurocomputing (2 papers)Neural Processing Letters (1 paper)Journal of Geochemical Exploration (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesSaudi Arabia
In The Last Decade
Antony Browne
24 papers receiving 197 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 126
- Health Information Management 7
- Computational Theory and Mathematics 25
- Accounting 13
- Computer Vision and Pattern Recognition 22
Countries citing papers authored by Antony Browne
This map shows the geographic impact of Antony Browne'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 Antony Browne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antony Browne more than expected).
Fields of papers citing papers by Antony Browne
This network shows the impact of papers produced by Antony Browne. 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 Antony Browne. The network helps show where Antony Browne may publish in the future.
Co-authors
The 25 scholars most cited alongside Antony Browne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 57 | |
| 2 | 2001 | 53 | |
| 3 | 2003 | 26 | |
| 4 | 1999 | 19 | |
| 5 | 2009 | 9 | |
| 6 | 1998 | 6 | |
| 7 | 2004 | 5 | |
| 8 | 1998 | 5 | |
| 9 | 1994 | 4 | |
| 10 | 2002 | 4 | |
| 11 | 2005 | 4 | |
| 12 | 2007 | 4 | |
| 13 | Extraction of comprehensible logical rules from neural networks: application of TREPAN in bio and cheminformatics | 2005 | 3 |
| 14 | 1999 | 3 | |
| 15 | 1983 | 3 | |
| 16 | 1996 | 3 | |
| 17 | Variable binding in a neural network using a distributed representation | 1994 | 2 |
| 18 | Coarse coastal deposits as palaeo-environmental archives for storms and tsunamis | 2011 | 2 |
| 19 | 2002 | 2 | |
| 20 | 2008 | 1 |
About Antony Browne
Antony Browne is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Nuclear and High Energy Physics and Aerospace Engineering, having authored 26 papers that have together received 219 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Machine Learning in Bioinformatics (6 papers), Fractal and DNA sequence analysis (5 papers), Fuzzy Logic and Control Systems (3 papers), RNA and protein synthesis mechanisms (3 papers), Magnetic confinement fusion research (3 papers), Algorithms and Data Compression (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Artificial Intelligence (126 citations), Health Information Management (7 citations), Computational Theory and Mathematics (25 citations), Accounting (13 citations) and Computer Vision and Pattern Recognition (22 citations). Antony Browne has collaborated with scholars based in United Kingdom, United States and Saudi Arabia. Frequent co-authors include Ron Sun, Shuang Yang, Philip Picton, Brian D. Hudson, Martyn G. Ford, Yu Fu, George M. Saleh, Hassan Kazemian, Jonathan Goh and David S. Whitley. Their work appears in journals such as Neural Networks, Neurocomputing, Neural Processing Letters, Journal of Geochemical Exploration and BMC Bioinformatics.
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.