Dean Webb
Impact in
- Artificial Intelligence top 10%
- Advanced Clustering Algorithms Research
- Text and Document Classification Technologies
- Neural Networks and Applications
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- Face and Expression Recognition
Papers in
-
- Neural Networks and Applications 4
- Advanced Clustering Algorithms Research 2
- Text and Document Classification Technologies 2
- Co-authors
- Adil Bagirov (6 shared papers)Julien Ugon (5 shared papers)John Yearwood (2 shared papers)Bahadorreza Ofoghi (1 shared paper)Peter Vamplew (2 shared papers)Andrei Kelarev (1 shared paper)Moumita Ghosh (1 shared paper)Musa Mammadov (1 shared paper)
- Journals
- Top (1 paper)Pattern Recognition (1 paper)Social Network Analysis and Mining (1 paper)American Journal of Health-System Pharmacy (1 paper)Information Systems (1 paper)
- Partner nations
- AustraliaUnited StatesTürkiye
In The Last Decade
Dean Webb
13 papers receiving 233 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 148
- Computer Vision and Pattern Recognition 89
- Numerical Analysis 19
- Emergency Medical Services 13
- Signal Processing 24
Countries citing papers authored by Dean Webb
This map shows the geographic impact of Dean Webb'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 Dean Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dean Webb more than expected).
Fields of papers citing papers by Dean Webb
This network shows the impact of papers produced by Dean Webb. 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 Dean Webb. The network helps show where Dean Webb may publish in the future.
Co-authors
The 19 scholars most cited alongside Dean Webb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 106 | |
| 2 | Applying clustering and ensemble clustering approaches to phishing profiling | 2009 | 27 |
| 3 | 2011 | 22 | |
| 4 | 2010 | 21 | |
| 5 | 2007 | 20 | |
| 6 | 2006 | 16 | |
| 7 | 2011 | 14 | |
| 8 | 2010 | 11 | |
| 9 | MORL-Glue: a benchmark suite for multi-objective reinforcement learning | 2017 | 5 |
| 10 | Efficient piecewise linear classifiers and applications | 2011 | 5 |
| 11 | 2002 | 3 | |
| 12 | 2004 | 3 | |
| 13 | A new modified global k-means algorithm for clustering large data sets | 2009 | 2 |
About Dean Webb
Dean Webb is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, Signal Processing and Computational Theory and Mathematics, having authored 13 papers that have together received 255 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Spam and Phishing Detection (2 papers), Advanced Clustering Algorithms Research (2 papers), Advanced Statistical Methods and Models (2 papers), Text and Document Classification Technologies (2 papers), Web Data Mining and Analysis (1 paper), Optimization and Variational Analysis (1 paper) and Electromagnetic Scattering and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (148 citations), Computer Vision and Pattern Recognition (89 citations), Numerical Analysis (19 citations), Emergency Medical Services (13 citations) and Signal Processing (24 citations). Dean Webb has collaborated with scholars based in Australia, United States and Türkiye. Frequent co-authors include Adil Bagirov, Julien Ugon, John Yearwood, Bahadorreza Ofoghi, Peter Vamplew, Andrei Kelarev, Moumita Ghosh, Musa Mammadov, Refail Kasımbeyli and Gürkan Öztürk. Their work appears in journals such as Top, Pattern Recognition, Social Network Analysis and Mining, American Journal of Health-System Pharmacy and Information Systems.
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.