Robert John Durrant
Impact in
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Stochastic Gradient Optimization Techniques
- Advanced Clustering Algorithms Research
- Machine Learning and Data Classification
- Statistics and Probability top 5%
- Statistical Methods and Applications
- Statistical Methods and Inference
Papers in
-
- Statistical Methods and Applications 7
- Statistical Methods and Inference 1
-
- Stochastic Gradient Optimization Techniques 10
- Metaheuristic Optimization Algorithms Research 3
- Machine Learning and Algorithms 2
- Advanced Clustering Algorithms Research 1
- Co-authors
- Ata Kabán (14 shared papers)Jakramate Bootkrajang (2 shared papers)Jesse Read (1 shared paper)Albert Bifet (1 shared paper)Heitor Murilo Gomes (1 shared paper)James E. Bower (1 shared paper)Ray T. Cursons (1 shared paper)Michael J. Cree (1 shared paper)
- Journals
- Diagnostic Microbiology and Infectious Disease (1 paper)Journal of Artificial Intelligence Research (1 paper)Pattern Recognition Letters (1 paper)Evolutionary Computation (1 paper)Machine Learning (1 paper)
- Partner nations
- United KingdomNew ZealandRussia
In The Last Decade
Robert John Durrant
18 papers receiving 286 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 203
- Statistics and Probability 56
- Computer Vision and Pattern Recognition 44
- Signal Processing 12
- Computational Mechanics 17
Countries citing papers authored by Robert John Durrant
This map shows the geographic impact of Robert John Durrant'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 Robert John Durrant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert John Durrant more than expected).
Fields of papers citing papers by Robert John Durrant
This network shows the impact of papers produced by Robert John Durrant. 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 Robert John Durrant. The network helps show where Robert John Durrant may publish in the future.
Co-authors
The 14 scholars most cited alongside Robert John Durrant, 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 | 2009 | 62 | |
| 2 | 2015 | 48 | |
| 3 | 2010 | 36 | |
| 4 | 2014 | 36 | |
| 5 | 2021 | 20 | |
| 6 | Sharp Generalization Error Bounds for Randomly-projected Classifiers | 2013 | 16 |
| 7 | 2013 | 16 | |
| 8 | Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions | 2013 | 12 |
| 9 | 2008 | 8 | |
| 10 | Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space | 2012 | 7 |
| 11 | 2011 | 6 | |
| 12 | 2016 | 6 | |
| 13 | 2013 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2010 | 2 | |
| 16 | A diversity-aware model for majority vote ensemble accuracy | 2020 | 2 |
| 17 | 2020 | 2 | |
| 18 | 2024 | 1 |
About Robert John Durrant
Robert John Durrant is a scholar working on Statistics and Probability, Artificial Intelligence, Computer Vision and Pattern Recognition, Infectious Diseases and Computational Mechanics, having authored 18 papers that have together received 290 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (10 papers), Statistical Methods and Applications (7 papers), Face and Expression Recognition (6 papers), Metaheuristic Optimization Algorithms Research (3 papers), Machine Learning and Algorithms (2 papers), Sparse and Compressive Sensing Techniques (1 paper), Statistical Methods and Inference (1 paper) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Artificial Intelligence (203 citations), Statistics and Probability (56 citations), Computer Vision and Pattern Recognition (44 citations), Signal Processing (12 citations) and Computational Mechanics (17 citations). Robert John Durrant has collaborated with scholars based in United Kingdom, New Zealand and Russia. Frequent co-authors include Ata Kabán, Jakramate Bootkrajang, Jesse Read, Albert Bifet, Heitor Murilo Gomes, James E. Bower, Ray T. Cursons, Michael J. Cree, Noel Karalus and Sally Roberts. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, Journal of Artificial Intelligence Research, Pattern Recognition Letters, Evolutionary Computation and Machine Learning.
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.