Robert J. Durrant
Impact in
- Microbiology top 5%
-
- Diabetes Management and Research
- Diabetes Treatment and Management
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Diabetes Management and Education
Papers in
-
- Bacterial Identification and Susceptibility Testing 4
- Co-authors
- Ata KabánJohn EllisLouise A. DonnellyMargaret BandAndrew D. MorrisPeter T. DonnanBrian M. FrierGraham Leese
- Journals
- Diabetic Medicine (1 paper)Journal of Clinical Microbiology (1 paper)Journal of Artificial Intelligence Research (1 paper)Machine Learning (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
Robert J. Durrant
22 papers receiving 702 citations
Peers
Comparison fields: 5 of 109
- Microbiology 29
- Endocrinology, Diabetes and Metabolism 359
- Genetics 148
- Artificial Intelligence 155
- Computer Vision and Pattern Recognition 80
Countries citing papers authored by Robert J. Durrant
This map shows the geographic impact of Robert J. 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 J. 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 J. Durrant more than expected).
Fields of papers citing papers by Robert J. Durrant
This network shows the impact of papers produced by Robert J. 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 J. Durrant. The network helps show where Robert J. Durrant may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert J. 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 | 2024 | 1 | |
| 2 | 2021 | 17 | |
| 3 | A diversity-aware model for majority vote ensemble accuracy | 2020 | 2 |
| 4 | 2020 | 2 | |
| 5 | 2019 | 25 | |
| 6 | 2019 | 30 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 6 | |
| 9 | 2016 | 5 | |
| 10 | 2015 | 32 | |
| 11 | 2015 | 41 | |
| 12 | Sharp Generalization Error Bounds for Randomly-projected Classifiers | 2013 | 14 |
| 13 | Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions | 2013 | 10 |
| 14 | 2013 | 13 | |
| 15 | Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space | 2012 | 5 |
| 16 | 2011 | 4 | |
| 17 | 2010 | 32 | |
| 18 | 2009 | 49 | |
| 19 | 2008 | 25 | |
| 20 | 2005 | 382 |
About Robert J. Durrant
Robert J. Durrant is a scholar working on Microbiology, Clinical Biochemistry, Molecular Medicine, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 22 papers that have together received 724 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Sparse and Compressive Sensing Techniques (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Bayesian Methods and Mixture Models (3 papers), Statistical Methods and Inference (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Machine Learning and Algorithms (2 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Microbiology (29 citations), Endocrinology, Diabetes and Metabolism (359 citations), Genetics (148 citations), Artificial Intelligence (155 citations) and Computer Vision and Pattern Recognition (80 citations). Robert J. Durrant has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Ata Kabán, John Ellis, Louise A. Donnelly, Margaret Band, Andrew D. Morris, Peter T. Donnan, Brian M. Frier, Graham Leese, Jakramate Bootkrajang and Prasanna D. Khot. Their work appears in journals such as Diabetic Medicine, Journal of Clinical Microbiology, Journal of Artificial Intelligence Research, Machine Learning and Emerging infectious diseases.
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.