Robert J. Durrant

1.1k total citations
22 papers, 724 citations indexed

About

Robert J. Durrant is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Robert J. Durrant has authored 22 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Mechanics. Recurrent topics in Robert J. Durrant's work include Face and Expression Recognition (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Robert J. Durrant is often cited by papers focused on Face and Expression Recognition (7 papers), Sparse and Compressive Sensing Techniques (5 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Robert J. Durrant collaborates with scholars based in United Kingdom, New Zealand and United States. Robert J. Durrant's 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 and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Emerging infectious diseases.

In The Last Decade

Robert J. Durrant

22 papers receiving 702 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert J. Durrant United Kingdom 12 359 155 148 114 80 22 724
S. Srinivasan India 14 32 0.1× 51 0.3× 29 0.2× 123 1.1× 138 1.7× 84 810
Andrew J. Sinclair United States 15 71 0.2× 25 0.2× 35 0.2× 50 0.4× 61 0.8× 67 976
Ying Nan China 14 36 0.1× 32 0.2× 26 0.2× 28 0.2× 92 1.1× 60 599
Óscar Barquero‐Pérez Spain 16 41 0.1× 70 0.5× 15 0.1× 52 0.5× 17 0.2× 73 729
Xiang Qiu China 12 35 0.1× 46 0.3× 36 0.2× 26 0.2× 63 0.8× 43 563
Normy Norfiza Abdul Razak Malaysia 11 322 0.9× 21 0.1× 36 0.2× 64 0.6× 4 0.1× 63 634
Eleni I. Georga Greece 13 322 0.9× 129 0.8× 134 0.9× 102 0.9× 25 0.3× 49 660
Alexander Rabinovich Israel 18 52 0.1× 363 2.3× 13 0.1× 68 0.6× 12 0.1× 84 860
Naeem Ullah Pakistan 17 24 0.1× 205 1.3× 34 0.2× 26 0.2× 207 2.6× 68 885
PM Taylor United Kingdom 10 56 0.2× 775 5.0× 12 0.1× 25 0.2× 558 7.0× 25 1.2k

Countries citing papers authored by Robert J. Durrant

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Robert J. Durrant

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Durrant. A scholar is included among the top collaborators of Robert J. Durrant based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert J. Durrant. Robert J. Durrant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cree, Michael J., et al.. (2024). A contrast sensitivity model of the human visual system in modern conditions for presenting video content. PLoS ONE. 19(5). e0303987–e0303987. 1 indexed citations
2.
Gomes, Heitor Murilo, Jesse Read, Albert Bifet, & Robert J. Durrant. (2021). Learning from evolving data streams through ensembles of random patches. Knowledge and Information Systems. 63(7). 1597–1625. 17 indexed citations
3.
Durrant, Robert J., et al.. (2020). A diversity-aware model for majority vote ensemble accuracy. Research Commons (University of Waikato). 108. 4078–4086. 2 indexed citations
4.
Kabán, Ata & Robert J. Durrant. (2020). Structure from Randomness in Halfspace Learning with the Zero-One Loss. Journal of Artificial Intelligence Research. 69. 733–764. 2 indexed citations
5.
Durrant, Robert J., et al.. (2019). Antibiotic Treatment of Suspected and Confirmed Neonatal Sepsis Within 28 Days of Birth: A Retrospective Analysis. Frontiers in Pharmacology. 10. 1191–1191. 25 indexed citations
6.
Langelier, Charles, Michael C. Graves, Katrina Kalantar, et al.. (2019). Microbiome and Antimicrobial Resistance Gene Dynamics in International Travelers. Emerging infectious diseases. 25(7). 1380–1383. 30 indexed citations
7.
Cursons, Ray, Robert J. Durrant, Noel Karalus, et al.. (2017). Rapid molecular diagnosis of the Mycobacterium tuberculosis Rangipo strain responsible for the largest recurring TB cluster in New Zealand. Diagnostic Microbiology and Infectious Disease. 88(2). 138–140. 2 indexed citations
8.
Durrant, Robert J., et al.. (2017). Microbiology Education in Nursing Practice. Journal of Microbiology and Biology Education. 18(2). 6 indexed citations
9.
Durrant, Robert J., et al.. (2016). How effective is Cauchy-EDA in high dimensions?. University of Birmingham Research Portal (University of Birmingham). 3409–3416. 5 indexed citations
10.
Khot, Prasanna D., et al.. (2015). Identification of Nocardia Species by Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry. Journal of Clinical Microbiology. 53(10). 3366–3369. 32 indexed citations
11.
Kabán, Ata, Jakramate Bootkrajang, & Robert J. Durrant. (2015). Toward Large-Scale Continuous EDA: A Random Matrix Theory Perspective. Evolutionary Computation. 24(2). 255–291. 41 indexed citations
12.
Durrant, Robert J. & Ata Kabán. (2013). Sharp Generalization Error Bounds for Randomly-projected Classifiers. Research Commons (University of Waikato). 693–701. 14 indexed citations
13.
Durrant, Robert J. & Ata Kabán. (2013). Random Projections as Regularizers: Learning a Linear Discriminant Ensemble from Fewer Observations than Dimensions. Research Commons (University of Waikato). 17–32. 10 indexed citations
14.
Kabán, Ata, Jakramate Bootkrajang, & Robert J. Durrant. (2013). Towards large scale continuous EDA. Research Commons (University of Waikato). 383–390. 13 indexed citations
15.
Durrant, Robert J. & Ata Kabán. (2012). Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space. International Conference on Artificial Intelligence and Statistics. 337–345. 5 indexed citations
16.
Durrant, Robert J. & Ata Kabán. (2011). A tight bound on the performance of Fisher’s linear discriminant in randomly projected data spaces. Pattern Recognition Letters. 33(7). 911–919. 4 indexed citations
17.
Durrant, Robert J. & Ata Kabán. (2010). Compressed fisher linear discriminant analysis. University of Birmingham Research Portal (University of Birmingham). 1119–1128. 32 indexed citations
18.
Durrant, Robert J. & Ata Kabán. (2009). When is ‘nearest neighbour’ meaningful: A converse theorem and implications. Journal of Complexity. 25(4). 385–397. 49 indexed citations
19.
She, Rosemary C., Robert J. Durrant, & Cathy A. Petti. (2008). Evaluation of Enzyme Immunoassays to Detect Clostridium difficile Toxin From Anaerobic Stool Culture. American Journal of Clinical Pathology. 131(1). 81–84. 25 indexed citations
20.
Donnelly, Louise A., Andrew D. Morris, Brian M. Frier, et al.. (2005). Frequency and predictors of hypoglycaemia in Type 1 and insulin‐treated Type 2 diabetes: a population‐based study. Diabetic Medicine. 22(6). 749–755. 382 indexed citations

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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