D S Brettle

1.2k total citations
52 papers, 857 citations indexed

About

D S Brettle is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, D S Brettle has authored 52 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Pulmonary and Respiratory Medicine and 16 papers in Artificial Intelligence. Recurrent topics in D S Brettle's work include Digital Radiography and Breast Imaging (18 papers), AI in cancer detection (16 papers) and Radiation Dose and Imaging (13 papers). D S Brettle is often cited by papers focused on Digital Radiography and Breast Imaging (18 papers), AI in cancer detection (16 papers) and Radiation Dose and Imaging (13 papers). D S Brettle collaborates with scholars based in United Kingdom, Sweden and Australia. D S Brettle's co-authors include Gareth Iball, Arnold R. Cowen, A Workman, Darren Treanor, G.J.S. Parkin, Fiona Carmichael, Keith Horner, Emily L. Clarke, Elizabeth Berry and Robin Davies and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics in Medicine and Biology and The Journal of Pathology.

In The Last Decade

D S Brettle

50 papers receiving 826 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D S Brettle United Kingdom	19	446	275	267	198	117	52	857
Arnold R. Cowen United Kingdom	21	638 1.4×	478 1.7×	596 2.2×	106 0.5×	40 0.3×	56	957
A Workman United Kingdom	17	439 1.0×	300 1.1×	408 1.5×	49 0.2×	75 0.6×	28	709
R. Gilbert Jost United States	17	405 0.9×	152 0.6×	384 1.4×	59 0.3×	36 0.3×	67	999
Susanne Kheddache Sweden	20	1.1k 2.5×	624 2.3×	988 3.7×	83 0.4×	29 0.2×	48	1.3k
C J Kotre United Kingdom	16	783 1.8×	485 1.8×	750 2.8×	232 1.2×	12 0.1×	70	1.4k
Andrew M. Hernandez United States	17	592 1.3×	391 1.4×	367 1.4×	73 0.4×	19 0.2×	58	858
Alistair Mackenzie United Kingdom	18	778 1.7×	403 1.5×	882 3.3×	400 2.0×	12 0.1×	83	1.1k
W Huda United States	20	1000 2.2×	635 2.3×	328 1.2×	117 0.6×	48 0.4×	75	1.5k
G T Barnes United States	12	582 1.3×	370 1.3×	578 2.2×	104 0.5×	14 0.1×	27	832
Andrew G. Davies United Kingdom	16	328 0.7×	214 0.8×	204 0.8×	23 0.1×	20 0.2×	44	635

Countries citing papers authored by D S Brettle

Since Specialization

Citations

This map shows the geographic impact of D S Brettle'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 D S Brettle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D S Brettle more than expected).

Fields of papers citing papers by D S Brettle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D S Brettle. 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 D S Brettle. The network helps show where D S Brettle may publish in the future.

Co-authorship network of co-authors of D S Brettle

This figure shows the co-authorship network connecting the top 25 collaborators of D S Brettle. A scholar is included among the top collaborators of D S Brettle 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 D S Brettle. D S Brettle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Brettle, D S, et al.. (2025). An international study of stain variability in histopathology using qualitative and quantitative analysis. Journal of Pathology Informatics. 17. 100423–100423. 5 indexed citations

Pye, Hayley, et al.. (2025). Use of quality checks and processes across digital histopathology: an initial survey from the Bigpicture consortium. Journal of Clinical Pathology. 78(10). 691–696.

Humphries, Matthew P., et al.. (2024). Development of a multi‐scanner facility for data acquisition for digital pathology artificial intelligence. The Journal of Pathology. 264(1). 80–89. 2 indexed citations

Carmichael, Fiona, et al.. (2022). Emissivity evaluation of human enamel and dentin. Frontiers in Physiology. 13. 993674–993674. 2 indexed citations

Wright, Alexander, et al.. (2020). A Point-of-Use Quality Assurance Tool for Digital Pathology Remote Working. Journal of Pathology Informatics. 11(1). 17–17. 11 indexed citations

Williams, Bethany, D S Brettle, Paul Barrett, et al.. (2020). Guidance for Remote Reporting of Digital Pathology Slides During Periods of Exceptional Service Pressure: An Emergency Response from the UK Royal College of Pathologists. Journal of Pathology Informatics. 11(1). 12–12. 38 indexed citations

Brettle, D S, et al.. (2017). In-vitro Thermal Maps to Characterize Human Dental Enamel and Dentin. Frontiers in Physiology. 8. 461–461. 23 indexed citations

Carmichael, Fiona, et al.. (2013). Surfing the spectrum – what is on the horizon?. BDJ. 215(8). 401–409. 5 indexed citations

Brettle, D S & Fiona Carmichael. (2011). The impact of digital image processing artefacts mimicking pathological features associated with restorations. BDJ. 211(4). 167–170. 15 indexed citations

10.

Sykes, Jonathan, D S Brettle, Derek Magee, & David Thwaites. (2009). Investigation of uncertainties in image registration of cone beam CT to CT on an image-guided radiotherapy system. Physics in Medicine and Biology. 54(24). 7263–7283. 28 indexed citations

11.

Sykes, Jonathan, et al.. (2008). Measurement of cone beam CT coincidence with megavoltage isocentre and image sharpness using the QUASAR™ Penta-Guide phantom. Physics in Medicine and Biology. 53(19). 5275–5293. 20 indexed citations

12.

Brettle, D S, Elizabeth Berry, & Michael Smith. (2007). The effect of experience on detectability in local area anatomical noise. British Journal of Radiology. 80(951). 186–193. 8 indexed citations

13.

Brettle, D S. (2007). Display considerations for hospital-wide viewing of soft copy images. British Journal of Radiology. 80(955). 503–507. 8 indexed citations

14.

Iball, Gareth, et al.. (2007). Investigation into the effects of lead shielding for fetal dose reduction in CT pulmonary angiography. British Journal of Radiology. 80(956). 631–638. 41 indexed citations

15.

Iball, Gareth, et al.. (2006). Assessment of tube current modulation in pelvic CT. British Journal of Radiology. 79(937). 62–70. 20 indexed citations

16.

Jones, Anthony, David G. Hughes, D S Brettle, et al.. (1998). Experiences with functional magnetic resonance imaging at 1 tesla.. British Journal of Radiology. 71(842). 160–166. 14 indexed citations

17.

Workman, A & D S Brettle. (1997). Physical performance measures of radiographic imaging systems.. Dentomaxillofacial Radiology. 26(3). 139–146. 45 indexed citations

18.

Adams, Elizabeth, D S Brettle, Anthony Jones, Alan R. Hounsell, & David Mott. (1997). Estimation of fetal and effective dose for CT examinations.. British Journal of Radiology. 70(831). 272–278. 14 indexed citations

19.

Cowen, Arnold R., et al.. (1997). Visibility of microcalcifications in computed and screen-film mammography. Physics in Medicine and Biology. 42(8). 1533–1548. 36 indexed citations

20.

Horner, Keith, D S Brettle, & V E Rushton. (1996). The potential medico-legal implications of computed radiography. BDJ. 180(7). 271–273. 10 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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