Benjamin Irving

706 total citations
19 papers, 202 citations indexed

About

Benjamin Irving is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Benjamin Irving has authored 19 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Benjamin Irving's work include Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (4 papers) and Medical Imaging Techniques and Applications (4 papers). Benjamin Irving is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (4 papers) and Medical Imaging Techniques and Applications (4 papers). Benjamin Irving collaborates with scholars based in United Kingdom, South Africa and Denmark. Benjamin Irving's co-authors include E. R. Hering, Julia A. Schnabel, Andrew Todd‐Pokropek, Paul Taylor, Sir Michael Brady, Bartłomiej W. Papież, Ewan M. Anderson, Tania S. Douglas, Fergus Gleeson and Robert P. Gie and has published in prestigious journals such as PLoS ONE, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

Benjamin Irving

19 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Irving United Kingdom 9 130 48 43 43 22 19 202
K. Yogesan Australia 10 146 1.1× 14 0.3× 31 0.7× 24 0.6× 21 1.0× 12 315
Satyananda Kashyap United States 8 156 1.2× 41 0.9× 54 1.3× 38 0.9× 87 4.0× 18 276
Kal Clark United States 8 95 0.7× 23 0.5× 61 1.4× 14 0.3× 32 1.5× 15 270
Xin Tie China 9 184 1.4× 33 0.7× 29 0.7× 32 0.7× 57 2.6× 24 264
Florian Michallek Germany 8 145 1.1× 76 1.6× 55 1.3× 85 2.0× 27 1.2× 25 247
Nishanth Arun United States 4 209 1.6× 51 1.1× 17 0.4× 28 0.7× 125 5.7× 7 300
Axel Bartoli France 11 96 0.7× 67 1.4× 9 0.2× 34 0.8× 20 0.9× 37 242
Jens Wetzl Germany 9 239 1.8× 50 1.0× 45 1.0× 38 0.9× 17 0.8× 35 309
Suzan Hatipoğlu United Kingdom 10 97 0.7× 26 0.5× 65 1.5× 18 0.4× 14 0.6× 37 316
Xigang Xiao China 8 250 1.9× 111 2.3× 27 0.6× 77 1.8× 70 3.2× 27 347

Countries citing papers authored by Benjamin Irving

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Irving

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin Irving. 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 Benjamin Irving. The network helps show where Benjamin Irving may publish in the future.

Co-authorship network of co-authors of Benjamin Irving

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

All Works

19 of 19 papers shown
1.
2.
Beggs, Andrew D., Camila Caiado, Tom Fowler, et al.. (2022). Machine learning for determining lateral flow device results for testing of SARS-CoV-2 infection in asymptomatic populations. Cell Reports Medicine. 3(10). 100784–100784. 13 indexed citations
3.
Franklin, James, Benjamin Irving, Bartłomiej W. Papież, et al.. (2020). Tumour subregion analysis of colorectal liver metastases using semi-automated clustering based on DCE-MRI: Comparison with histological subregions and impact on pharmacokinetic parameter analysis. European Journal of Radiology. 126. 108934–108934. 7 indexed citations
4.
Hutton, Chloe, et al.. (2019). Magnitude‐intrinsic water–fat ambiguity can be resolved with multipeak fat modeling and a multipoint search method. Magnetic Resonance in Medicine. 82(1). 460–475. 14 indexed citations
5.
Irving, Benjamin, Boštjan Markelc, Jakob Kaeppler, et al.. (2017). Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks. arXiv (Cornell University). 1 indexed citations
6.
Irving, Benjamin, et al.. (2017). Myocardial scar quantification using SLIC supervoxels - parcellation based on tissue characteristic strains. Lecture notes in computer science. 182–190. 1 indexed citations
7.
Irving, Benjamin, Boštjan Markelc, Jakob Kaeppler, et al.. (2017). Segmentation of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images. IEEE Transactions on Medical Imaging. 38(1). 1–10. 21 indexed citations
8.
Irving, Benjamin, James Franklin, Bartłomiej W. Papież, et al.. (2016). Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation. Medical Image Analysis. 32. 69–83. 19 indexed citations
9.
Kallehauge, Jesper Folsted, Steven Sourbron, Benjamin Irving, et al.. (2016). Comparison of linear and nonlinear implementation of the compartmental tissue uptake model for dynamic contrast-enhanced MRI. Magnetic Resonance in Medicine. 77(6). 2414–2423. 13 indexed citations
10.
Kersemans, Veerle, Pavitra Kannan, John S. Beech, et al.. (2015). Improving In Vivo High-Resolution CT Imaging of the Tumour Vasculature in Xenograft Mouse Models through Reduction of Motion and Bone-Streak Artefacts. PLoS ONE. 10(6). e0128537–e0128537. 3 indexed citations
11.
Irving, Benjamin, Pierre Goussard, Savvas Andronikou, et al.. (2014). Computer assisted detection of abnormal airway variation in CT scans related to paediatric tuberculosis. Medical Image Analysis. 18(7). 963–976. 3 indexed citations
12.
Dendere, Ronald, Benjamin Irving, Andrew Lawson, et al.. (2014). Filtration to reduce paediatric dose for a linear slot-scanning digital X-ray machine. Radiation Protection Dosimetry. 167(4). 552–561. 4 indexed citations
13.
Irving, Benjamin, et al.. (2014). Automated Colorectal Tumour Segmentation in DCE-MRI Using Supervoxel Neighbourhood Contrast Characteristics. Lecture notes in computer science. 17(Pt 1). 609–616. 26 indexed citations
14.
Andronikou, Savvas, et al.. (2013). Technical developments in postprocessing of paediatric airway imaging. Pediatric Radiology. 43(3). 269–284. 4 indexed citations
15.
Irving, Benjamin, Pierre Goussard, Robert P. Gie, Andrew Todd‐Pokropek, & Paul Taylor. (2011). Segmentation of obstructed airway branches in CT using airway topology and statistical shape analysis. SUNScholar (Stellenbosch University). 2732. 447–451. 4 indexed citations
16.
Irving, Benjamin, Pierre Goussard, Robert P. Gie, Andrew Todd‐Pokropek, & Paul Taylor. (2011). Identification of Paediatric Tuberculosis from Airway Shape Features. Lecture notes in computer science. 14(Pt 3). 133–140. 5 indexed citations
17.
Irving, Benjamin, Paul Taylor, & Andrew Todd‐Pokropek. (2009). 3D segmentation of the airway tree using a morphology based method. 22 indexed citations
18.
Irving, Benjamin, et al.. (2008). Radiation dose from a linear slit scanning X-ray machine with full-body imaging capabilities. Radiation Protection Dosimetry. 130(4). 482–489. 24 indexed citations
19.
Irving, Benjamin, et al.. (2007). Paediatric dose measurement in a full-body digital radiography unit. Pediatric Radiology. 37(10). 990–997. 17 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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