Peter Mountney

1.9k total citations
55 papers, 1.2k citations indexed

About

Peter Mountney is a scholar working on Computer Vision and Pattern Recognition, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Peter Mountney has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 21 papers in Surgery and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Peter Mountney's work include Surgical Simulation and Training (12 papers), Augmented Reality Applications (11 papers) and Colorectal Cancer Screening and Detection (10 papers). Peter Mountney is often cited by papers focused on Surgical Simulation and Training (12 papers), Augmented Reality Applications (11 papers) and Colorectal Cancer Screening and Detection (10 papers). Peter Mountney collaborates with scholars based in United Kingdom, United States and Germany. Peter Mountney's co-authors include Guang‐Zhong Yang, Danail Stoyanov, Daniel S. Elson, Dániel Tóth, Adrien Bartoli, Haytham Elhawary, Stefanie Speidel, Marcos Rodrigues, Jonathan Sorger and Andreas Kolb and has published in prestigious journals such as Annals of Surgery, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

Peter Mountney

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Mountney United Kingdom 19 641 423 350 305 194 55 1.2k
Sebastian Bodenstedt Germany 17 391 0.6× 125 0.3× 514 1.5× 375 1.2× 124 0.6× 60 962
Toby Collins France 21 682 1.1× 376 0.9× 331 0.9× 312 1.0× 216 1.1× 64 1.2k
Stamatia Giannarou United Kingdom 18 380 0.6× 149 0.4× 344 1.0× 377 1.2× 104 0.5× 56 926
Philip Edwards United Kingdom 21 710 1.1× 217 0.5× 515 1.5× 525 1.7× 185 1.0× 45 1.3k
Ramin Shahidi United States 16 334 0.5× 138 0.3× 467 1.3× 329 1.1× 185 1.0× 65 1.2k
Danni Ai China 19 776 1.2× 125 0.3× 245 0.7× 392 1.3× 501 2.6× 154 1.4k
Marie‐Odile Berger France 18 694 1.1× 339 0.8× 234 0.7× 146 0.5× 41 0.2× 98 1.1k
Ole Jakob Elle Norway 20 346 0.5× 67 0.2× 426 1.2× 527 1.7× 204 1.1× 96 1.2k
Marco Feuerstein Germany 18 597 0.9× 199 0.5× 356 1.0× 311 1.0× 123 0.6× 28 892
Xióngbiāo Luó China 16 306 0.5× 165 0.4× 198 0.6× 430 1.4× 150 0.8× 74 897

Countries citing papers authored by Peter Mountney

Since Specialization
Citations

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

Fields of papers citing papers by Peter Mountney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Mountney

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Mountney. A scholar is included among the top collaborators of Peter Mountney 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 Peter Mountney. Peter Mountney 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.
Kader, Rawen, et al.. (2025). NICE polyp feature classification for colonoscopy screening. International Journal of Computer Assisted Radiology and Surgery. 20(5). 1015–1024. 2 indexed citations
2.
Ahmad, Omer F., Evangelos B. Mazomenos, François Chadebecq, et al.. (2023). Identifying key mechanisms leading to visual recognition errors for missed colorectal polyps using eye‐tracking technology. Journal of Gastroenterology and Hepatology. 38(5). 768–774. 7 indexed citations
3.
Kader, Rawen, et al.. (2023). Automated colonoscopy withdrawal phase duration estimation using cecum detection and surgical tasks classification. Biomedical Optics Express. 14(6). 2629–2629. 2 indexed citations
4.
Brandão, Patrick, Omer F. Ahmad, Kanwal K. Bhatia, et al.. (2022). Spatio-temporal classification for polyp diagnosis. Biomedical Optics Express. 14(2). 593–593. 4 indexed citations
5.
Brandão, Patrick, Omer F. Ahmad, Kanwal K. Bhatia, et al.. (2022). Polyp detection on video colonoscopy using a hybrid 2D/3D CNN. Medical Image Analysis. 82. 102625–102625. 29 indexed citations
6.
Kader, Rawen, Dániel Tóth, Roser Vega, et al.. (2022). AUTOMATED MEASUREMENT OF COLONOSCOPY WITHDRAWAL TIME USING CONVOLUTIONAL NEURAL NETWORKS. Endoscopy. 54(S 01). S92–S92.
7.
Brandão, Patrick, Dániel Tóth, Vinay Sehgal, et al.. (2021). O30 Deep neural network for the detection of early neoplasia in Barrett’s oesophagus. A17.1–A17. 3 indexed citations
8.
O’Brien, Hugh, John Whitaker, Baldeep S. Sidhu, et al.. (2021). Automated Left Ventricle Ischemic Scar Detection in CT Using Deep Neural Networks. Frontiers in Cardiovascular Medicine. 8. 655252–655252. 15 indexed citations
9.
Severini, Simone, et al.. (2018). Image classification with quantum pre-training and auto-encoders. International Journal of Quantum Information. 16(8). 1840009–1840009. 11 indexed citations
10.
Karim, Rashed, et al.. (2018). Image Data Analysis for Quantifying Scar Transmurality in MRI phantoms for Cardiac Resynchronisation Therapy. PubMed. 2018. 1111–1114. 1 indexed citations
11.
Mountney, Peter, Jonathan M. Behar, Dániel Tóth, et al.. (2017). A Planning and Guidance Platform for Cardiac Resynchronization Therapy. IEEE Transactions on Medical Imaging. 36(11). 2366–2375. 11 indexed citations
12.
Behar, Jonathan M., Peter Mountney, Dániel Tóth, et al.. (2017). Real-Time X-MRI-Guided Left Ventricular Lead Implantation for Targeted Delivery of Cardiac Resynchronization Therapy. JACC. Clinical electrophysiology. 3(8). 803–814. 31 indexed citations
13.
Sieniewicz, Benjamin, et al.. (2017). P996Predicting the optimal site for LV lead deployment using epicardial non-invasive mapping. EP Europace. 19(suppl_3). iii209–iii209. 1 indexed citations
14.
Heimann, Tobias, Peter Mountney, Matthias John, & Razvan Ionasec. (2014). Real-time ultrasound transducer localization in fluoroscopy images by transfer learning from synthetic training data. Medical Image Analysis. 18(8). 1320–1328. 24 indexed citations
15.
Maier‐Hein, Lena, Peter Mountney, Adrien Bartoli, et al.. (2013). Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery. Medical Image Analysis. 17(8). 974–996. 191 indexed citations
16.
Sodergren, Mikael H., Felipe Orihuela‐Espina, Peter Mountney, et al.. (2011). Orientation Strategies in Natural Orifice Translumenal Endoscopic Surgery. Annals of Surgery. 254(2). 257–266. 12 indexed citations
17.
Mountney, Peter & Guang‐Zhong Yang. (2010). Motion Compensated SLAM for Image Guided Surgery. Lecture notes in computer science. 13(Pt 2). 496–504. 63 indexed citations
18.
Mountney, Peter, Danail Stoyanov, & Guang‐Zhong Yang. (2010). Three-Dimensional Tissue Deformation Recovery and Tracking. IEEE Signal Processing Magazine. 27(4). 14–24. 133 indexed citations
19.
Mountney, Peter, Stamatia Giannarou, Daniel S. Elson, & Guang‐Zhong Yang. (2009). Optical Biopsy Mapping for Minimally Invasive Cancer Screening. Lecture notes in computer science. 12(Pt 1). 483–490. 22 indexed citations
20.
Mountney, Peter, Danail Stoyanov, Andrew J. Davison, & Guang‐Zhong Yang. (2006). Simultaneous Stereoscope Localization and Soft-Tissue Mapping for Minimal Invasive Surgery. Lecture notes in computer science. 9(Pt 1). 347–354. 69 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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