Peter Mountney

1.9k citations
61 papers · 1.5k · h-index 22

Impact in

Papers in

Peter Mountney

59 papers receiving 1.5k citations

Peers

Peter Mountney
Comparison fields: 5 of 44
  • Health Informatics 48
  • Computer Vision and Pattern Recognition 486
  • Oncology 85
  • Aerospace Engineering 84
  • Artificial Intelligence 87
Replace Julien A. Abinahed with:
Julien A. Abinahed Qatar
Philip Edwards United Kingdom
Evangelos B. Mazomenos United Kingdom
Toby Collins France
Danni Ai China
Xiao Jia China
Zhiqiang He China
Constantine Butakoff Spain
Mohammed Yusuf Ansari Qatar
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Citations per field
00.5×2×4×6.5×
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Citations per year

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-authors

The 25 scholars most cited alongside Peter Mountney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Mountney Line = papers co-authored together Peter Mountney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013235
2 2010162
3 201085
4 200682
5 200950
6 200746
7 200844
8 202243
9 201140
10 201840
11 201439
12 202236
13 200935
14 201735
15 202435
16 201330
17 201330
18 201430
19 200927
20 201927

About Peter Mountney

Peter Mountney is a scholar working on Computer Vision and Pattern Recognition, Oncology, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Colorectal Cancer Screening and Detection (11 papers), Cardiac pacing and defibrillation studies (7 papers), AI in cancer detection (5 papers), Robotics and Sensor-Based Localization (2 papers), Cardiac Imaging and Diagnostics (2 papers), Quantum Computing Algorithms and Architecture (2 papers) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (48 citations), Computer Vision and Pattern Recognition (486 citations), Oncology (85 citations), Aerospace Engineering (84 citations) and Artificial Intelligence (87 citations). Peter Mountney has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Guang‐Zhong Yang, Danail V. Stoyanov, Daniel S. Elson, Daniel F. Toth, Lena Maier‐Hein, Andreas Kolb, Stefanie Speidel, Jonathan Sorger, Adrien Bartoli and Anja Groch. Their work appears in journals such as Medical Image Analysis, International Journal of Computer Assisted Radiology and Surgery, Endoscopy, Gastrointestinal Endoscopy and Digestive Endoscopy.

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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