Evangelos B. Mazomenos

1.8k total citations · 1 hit paper
68 papers, 1.1k citations indexed

About

Evangelos B. Mazomenos is a scholar working on Biomedical Engineering, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Evangelos B. Mazomenos has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Biomedical Engineering, 22 papers in Surgery and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Evangelos B. Mazomenos's work include Surgical Simulation and Training (13 papers), ECG Monitoring and Analysis (11 papers) and Colorectal Cancer Screening and Detection (9 papers). Evangelos B. Mazomenos is often cited by papers focused on Surgical Simulation and Training (13 papers), ECG Monitoring and Analysis (11 papers) and Colorectal Cancer Screening and Detection (9 papers). Evangelos B. Mazomenos collaborates with scholars based in United Kingdom, Italy and United States. Evangelos B. Mazomenos's co-authors include Danail Stoyanov, Koushik Maharatna, Taihai Chen, John M. Morgan, Amit Acharyya, James A. Rosengarten, Patrick Brandão, Nick Curzen, Dwaipayan Biswas and Arianna Menciassi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Annals of Surgery.

In The Last Decade

Evangelos B. Mazomenos

61 papers receiving 1.1k citations

Hit Papers

Artificial intelligence in orthopaedic surgery 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evangelos B. Mazomenos United Kingdom 18 376 375 213 207 195 68 1.1k
Lakshman S. Tamil United States 22 350 0.9× 459 1.2× 85 0.4× 95 0.5× 141 0.7× 86 1.7k
Mohamad Forouzanfar Canada 20 545 1.4× 537 1.4× 217 1.0× 126 0.6× 180 0.9× 70 1.4k
Florent Lalys France 18 140 0.4× 202 0.5× 328 1.5× 130 0.6× 200 1.0× 32 848
Miguel Coimbra Portugal 23 878 2.3× 379 1.0× 281 1.3× 132 0.6× 408 2.1× 144 2.4k
Ganesh Sankaranarayanan United States 24 134 0.4× 731 1.9× 1.0k 4.8× 112 0.5× 370 1.9× 116 1.8k
Spyretta Golemati Greece 24 819 2.2× 259 0.7× 212 1.0× 708 3.4× 361 1.9× 77 2.0k
Alireza Ahmadian Iran 19 271 0.7× 440 1.2× 47 0.2× 273 1.3× 342 1.8× 99 1.1k
Alfredo Illanes Germany 17 78 0.2× 206 0.5× 151 0.7× 180 0.9× 65 0.3× 81 749
Pulkit Agrawal United States 14 326 0.9× 231 0.6× 74 0.3× 289 1.4× 429 2.2× 46 1.4k
Rui Pedro Paiva Portugal 23 297 0.8× 284 0.8× 171 0.8× 59 0.3× 255 1.3× 91 1.6k

Countries citing papers authored by Evangelos B. Mazomenos

Since Specialization
Citations

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

Fields of papers citing papers by Evangelos B. Mazomenos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evangelos B. Mazomenos. 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 Evangelos B. Mazomenos. The network helps show where Evangelos B. Mazomenos may publish in the future.

Co-authorship network of co-authors of Evangelos B. Mazomenos

This figure shows the co-authorship network connecting the top 25 collaborators of Evangelos B. Mazomenos. A scholar is included among the top collaborators of Evangelos B. Mazomenos 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 Evangelos B. Mazomenos. Evangelos B. Mazomenos 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.
Arina, Pietro, Nicholas Tetlow, Robert Stephens, et al.. (2025). Mortality prediction after major surgery in a mixed population through machine learning: a multi‐objective symbolic regression approach. Anaesthesia. 80(5). 551–560.
2.
Xu, Jialang, et al.. (2025). Personalizing Federated Instrument Segmentation With Visual Trait Priors in Robotic Surgery. IEEE Transactions on Biomedical Engineering. 72(6). 1886–1896. 1 indexed citations
3.
Williams, Simon C., Danyal Z. Khan, Sophia Bano, et al.. (2025). A surgical approach to building impactful artificial intelligence. npj Digital Medicine. 8(1). 709–709. 1 indexed citations
4.
Tetlow, Nicholas, et al.. (2025). KEVS: enhancing segmentation of visceral adipose tissue in pre-cystectomy CT with Gaussian kernel density estimation. International Journal of Computer Assisted Radiology and Surgery. 20(7). 1335–1344.
5.
Fontalis, Andreas, Fabio Mancino, Shuai Zhang, et al.. (2024). Is it feasible to develop a supervised learning algorithm incorporating spinopelvic mobility to predict impingement in patients undergoing total hip arthroplasty?. Bone & Joint Open. 5(8). 671–680. 2 indexed citations
7.
Xu, Jialang, Hugo Layard Horsfall, Danail Stoyanov, et al.. (2023). A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel Sensorised Surgical Glove. Sensors. 23(21). 8947–8947. 8 indexed citations
10.
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
11.
Jin, Yueming, et al.. (2023). Keep Your Eye on the Best: Contrastive Regression Transformer for Skill Assessment in Robotic Surgery. IEEE Robotics and Automation Letters. 8(3). 1755–1762. 15 indexed citations
12.
Muirhead, William, et al.. (2023). Shifted-windows transformers for the detection of cerebral aneurysms in microsurgery. International Journal of Computer Assisted Radiology and Surgery. 18(6). 1033–1041. 4 indexed citations
13.
Fontalis, Andreas, et al.. (2023). Unveiling the potential of artificial intelligence in orthopaedic surgery. British Journal of Hospital Medicine. 84(12). 1–5. 4 indexed citations
14.
Fontalis, Andreas, et al.. (2023). Artificial intelligence in orthopaedic surgery. Bone and Joint Research. 12(7). 447–454. 76 indexed citations breakdown →
15.
Mazomenos, Evangelos B., et al.. (2022). MSDESIS: Multitask Stereo Disparity Estimation and Surgical Instrument Segmentation. IEEE Transactions on Medical Imaging. 41(11). 3218–3230. 16 indexed citations
16.
Vasconcelos, Francisco, Evangelos B. Mazomenos, Sébastien Ourselin, et al.. (2020). Dimensionless squared jerk: An objective differential to assess experienced and novice probe movement in obstetric ultrasound. Prenatal Diagnosis. 41(2). 271–277. 11 indexed citations
17.
Camboni, Domenico, Luca Massari, Marcello Chiurazzi, et al.. (2020). Endoscopic Tactile Capsule for Non-Polypoid Colorectal Tumour Detection. IEEE Transactions on Medical Robotics and Bionics. 3(1). 64–73. 8 indexed citations
18.
Mazomenos, Evangelos B., et al.. (2018). Gesture Classification in Robotic Surgery using Recurrent Neural Networks with Kinematic Information. UCL Discovery (University College London). 1 indexed citations
19.
Brandão, Patrick, Evangelos B. Mazomenos, Gastone Ciuti, et al.. (2016). Validating convolution neural networks for automatic polyp detection in robotic colonoscopy. UCL Discovery (University College London). 1 indexed citations
20.
Mazomenos, Evangelos B., et al.. (2009). Tracking with Range-Only Measurements Using a Network of Wireless Sensors. 7 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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