Nicolas Padoy

7.0k total citations · 1 hit paper
124 papers, 3.1k citations indexed

About

Nicolas Padoy is a scholar working on Surgery, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nicolas Padoy has authored 124 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Surgery, 34 papers in Computer Vision and Pattern Recognition and 31 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nicolas Padoy's work include Surgical Simulation and Training (59 papers), Anatomy and Medical Technology (16 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Nicolas Padoy is often cited by papers focused on Surgical Simulation and Training (59 papers), Anatomy and Medical Technology (16 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Nicolas Padoy collaborates with scholars based in France, Italy and Germany. Nicolas Padoy's co-authors include Didier Mutter, Jacques Marescaux, Andru Putra Twinanda, Michel de Mathelin, Pietro Mascagni, Nassir Navab, Hubertus Feußner, Tobias Blum, Gregory D. Hager and Chinedu Innocent Nwoye and has published in prestigious journals such as Annals of Surgery, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Nicolas Padoy

108 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

2016 579 citations Andru Putra Twinanda, Didier Mutter et al. IEEE Transactions on Medical Imaging profile →

Peers

Countries citing papers authored by Nicolas Padoy

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Padoy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Padoy

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Padoy. A scholar is included among the top collaborators of Nicolas Padoy 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 Nicolas Padoy. Nicolas Padoy 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

#	Work	Indexed citations
1	Surgical text-to-image generation 2025 ·Pattern Recognition Letters ·Chinedu Innocent Nwoye, R. P. Jagadeesh Chandra Bose, (unknown), (unknown), Giorgio Carlino, Joël L. Lavanchy, Pietro Mascagni, Nicolas Padoy	2
2	Improving risk stratification and detection of early HCC using ultrasound-based deep learning models 2025 ·JHEP Reports ·(unknown), (unknown), Anita Paisant, Agnès Rode, Riccardo Sartoris, Olivier Séror, Christophe Cassinotto, Laurent Milot, Jules Grégory, (unknown), J. Lebigot, (unknown), (unknown), Akira Takeda, Maxime Ronot, Valérie Vilgrain, Thomas F. Baumert, B. Gallix, Nicolas Padoy, Pierre Nahon	0
3	Surgeons’ awareness, expectations, and involvement with artificial intelligence: a survey pre and post the GPT era 2025 ·European Journal of Surgical Oncology ·(unknown), (unknown), Toby Collins, Daniel A. Hashimoto, Silvana Perretta, Bernard Dallemagne, Jacques Marescaux, (unknown), (unknown), Michèle Diana, Tim Horeman, Manish Chand, Rosa M. Jiménez-Rodríguez, L Manfredi, Hans F. Fuchs, Young Woo Kim, Martin Wagner, Pieter De Backer, Felix Nickel, Nicolas Padoy, Pietro Mascagni	0
4	When do they StOP?: A first step toward automatically identifying team communication in the operating room 2025 ·International Journal of Computer Assisted Radiology and Surgery ·K. H. Chen, (unknown), (unknown), Joël L. Lavanchy, Didier Mutter, Guido Beldi, Sandra Keller, Nicolas Padoy	1
5	EndoChat: Grounded multimodal large language model for endoscopic surgery 2025 ·Medical Image Analysis ·(unknown), Long Bai, Junyi Wang, Kun Yuan, Zhen Li, (unknown), Xin‐Tao He, (unknown), Zhen Chen, Zhen Lei, Hongbin Liu, Jiazheng Wang, Fan Zhang, Nicolas Padoy, Nassir Navab, Hongliang Ren	1
6	Critical view of safety assessment in sentinel node dissection for endometrial and cervical cancer: artificial intelligence to enhance surgical safety and lymph node detection (LYSE study) 2025 ·International Journal of Gynecological Cancer ·Matteo Pavone, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Andrea Rosati, Valentina Iacobelli, Anna Fagotti, Francesco Fanfani, Chérif Akladios, Denis Querleu, Nicolò Bizzarri, Lise Lecointre, Pietro Mascagni, Nicolas Padoy, Giovanni Scambia	3
7	Introducing surgical workflow recognition in orthopaedic surgery with timestamp supervision 2025 ·Computers in Biology and Medicine ·(unknown), Nicolas Padoy, (unknown), Thomas Lampert	1
8	Applications of artificial intelligence in surgery: clinical, technical, and governance considerations 2024 ·Cirugía Española (English Edition) ·(unknown), Deepak Alapatt, (unknown), Tong Yu, Sergio Alfieri, Salvador Morales‐Conde, Nicolas Padoy, Silvana Perretta	0
9	Development of an ontology for laparoscopic transabdominal adrenalectomy via a comprehensive modified Delphi survey and its validation on a multicentric pilot data set for surgical training and future video analysis with machine learning algorithms 2024 ·British journal of surgery ·Barbara Seeliger, (unknown), Pier Francesco Alesina, Laurent Brunaud, Costanza Chiapponi, Carmela De Crea, Gianluca Donatini, Maurizio Iacobone, Özer Makay, Radu Mihai, Martina T. Mogl, Didier Mutter, Nicolas Padoy, Fausto Palazzo, Óscar Vidal, Francesco Pennestrì, Jacques Marescaux, Michel Vix, Marco Raffaelli	0
10	Overcoming Dimensional Collapse in Self-Supervised Contrastive Learning for Medical Image Segmentation 2024 ·(unknown), (unknown), Didier Mutter, Nicolas Padoy	0
11	Rendezvous in time: an attention-based temporal fusion approach for surgical triplet recognition 2023 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), Chinedu Innocent Nwoye, Didier Mutter, Nicolas Padoy	16
12	Early-stage clinical evaluation of real-time artificial intelligence assistance for laparoscopic cholecystectomy 2023 ·British journal of surgery ·Pietro Mascagni, Deepak Alapatt, Alfonso Lapergola, Armine Vardazaryan, (unknown), Bernard Dallemagne, Didier Mutter, Nicolas Padoy	19
13	Live laparoscopic video retrieval with compressed uncertainty 2023 ·Medical Image Analysis ·Tong Yu, Pietro Mascagni, Juan M. Verde, Jacques Marescaux, Didier Mutter, Nicolas Padoy	4
14	Dissecting self-supervised learning methods for surgical computer vision 2023 ·Medical Image Analysis ·(unknown), (unknown), Deepak Alapatt, Tong Yu, (unknown), (unknown), Chinedu Innocent Nwoye, (unknown), (unknown), (unknown), (unknown), Alexandros Karargyris, Nicolas Padoy	28
15	Preliminary stage in the development of an artificial intelligence algorithm: Variations between 100 surgeons in phase annotation in a video of internal fixation of distal radius fracture 2023 ·Orthopaedics & Traumatology Surgery & Research ·(unknown), (unknown), Thomas Lampert, Nicolas Padoy, (unknown), (unknown), Philippe Liverneaux	9
16	FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation 2023 ·Medical Image Analysis ·(unknown), Benoît Rosa, Elena De Momi, Giancarlo Ferrigno, Nicolas Padoy	24
17	Computer vision in surgery: from potential to clinical value 2022 ·npj Digital Medicine ·Pietro Mascagni, Deepak Alapatt, (unknown), Maria S. Altieri, Amin Madani, Yusuke Watanabe, Adnan Alseidi, Jay Redan, Sergio Alfieri, Guido Costamagna, Ivo Boškoski, Nicolas Padoy, Daniel A. Hashimoto	102
18	Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the operating room 2022 ·Medical Image Analysis ·(unknown), Afshin Gangi, Nicolas Padoy	8
19	Surgical data science and artificial intelligence for surgical education 2021 ·Journal of Surgical Oncology ·Thomas M. Ward, Pietro Mascagni, Amin Madani, Nicolas Padoy, Silvana Perretta, Daniel A. Hashimoto	54
20	RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations 2018 ·IEEE Transactions on Medical Imaging ·Andru Putra Twinanda, (unknown), Didier Mutter, Jacques Marescaux, Nicolas Padoy	72

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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