Joël L. Lavanchy

628 total citations
29 papers, 343 citations indexed

About

Joël L. Lavanchy is a scholar working on Surgery, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Joël L. Lavanchy has authored 29 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 8 papers in Biomedical Engineering and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Joël L. Lavanchy's work include Surgical Simulation and Training (14 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers) and Pelvic and Acetabular Injuries (5 papers). Joël L. Lavanchy is often cited by papers focused on Surgical Simulation and Training (14 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers) and Pelvic and Acetabular Injuries (5 papers). Joël L. Lavanchy collaborates with scholars based in Switzerland, France and Italy. Joël L. Lavanchy's co-authors include Guido Beldi, Daniel Candinas, Kadir Kirtac, Enes Hosgor, Andreas Köhler, Joël Zindel, Nicolas Padoy, Anita Kurmann, Beat Schnüriger and Tobias Haltmeier and has published in prestigious journals such as Annals of Surgery, Scientific Reports and British journal of surgery.

In The Last Decade

Joël L. Lavanchy

27 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joël L. Lavanchy Switzerland 9 266 86 69 50 45 29 343
Armine Vardazaryan France 7 189 0.7× 106 1.2× 99 1.4× 60 1.2× 64 1.4× 11 298
Babak Namazi United States 8 221 0.8× 112 1.3× 117 1.7× 48 1.0× 62 1.4× 17 351
Jeffrey S. Levy United States 9 333 1.3× 191 2.2× 36 0.5× 109 2.2× 22 0.5× 14 392
Imri Amiel Israel 8 131 0.5× 36 0.4× 44 0.6× 17 0.3× 25 0.6× 20 224
Alina Zubarevich Germany 10 254 1.0× 139 1.6× 15 0.2× 175 3.5× 63 1.4× 62 389
Cristián Jarry Chile 8 140 0.5× 54 0.6× 22 0.3× 25 0.5× 16 0.4× 37 206
Ludovica Guerriero Italy 11 266 1.0× 49 0.6× 43 0.6× 17 0.3× 64 1.4× 24 304
Romina Pena Spain 7 159 0.6× 56 0.7× 71 1.0× 13 0.3× 20 0.4× 11 217
F. Borja de Lacy Spain 8 240 0.9× 47 0.5× 214 3.1× 30 0.6× 49 1.1× 19 329
Evangelia E. Vassalou Greece 11 218 0.8× 47 0.5× 16 0.2× 17 0.3× 51 1.1× 46 410

Countries citing papers authored by Joël L. Lavanchy

Since Specialization
Citations

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

Fields of papers citing papers by Joël L. Lavanchy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joël L. Lavanchy. 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 Joël L. Lavanchy. The network helps show where Joël L. Lavanchy may publish in the future.

Co-authorship network of co-authors of Joël L. Lavanchy

This figure shows the co-authorship network connecting the top 25 collaborators of Joël L. Lavanchy. A scholar is included among the top collaborators of Joël L. Lavanchy 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 Joël L. Lavanchy. Joël L. Lavanchy 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.
Nwoye, Chinedu Innocent, R. P. Jagadeesh Chandra Bose, Giorgio Carlino, et al.. (2025). Surgical text-to-image generation. Pattern Recognition Letters. 190. 73–80. 2 indexed citations
2.
Chen, K. H., Joël L. Lavanchy, Didier Mutter, et al.. (2025). When do they StOP?: A first step toward automatically identifying team communication in the operating room. International Journal of Computer Assisted Radiology and Surgery. 20(7). 1371–1379. 1 indexed citations
3.
Yuan, Kun, Tong Yu, Joël L. Lavanchy, et al.. (2025). Learning multi-modal representations by watching hundreds of surgical video lectures. Medical Image Analysis. 105. 103644–103644. 4 indexed citations
4.
Müller, Philip C., Christoph Kuemmerli, Joël L. Lavanchy, et al.. (2025). Artificial intelligence and image guidance in minimally invasive pancreatic surgery: current status and future challenges. 5(2). 161–72. 1 indexed citations
5.
Wolleb, Julia, L. Fischer, Pascal Probst, et al.. (2024). Development of predictive model for predicting postoperative BMI and optimize bariatric surgery: a single center pilot study. Surgery for Obesity and Related Diseases. 20(12). 1234–1243. 2 indexed citations
6.
Lavanchy, Joël L., Diego Dall’Alba, Cristians González, et al.. (2024). Challenges in multi-centric generalization: phase and step recognition in Roux-en-Y gastric bypass surgery. International Journal of Computer Assisted Radiology and Surgery. 19(11). 2249–2257. 6 indexed citations
7.
Yuan, Kun, et al.. (2024). Advancing surgical VQA with scene graph knowledge. International Journal of Computer Assisted Radiology and Surgery. 19(7). 1409–1417. 7 indexed citations
8.
Kuemmerli, Christoph, Adrian T. Billeter, Felix Nickel, et al.. (2024). Toward a Standardization of Learning Curve Assessment in Minimally Invasive Liver Surgery. Annals of Surgery. 281(2). 252–264. 11 indexed citations
9.
Lavanchy, Joël L., Armine Vardazaryan, Pietro Mascagni, et al.. (2023). Preserving privacy in surgical video analysis using a deep learning classifier to identify out-of-body scenes in endoscopic videos. Scientific Reports. 13(1). 9235–9235. 9 indexed citations
10.
Kirtac, Kadir, et al.. (2022). Surgical Phase Recognition: From Public Datasets to Real-World Data. Applied Sciences. 12(17). 8746–8746. 11 indexed citations
11.
Lavanchy, Joël L., et al.. (2022). Proposal and multicentric validation of a laparoscopic Roux-en-Y gastric bypass surgery ontology. Surgical Endoscopy. 37(3). 2070–2077. 6 indexed citations
12.
Lavanchy, Joël L., Joël Zindel, Kadir Kirtac, et al.. (2021). Automation of surgical skill assessment using a three-stage machine learning algorithm. Scientific Reports. 11(1). 5197–5197. 90 indexed citations
13.
Lavanchy, Joël L., Joël Zindel, Kadir Kirtac, et al.. (2021). Author Correction: Automation of surgical skill assessment using a three-stage machine learning algorithm. Scientific Reports. 11(1). 8933–8933. 7 indexed citations
14.
15.
Lavanchy, Joël L., et al.. (2021). Increased hospital treatment volume of splenic injury predicts higher rates of successful non-operative management and reduces hospital length of stay: a Swiss Trauma Registry analysis. European Journal of Trauma and Emergency Surgery. 48(1). 133–140. 4 indexed citations
16.
Lavanchy, Joël L., et al.. (2021). Real-time clipper tip visibility detection using computer vision. British journal of surgery. 108(Supplement_4). 1 indexed citations
17.
Lavanchy, Joël L., et al.. (2021). ClipAssistNet: bringing real-time safety feedback to operating rooms. International Journal of Computer Assisted Radiology and Surgery. 17(1). 5–13. 12 indexed citations
18.
Lavanchy, Joël L., et al.. (2018). Long-term results of laparoscopic versus open intraperitoneal onlay mesh incisional hernia repair: a propensity score-matched analysis. Surgical Endoscopy. 33(1). 225–233. 35 indexed citations
19.
Lavanchy, Joël L., et al.. (2018). Outcomes of emergency abdominal surgery in octogenarians: A single-center analysis. The American Journal of Surgery. 218(2). 248–254. 4 indexed citations
20.
Lavanchy, Joël L., et al.. (2009). Growth potential of U-clipTM interrupted versus polypropylene running suture anastomosis in congenital cardiac surgery: intermediate term results. Interactive Cardiovascular and Thoracic Surgery. 9(4). 565–570. 4 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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