Deepak Alapatt

878 total citations
13 papers, 412 citations indexed

About

Deepak Alapatt is a scholar working on Surgery, Oncology and Biomedical Engineering. According to data from OpenAlex, Deepak Alapatt has authored 13 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 4 papers in Oncology and 4 papers in Biomedical Engineering. Recurrent topics in Deepak Alapatt's work include Surgical Simulation and Training (9 papers), Colorectal Cancer Screening and Detection (4 papers) and Anatomy and Medical Technology (3 papers). Deepak Alapatt is often cited by papers focused on Surgical Simulation and Training (9 papers), Colorectal Cancer Screening and Detection (4 papers) and Anatomy and Medical Technology (3 papers). Deepak Alapatt collaborates with scholars based in France, Italy and United States. Deepak Alapatt's co-authors include Nicolas Padoy, Pietro Mascagni, Guido Costamagna, Armine Vardazaryan, Didier Mutter, Bernard Dallemagne, Jacques Marescaux, Takeshi Urade, Claudio Fiorillo and Patrick Pessaux and has published in prestigious journals such as Annals of Surgery, IEEE Transactions on Medical Imaging and British journal of surgery.

In The Last Decade

Deepak Alapatt

12 papers receiving 404 citations

Peers

Countries citing papers authored by Deepak Alapatt

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Alapatt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Alapatt

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Alapatt. A scholar is included among the top collaborators of Deepak Alapatt 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 Deepak Alapatt. Deepak Alapatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Endoscapes, a critical view of safety and surgical scene segmentation dataset for laparoscopic cholecystectomy 2025 ·Scientific Data ·Pietro Mascagni, Deepak Alapatt, (unknown), Armine Vardazaryan, Alain Garcia, (unknown), Guido Costamagna, Didier Mutter, Jacques Marescaux, Bernard Dallemagne, Nicolas Padoy	1
2	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
3	Optimizing latent graph representations of surgical scenes for unseen domain generalization 2024 ·International Journal of Computer Assisted Radiology and Surgery ·(unknown), (unknown), Deepak Alapatt, Xin Wang, Pietro Mascagni, Nicolas Padoy	1
4	Applications of artificial intelligence in surgery: clinical, technical, and governance considerations 2024 ·Cirugía Española ·(unknown), Deepak Alapatt, (unknown), Tong Yu, Sergio Alfieri, Salvador Morales‐Conde, Nicolas Padoy, Silvana Perretta	1
5	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
6	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
7	Latent Graph Representations for Critical View of Safety Assessment 2023 ·IEEE Transactions on Medical Imaging ·(unknown), Deepak Alapatt, Pietro Mascagni, Armine Vardazaryan, Alain Garcia, (unknown), Didier Mutter, Nicolas Padoy	10
8	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
9	Multicentric validation of EndoDigest: a computer vision platform for video documentation of the critical view of safety in laparoscopic cholecystectomy 2022 ·Surgical Endoscopy ·Pietro Mascagni, Deepak Alapatt, Giovanni Guglielmo Laracca, Ludovica Guerriero, Andrea Spota, Claudio Fiorillo, Armine Vardazaryan, Giuseppe Quero, (unknown), Ludovica Baldari, Elisa Cassinotti, Luigi Boni, Diego Cuccurullo, Guido Costamagna, Bernard Dallemagne, Nicolas Padoy	19
10	Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases 2022 ·IEEE Transactions on Medical Imaging ·(unknown), Deepak Alapatt, Pietro Mascagni, Alexandros Karargyris, Nicolas Padoy	1
11	A Computer Vision Platform to Automatically Locate Critical Events in Surgical Videos 2021 ·Annals of Surgery ·Pietro Mascagni, Deepak Alapatt, Takeshi Urade, Armine Vardazaryan, Didier Mutter, Jacques Marescaux, Guido Costamagna, Bernard Dallemagne, Nicolas Padoy	54
12	Artificial Intelligence for Surgical Safety 2020 ·Annals of Surgery ·Pietro Mascagni, Armine Vardazaryan, Deepak Alapatt, Takeshi Urade, (unknown), Claudio Fiorillo, Patrick Pessaux, Didier Mutter, Jacques Marescaux, Guido Costamagna, Bernard Dallemagne, Nicolas Padoy	166
13	Numerical solution of nonlinear fractional SEIR epidemic model by using Haar wavelets 2017 ·Journal of Computational Science ·(unknown), (unknown), Deepak Alapatt	10

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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