Florent Chandelier

750 total citations · 1 hit paper
7 papers, 507 citations indexed

About

Florent Chandelier is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Florent Chandelier has authored 7 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Florent Chandelier's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Colorectal Cancer Screening and Detection (3 papers) and Gastric Cancer Management and Outcomes (2 papers). Florent Chandelier is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Colorectal Cancer Screening and Detection (3 papers) and Gastric Cancer Management and Outcomes (2 papers). Florent Chandelier collaborates with scholars based in Canada, United States and Ireland. Florent Chandelier's co-authors include Michael F. Byrne, Nadeem Iqbal, Nicolas Chapados, Florian Soudan, Raymond Kelly, Douglas K. Rex, Jonathan Kanevsky, Kamran Kafi, Francis J. Giles and Neal Shahidi and has published in prestigious journals such as Gastroenterology, Gut and Annals of Oncology.

In The Last Decade

Florent Chandelier

7 papers receiving 490 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.

Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model

2017 423 citations Michael F. Byrne, Nicolas Chapados et al. Gut profile →

Peers

Florent Chandelier

ONCOL

RNMI

PRM

AI

SURGE

Florian Soudan Canada

Priyam Tripathi United States

Kenichi Takeda Japan

Hirotaka Nakashima Japan

Qiu-Cheng Wang China

Andrew Ninh United States

Yoshimasa Horie Japan

Tyler Dao United States

James Requa United States

Joel Troya Germany

Florian Soudan Canada

Florent Chandelier

361 ×1.0

ONCOL

212 ×0.9

RNMI

205 ×0.9

PRM

124 ×0.9

AI

96 ×1.1

SURGE

Citations per year, relative to Florent Chandelier Florent Chandelier (= 1×) peers Florian Soudan

Countries citing papers authored by Florent Chandelier

Since Specialization

Citations

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

Fields of papers citing papers by Florent Chandelier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florent Chandelier

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Elkrief, Arielle, Corentin Richard, Lu Ding, et al.. (2021). 1357P A deep radiomics approach to assess PD-L1 expression and clinical outcomes in patients with advanced non-small cell lung cancer treated with immune checkpoint inhibitors: A multicentric study. Annals of Oncology. 32. S1029–S1029. 1 indexed citations

2.

Elkrief, Arielle, Robert U. Simpson, Marc Chassé, et al.. (2020). 1394P Deep learning model to predict clinical outcomes in patients with advanced non-small cell lung cancer treated with immune checkpoint inhibitors. Annals of Oncology. 31. S885–S885. 2 indexed citations

3.

Guizard, Nicolas, et al.. (2019). 256 – Artificial Intelligence for Real-Time Multiple Polyp Detection with Identification, Tracking, and Optical Biopsy During Colonoscopy. Gastroenterology. 156(6). S–48. 10 indexed citations

4.

Byrne, Michael F., Florian Soudan, Nicolas Chapados, et al.. (2018). Mo1679 REAL-TIME ARTIFICIAL INTELLIGENCE “FULL COLONOSCOPY WORKFLOW” FOR AUTOMATIC DETECTION FOLLOWED BY OPTICAL BIOPSY OF COLORECTAL POLYPS. Gastrointestinal Endoscopy. 87(6). AB475–AB475. 3 indexed citations

5.

Kanevsky, Jonathan, et al.. (2018). Role of artificial intelligence in the care of patients with nonsmall cell lung cancer. European Journal of Clinical Investigation. 48(4). 59 indexed citations

6.

Byrne, Michael F., Nicolas Chapados, Florian Soudan, et al.. (2017). Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model. Gut. 68(1). 94–100. 423 indexed citations breakdown →

7.

Byrne, Michael F., Nicolas Chapados, Florian Soudan, et al.. (2017). Su1614 Artificial Intelligence (AI) in Endoscopy--Deep Learning for Optical Biopsy of Colorectal Polyps in Real-Time on Unaltered Endoscopic Videos. Gastrointestinal Endoscopy. 85(5). AB364–AB365. 9 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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