Charles Florin

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

About

Charles Florin is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Charles Florin has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Charles Florin's work include Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Image and Signal Denoising Methods (2 papers). Charles Florin is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Image and Signal Denoising Methods (2 papers). Charles Florin collaborates with scholars based in United States, Germany and South Korea. Charles Florin's co-authors include Luca Bogoni, Linda Zhao, Gerardo Hermosillo Valadez, Linda Moy, Vikas C. Raykar, Shipeng Yu, Anna Jerebko, Nikos Paragios, Gareth Funka-Lea and Marcos Salganicoff and has published in prestigious journals such as American Journal of Roentgenology, Journal of Machine Learning Research and European Radiology.

In The Last Decade

Charles Florin

9 papers receiving 1.1k citations

Hit Papers

Learning From Crowds 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Florin United States 8 653 525 225 177 142 10 1.1k
Luca Bogoni United States 19 852 1.3× 601 1.1× 377 1.7× 405 2.3× 163 1.1× 44 1.8k
Gerardo Hermosillo Valadez United States 4 708 1.1× 600 1.1× 115 0.5× 34 0.2× 162 1.1× 5 1.0k
Soumya Ray United States 17 810 1.2× 27 0.1× 374 1.7× 77 0.4× 67 0.5× 64 1.4k
Catarina Moreira Portugal 15 717 1.1× 24 0.0× 217 1.0× 483 2.7× 126 0.9× 73 1.3k
Yuan Dong China 13 363 0.6× 76 0.1× 403 1.8× 29 0.2× 13 0.1× 100 833
Laura Igual Spain 17 229 0.4× 86 0.2× 601 2.7× 243 1.4× 9 0.1× 41 1.3k
Chaosheng Tang China 15 389 0.6× 23 0.0× 286 1.3× 239 1.4× 13 0.1× 55 1.1k
R. Bharat Rao Germany 14 505 0.8× 14 0.0× 218 1.0× 74 0.4× 35 0.2× 36 882
Telmo M. Silva Filho Brazil 8 460 0.7× 25 0.0× 114 0.5× 43 0.2× 45 0.3× 35 700

Countries citing papers authored by Charles Florin

Since Specialization
Citations

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

Fields of papers citing papers by Charles Florin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Florin

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

All Works

10 of 10 papers shown
1.
Godoy, Myrna C. B., Tae Jung Kim, Charles S. White, et al.. (2012). Benefit of Computer-Aided Detection Analysis for the Detection of Subsolid and Solid Lung Nodules on Thin- and Thick-Section CT. American Journal of Roentgenology. 200(1). 74–83. 46 indexed citations
3.
Florin, Charles, Luca Bogoni, Heon Lee, et al.. (2011). Computer-aided detection of pulmonary embolism at CT pulmonary angiography: can it improve performance of inexperienced readers?. European Radiology. 21(6). 1214–1223. 24 indexed citations
4.
Raykar, Vikas C., Shipeng Yu, Linda Zhao, et al.. (2010). Learning From Crowds. Journal of Machine Learning Research. 11(43). 1297–1322. 650 indexed citations breakdown →
5.
Raykar, Vikas C., Shipeng Yu, Linda Zhao, et al.. (2009). Supervised learning from multiple experts. 889–896. 232 indexed citations
6.
Jolly, Marie‐Pierre, et al.. (2008). On the registrability of two CT volumes. 1079–1082.
7.
Florin, Charles, Nikos Paragios, Gareth Funka-Lea, & Jim Williams. (2007). Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support. Lecture notes in computer science. 20. 38–49. 28 indexed citations
8.
Funka-Lea, Gareth, et al.. (2006). Automatic Heart Isolation for CT Coronary Visualization Using Graph-Cuts. 614–617. 48 indexed citations
9.
Florin, Charles, et al.. (2005). Particle Filters, a Quasi-Monte Carlo Solution for Segmentation of Coronaries. Lecture notes in computer science. 8(Pt 1). 246–253. 61 indexed citations
10.
Florin, Charles, et al.. (2005). Monte-carlo Sampling, Particle Filters and Segmentation of Coronaries. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026