Simon Francis

619 total citations
8 papers, 398 citations indexed

About

Simon Francis is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Simon Francis has authored 8 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Molecular Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Simon Francis's work include Digital Imaging for Blood Diseases (2 papers), Medical Image Segmentation Techniques (2 papers) and International Arbitration and Investment Law (1 paper). Simon Francis is often cited by papers focused on Digital Imaging for Blood Diseases (2 papers), Medical Image Segmentation Techniques (2 papers) and International Arbitration and Investment Law (1 paper). Simon Francis collaborates with scholars based in Canada, Sweden and Tanzania. Simon Francis's co-authors include Douglas L. Arnold, D. Louis Collins, Daniel García-Lorenzo, Sridar Narayanan, Tal Arbel, Yiming Xiao, Nagesh K. Subbanna, Mohak Shah, Rola Harmouche and Nikul Kumari and has published in prestigious journals such as NeuroImage, Medical Image Analysis and The Russian Review.

In The Last Decade

Simon Francis

7 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Francis Canada 4 191 149 128 102 69 8 398
Sandra González-Villà Spain 8 278 1.5× 190 1.3× 222 1.7× 110 1.1× 116 1.7× 11 551
Rasoul Khayati Iran 8 175 0.9× 103 0.7× 148 1.2× 75 0.7× 56 0.8× 22 373
Eloy Roura Spain 11 297 1.6× 208 1.4× 226 1.8× 171 1.7× 101 1.5× 18 666
Ivan Coronado United States 8 84 0.4× 145 1.0× 98 0.8× 101 1.0× 56 0.8× 12 330
Nagesh K. Subbanna Canada 10 219 1.1× 119 0.8× 139 1.1× 26 0.3× 87 1.3× 17 449
Ezequiel Geremia France 4 197 1.0× 80 0.5× 126 1.0× 34 0.3× 69 1.0× 6 303
Liyu Wei China 2 133 0.7× 118 0.8× 45 0.4× 130 1.3× 25 0.4× 5 316
Sheeba J. Sujit United States 7 71 0.4× 117 0.8× 83 0.6× 83 0.8× 50 0.7× 10 304
A. Saura Quiles Spain 5 105 0.5× 58 0.4× 68 0.5× 73 0.7× 23 0.3× 10 243
Ayelet Akselrod-Ballin Israel 11 162 0.8× 228 1.5× 72 0.6× 27 0.3× 181 2.6× 20 516

Countries citing papers authored by Simon Francis

Since Specialization
Citations

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

Fields of papers citing papers by Simon Francis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Francis

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

All Works

8 of 8 papers shown
1.
Radha, Mustafa, et al.. (2024). Climate Change Impact on Geographical Region and Healthcare Analysis Using Deep Learning Algorithms. Remote Sensing in Earth Systems Sciences. 8(1). 182–190. 3 indexed citations
2.
3.
García-Lorenzo, Daniel, Simon Francis, Sridar Narayanan, Douglas L. Arnold, & D. Louis Collins. (2012). Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging. Medical Image Analysis. 17(1). 1–18. 246 indexed citations
4.
Shah, Mohak, Yiming Xiao, Nagesh K. Subbanna, et al.. (2010). Evaluating intensity normalization on MRIs of human brain with multiple sclerosis. Medical Image Analysis. 15(2). 267–282. 116 indexed citations
5.
6.
Petridou, Natalia, et al.. (2009). Sparse estimation using the Dantzig Selector algorithm automatically detects single-trial BOLD responses in space and time. NeuroImage. 47. S102–S102. 1 indexed citations
7.
Harmouche, Rola, D. Louis Collins, Douglas L. Arnold, Simon Francis, & Tal Arbel. (2006). Bayesian MS Lesion Classification Modeling Regional and Local Spatial Information. 984–987. 28 indexed citations
8.
Francis, Simon, et al.. (1972). Libraries in the USSR. The Russian Review. 31(2). 199–199. 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.

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