Christian Daul

1.3k total citations
62 papers, 461 citations indexed

About

Christian Daul 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, Christian Daul has authored 62 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 17 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Christian Daul's work include Advanced Vision and Imaging (14 papers), Medical Image Segmentation Techniques (13 papers) and Robotics and Sensor-Based Localization (9 papers). Christian Daul is often cited by papers focused on Advanced Vision and Imaging (14 papers), Medical Image Segmentation Techniques (13 papers) and Robotics and Sensor-Based Localization (9 papers). Christian Daul collaborates with scholars based in France, Mexico and Russia. Christian Daul's co-authors include Walter Blondel, Didier Wolf, Sharib Ali, Jacques Hubert, Gilberto Ochoa‐Ruiz, Charles Soussen, Pierre Graebling, Alain Tiedeu, François Guillemin and Dominique Lamarque and has published in prestigious journals such as Optics Express, Expert Systems with Applications and IEEE Access.

In The Last Decade

Christian Daul

57 papers receiving 441 citations

Peers

Christian Daul
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 201
  • Radiology, Nuclear Medicine and Imaging 105
  • Pulmonary and Respiratory Medicine 80
  • Biomedical Engineering 75
  • Oncology 74
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Citations per field, relative to Christian Daul
Christian Daul · 1×
Citations per year, relative to Christian Daul
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Countries citing papers authored by Christian Daul

Since Specialization
Citations

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

Fields of papers citing papers by Christian Daul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Daul

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Daul. A scholar is included among the top collaborators of Christian Daul 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 Christian Daul. Christian Daul 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
# Work Indexed citations
1 0
2 0
3 2
4 1
5 14
6 1
7 64
8 1
9 18
10 5
11 22
12 3
13 5
14 2
15 5
16 27
17 0
18
Endoscopic Bladder image registration using sparse graph cuts
2
19
Automated detection and classification of clusters of microcalcifications in mammograms.
1
20 9

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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