Kevin Keraudren

16 total papers · 603 total citations
8 papers, 256 citations indexed

About

Kevin Keraudren is a scholar working on Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Kevin Keraudren has authored 8 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pediatrics, Perinatology and Child Health, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Kevin Keraudren's work include Fetal and Pediatric Neurological Disorders (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Medical Image Segmentation Techniques (3 papers). Kevin Keraudren is often cited by papers focused on Fetal and Pediatric Neurological Disorders (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Medical Image Segmentation Techniques (3 papers). Kevin Keraudren collaborates with scholars based in United Kingdom, Austria and Germany. Kevin Keraudren's co-authors include Daniel Rueckert, Joseph V. Hajnal, Mary Rutherford, Bernhard Kainz, Christina Malamateniou, Maria Kuklisova‐Murgasova, Vanessa Kyriakopoulou, Markus Steinberger, Thomas Torsney-Weir and Wolfgang Wein and has published in prestigious journals such as NeuroImage, IEEE Transactions on Medical Imaging and Lecture notes in computer science.

In The Last Decade

Kevin Keraudren

8 papers receiving 254 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kevin Keraudren	198	102	71	49	20	8	256
Lisa M. Koch	162 0.8×	105 1.0×	104 1.5×	81 1.7×	37 1.9×	13	314
Thomas L. A. van den Heuvel	122 0.6×	87 0.9×	93 1.3×	69 1.4×	42 2.1×	10	328
Sandra Smith	139 0.7×	77 0.8×	106 1.5×	53 1.1×	38 1.9×	5	267
Dagmar de Bruijn	109 0.6×	36 0.4×	65 0.9×	59 1.2×	20 1.0×	6	251
Abdelhakim Ouaalam	213 1.1×	123 1.2×	91 1.3×	58 1.2×	17 0.8×	5	305
David Coronado-Gutiérrez	127 0.6×	71 0.7×	79 1.1×	29 0.6×	14 0.7×	10	245
Alan Glover	134 0.7×	119 1.2×	27 0.4×	19 0.4×	10 0.5×	6	213
Mrinalini Bhagawati	43 0.2×	48 0.5×	39 0.5×	17 0.3×	12 0.6×	9	203
Nadieh Khalili	76 0.4×	38 0.4×	33 0.5×	27 0.6×	28 1.4×	7	133
Seyed Raein Hashemi	36 0.2×	88 0.9×	86 1.2×	98 2.0×	13 0.7×	7	239

Countries citing papers authored by Kevin Keraudren

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Keraudren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Keraudren

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

All Works

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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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