D. Lemoine

1.3k citations
11 papers · 106 · h-index 5

Impact in

Papers in

D. Lemoine

10 papers receiving 100 citations

Peers

D. Lemoine
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 41
  • Radiology, Nuclear Medicine and Imaging 40
  • Computer Graphics and Computer-Aided Design 4
  • Cognitive Neuroscience 18
  • Media Technology 8
Replace Philipp Schad with:
Philipp Schad Germany
Barbara Villarini United Kingdom
Bishesh Khanal United Kingdom
Soufiane Belharbi Canada
Obioma Pelka Germany
Qingyi Tao Singapore
Shenjun Zhong Australia
Claudia E. Rodriguez-Carranza United States
Matthias Perkonigg Austria
D. Lemoine relative to Philipp Schad Germany Philipp Schad's profile →
Citations per field
00.5×
Philipp Schad · 1×
Citations per year

Countries citing papers authored by D. Lemoine

Since Specialization
Citations

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

Fields of papers citing papers by D. Lemoine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside D. Lemoine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Lemoine Line = papers co-authored together D. Lemoine links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 199339
2 199632
3 200012
4 199410
5 20024
6 19823
7 19902
8 20032
9 19911
10
DICOM extensions for narrow-band networks.
20001
11 20000

About D. Lemoine

D. Lemoine is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Networks and Communications and Radiation, having authored 11 papers that have together received 106 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Medical Imaging Techniques and Applications (3 papers), Digital Radiography and Breast Imaging (3 papers), Advanced Data Compression Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers), Advanced Radiotherapy Techniques (1 paper), Telemedicine and Telehealth Implementation (1 paper) and Anatomy and Medical Technology (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (41 citations), Radiology, Nuclear Medicine and Imaging (40 citations), Computer Graphics and Computer-Aided Design (4 citations), Cognitive Neuroscience (18 citations) and Media Technology (8 citations). D. Lemoine has collaborated with scholars based in France, Germany and Hungary. Frequent co-authors include Christian Barillot, Bernard Gibaud, Denis Schwartz, Jean‐Marie Scarabin, Marco Eichelberg, Joaquim Piqueras, J.-F. Heautot, M. Carsin, Catherine Tréguier and Nándor Balogh. Their work appears in journals such as European Journal of Radiology, Brain Topography, Pattern Recognition, European Radiology and Studies in health technology and informatics.

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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