D-Index & Metrics Best Publications

Johan Montagnat

Centre national de la recherche scientifique, CNRS
France

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 32 Citations 5,182 174 World Ranking 9204 National Ranking 225

Overview

What is he best known for?

The fields of study he is best known for:

Operating system
Artificial intelligence
Programming language

His primary areas of study are Grid, Artificial intelligence, Computer vision, Distributed computing and Workflow. His biological study focuses on Grid computing. His work on Segmentation, Object, 3D reconstruction and Image segmentation as part of general Artificial intelligence research is frequently linked to Match moving, bridging the gap between disciplines.

His studies in Computer vision integrate themes in fields like 3D ultrasound and Search engine indexing. In his study, which falls under the umbrella issue of Distributed computing, Data mining and Overhead is strongly linked to Software deployment. His work on Workflow management system and Workflow technology as part of general Workflow research is often related to Flexibility, thus linking different fields of science.

His most cited work include:

Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery (258 citations)
A review of deformable surfaces: topology, geometry and deformation (252 citations)
Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR (169 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Grid, Workflow, Distributed computing, Grid computing and Artificial intelligence. The various areas that he examines in his Grid study include Middleware and Database, Data mining, Data management. He has researched Workflow in several fields, including World Wide Web and Data science.

His Distributed computing research is multidisciplinary, incorporating elements of Overhead, Software deployment, Service, Exploit and Testbed. The concepts of his Grid computing study are interwoven with issues in Latency, Medical imaging, Image processing, Middleware and Statistical model. His research in Artificial intelligence tackles topics such as Computer vision which are related to areas like Axial symmetry.

He most often published in these fields:

Grid (35.59%)
Workflow (25.99%)
Distributed computing (24.86%)

What were the highlights of his more recent work (between 2012-2021)?

Workflow (25.99%)
Information retrieval (10.17%)
SPARQL (6.21%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Workflow, Information retrieval, SPARQL, World Wide Web and RDF query language. His biological study spans a wide range of topics, including Variety, Grid computing and Data science. His study looks at the relationship between Grid computing and fields such as Workflow application, as well as how they intersect with chemical problems.

His SPARQL research is multidisciplinary, relying on both Query language and Linked data. His Windows Workflow Foundation study incorporates themes from XPDL and Distributed computing. His Distributed computing study combines topics in areas such as Workflow Management Coalition and Serialization.

Between 2012 and 2021, his most popular works were:

A Virtual Imaging Platform for Multi-Modality Medical Image Simulation (76 citations)
Scientific Workflows: Past, Present and Future (55 citations)
A survey of RDB to RDF translation approaches and tools (48 citations)

In his most recent research, the most cited papers focused on:

Operating system
Artificial intelligence
Programming language

The scientist’s investigation covers issues in Workflow, Workflow management system, Information retrieval, Workflow engine and Windows Workflow Foundation. His studies deal with areas such as Computer architecture, CPU time, Image, Computer vision and Virtual reality as well as Workflow. His study in Workflow management system is interdisciplinary in nature, drawing from both Data science, Usability and Index.

His work carried out in the field of Workflow engine brings together such families of science as Workflow technology and Distributed computing. Johan Montagnat combines subjects such as Workflow application, Serialization, Workflow Management Coalition, Grid computing and Interoperability with his study of Distributed computing. His SPARQL research includes themes of Query language and Linked data.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery

Luc Soler;Herve Delingette;Gregoire Malandain;Johan Montagnat.
Computer Aided Surgery (2001)

439 Citations

Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery

Luc Soler;Herve Delingette;Gregoire Malandain;Johan Montagnat.
Medical Imaging 2000: Image Processing (2000)

434 Citations

A review of deformable surfaces: topology, geometry and deformation

Johan Montagnat;Hervé Delingette;Nicholas Ayache.
Image and Vision Computing (2001)

417 Citations

Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR

Tristan Glatard;Johan Montagnat;Diane Lingrand;Xavier Pennec.
ieee international conference on high performance computing data and analytics (2008)

278 Citations

4D deformable models with temporal constraints: application to 4D cardiac image segmentation.

Johan Montagnat;Hervé Delingette.
Medical Image Analysis (2005)

237 Citations

Shape and Topology Constraints on Parametric Active Contours

H. Delingette;J. Montagnat.
Computer Vision and Image Understanding (2001)

161 Citations

Texture based medical image indexing and retrieval: application to cardiac imaging

Tristan Glatard;Johan Montagnat;Isabelle E. Magnin.
multimedia information retrieval (2004)

144 Citations

Anisotropic filtering for model-based segmentation of 4D cylindrical echocardiographic images

J. Montagnat;M. Sermesant;H. Delingette;G. Malandain.
Pattern Recognition Letters (2003)

118 Citations

Scientific Workflows: Past, Present and Future

Malcolm P. Atkinson;Sandra Gesing;Johan Montagnat;Ian J. Taylor;Ian J. Taylor.
Future Generation Computer Systems (2017)

117 Citations

A Virtual Imaging Platform for Multi-Modality Medical Image Simulation

T. Glatard;C. Lartizien;B. Gibaud;Rafael Ferreira da Silva.
IEEE Transactions on Medical Imaging (2013)

113 Citations

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Frequent Co-Authors

External Links

Personal Website for Johan Montagnat