D-Index & Metrics Best Publications

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 D-index 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. Citations Publications World Ranking National Ranking
Computer Science D-index 31 Citations 6,180 111 World Ranking 9605 National Ranking 4362

Overview

What is he best known for?

The fields of study Marc Rioux is best known for:

  • Abdomen
  • Appendix
  • Politics

His Computer graphics (images) research incorporates Computer graphics and Computer vision. He undertakes multidisciplinary studies into Computer graphics and Computer graphics (images) in his work. His Computer vision study frequently draws parallels with other fields, such as Cognitive neuroscience of visual object recognition. Much of his study explores Radiology relationship to Abdomen. His Optical imaging research extends to the thematically linked field of Optics. His work on Optical imaging is being expanded to include thematically relevant topics such as Optics. His Artificial intelligence study frequently draws connections between related disciplines such as Object (grammar). His studies link Cognitive neuroscience of visual object recognition with Object (grammar). Many of his studies on Paleontology involve topics that are commonly interrelated, such as Appendix.

His most cited work include:

  • Sonographic detection of the normal and abnormal appendix. (217 citations)
  • Primary epiploic appendagitis: clinical, US, and CT findings in 14 cases. (210 citations)
  • Recognition and shape synthesis of 3-D objects based on attributed hypergraphs (95 citations)

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

His Computer vision studies intersect with other subjects such as Artificial intelligence and Computer graphics (images). He undertakes multidisciplinary studies into Artificial intelligence and Computer vision in his work. Marc Rioux undertakes multidisciplinary investigations into Optics and Diffraction in his work. His work often combines Diffraction and Holography studies. His research on Holography frequently connects to adjacent areas such as Diffraction efficiency. His Diffraction efficiency study frequently draws connections to other fields, such as Optoelectronics. His multidisciplinary approach integrates Optoelectronics and Laser in his work. In his work, Marc Rioux performs multidisciplinary research in Laser and Optics. In his works, he undertakes multidisciplinary study on Radiology and Pathology.

Marc Rioux most often published in these fields:

  • Optics (39.29%)
  • Radiology (35.71%)
  • Artificial intelligence (32.14%)

What were the highlights of his more recent work (between 2008-2015)?

  • Geomorphology (50.00%)
  • Ophiolite (50.00%)
  • Structural basin (50.00%)

In recent works Marc Rioux was focusing on the following fields of study:

In the field of Quantum mechanics Marc Rioux connects related research areas like Ansatz, Bidomain model and Action (physics). He combines Action (physics) and Quantum mechanics in his research. As part of his studies on Geomorphology, Marc Rioux frequently links adjacent subjects like Facies. His Facies study frequently links to related topics such as Structural basin. His Structural basin study frequently draws connections between related disciplines such as Granulite. Much of his study explores Granulite relationship to Geomorphology. Ophiolite is closely attributed to Seismology in his study. He connects Seismology with Tectonics in his study. His study on Tectonics is mostly dedicated to connecting different topics, such as Ophiolite.

Between 2008 and 2015, his most popular works were:

  • Structure and metamorphism beneath the obducting Oman ophiolite: Evidence from the Bani Hamid granulites, northern Oman mountains (36 citations)
  • A predictive method allowing the use of a single ionic model in numerical cardiac electrophysiology (15 citations)

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

Laser ranging: a critical review of usual techniques for distance measurement

Markus-Christian Amann;Thierry M. Bosch;Marc Lescure;Risto A. Myllylae.
Optical Engineering (2001)

1061 Citations

Laser range finder based on synchronized scanners

Marc Rioux.
Applied Optics (1984)

551 Citations

Description of shape information for 2-D and 3-D objects

Eric Paquet;Marc Rioux;Anil M. Murching;Thumpudi Naveen.
Signal Processing-image Communication (2000)

437 Citations

Three-dimensional registration using range and intensity information

Guy Godin;Marc Rioux;Rejean Baribeau.
Photonics for Industrial Applications (1994)

270 Citations

Color reflectance modeling using a polychromatic laser range sensor

R. Baribeau;M. Rioux;G. Godin.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1992)

187 Citations

Three-dimensional imaging method and device

Marc Rioux;Patrick Hebert.
(1998)

177 Citations

Ring pattern of a lens-axicon doublet illuminated by a Gaussian beam

Pierre-André Bélanger;Marc Rioux.
Applied Optics (1978)

175 Citations

Active optical 3D imaging for heritage applications

G. Godin;J.-A. Beraldin;J. Taylor;L. Cournoyer.
IEEE Computer Graphics and Applications (2002)

165 Citations

Three-dimensional surface anthropometry: Applications to the human body

Peter R.M. Jones;Marc Rioux.
Optics and Lasers in Engineering (1997)

165 Citations

A comparison between Chinese and Caucasian head shapes

Roger Ball;Chang Shu;Pengcheng Xi;Marc Rioux.
Applied Ergonomics (2010)

162 Citations

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