H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 71 Citations 15,659 410 World Ranking 766 National Ranking 23

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Computer vision
  • Operating system

Nadia Magnenat-Thalmann focuses on Artificial intelligence, Animation, Computer graphics, Computer vision and Computer animation. Nadia Magnenat-Thalmann works mostly in the field of Artificial intelligence, limiting it down to concerns involving Personality and, occasionally, Cognitive psychology. Her Animation study combines topics in areas such as User interface, Multimedia, Rendering and Human–computer interaction.

Her Computer graphics study, which is part of a larger body of work in Computer graphics, is frequently linked to Virtual fitting, bridging the gap between disciplines. She interconnects MPEG-4 and Collision detection in the investigation of issues within Computer vision. Nadia Magnenat-Thalmann combines subjects such as Motion, Interpolation, Kinematics, Gait and Point with her study of Computer animation.

Her most cited work include:

  • A global human walking model with real-time kinematic personification (408 citations)
  • Collision Detection for Deformable Objects (407 citations)
  • Joint-dependent local deformations for hand animation and object grasping (380 citations)

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

Her primary areas of investigation include Artificial intelligence, Computer graphics, Human–computer interaction, Animation and Computer vision. Computer graphics and Rendering are among the areas of Computer graphics where the researcher is concentrating her efforts. Her Human–computer interaction research incorporates themes from Virtual machine and Multimedia.

She works in the field of Animation, namely Computer animation. Computer vision is closely attributed to Process in her work. Her studies deal with areas such as Facial motion capture and Facial expression as well as Computer facial animation.

She most often published in these fields:

  • Artificial intelligence (28.24%)
  • Computer graphics (22.86%)
  • Human–computer interaction (22.35%)

What were the highlights of her more recent work (between 2012-2020)?

  • Artificial intelligence (28.24%)
  • Computer vision (22.18%)
  • Human–computer interaction (22.35%)

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

Nadia Magnenat-Thalmann spends much of her time researching Artificial intelligence, Computer vision, Human–computer interaction, Multimedia and Social robot. Much of her study explores Artificial intelligence relationship to Pattern recognition. The study incorporates disciplines such as Process and Medical imaging in addition to Computer vision.

As a part of the same scientific study, she usually deals with the Human–computer interaction, concentrating on Gesture and frequently concerns with Facial expression and Animation. Nadia Magnenat-Thalmann combines topics linked to Computer graphics with her work on Multimedia. Her Computer graphics study is concerned with the larger field of Computer graphics.

Between 2012 and 2020, her most popular works were:

  • Fall Detection Based on Body Part Tracking Using a Depth Camera (129 citations)
  • Correlation of clinical and magnetic resonance imaging findings in hips of elite female ballet dancers. (73 citations)
  • Extreme hip motion in professional ballet dancers: dynamic and morphological evaluation based on magnetic resonance imaging (62 citations)

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

  • Artificial intelligence
  • Computer vision
  • Operating system

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Multimedia, Computer graphics and Data compression. Her research brings together the fields of Initialization and Artificial intelligence. Her Multimedia study which covers Multi-agent system that intersects with Virtual machine, Crowd simulation and Human–computer interaction.

Her Computer graphics study combines topics from a wide range of disciplines, such as Radial basis function, Set, Human body modeling and Personalization. Her Data compression study incorporates themes from Transform coding, Discrete cosine transform, Sparse PCA and Sparse matrix. Her studies in Facial expression integrate themes in fields like Animation and Motion.

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

Collision Detection for Deformable Objects

M. Teschner;S. Kimmerle;B. Heidelberger;G. Zachmann.
Computer Graphics Forum (2005)

731 Citations

A global human walking model with real-time kinematic personification

Ronan Boulic;Nadia Magnenat-Thalmann;Daniel Thalmann.
The Visual Computer (1990)

621 Citations

Joint-dependent local deformations for hand animation and object grasping

N. Magnenat-Thalmann;R. Laperrière;D. Thalmann.
graphics interface (1989)

568 Citations

A survey of mobile and wireless technologies for augmented reality systems

George Papagiannakis;Gurminder Singh;Nadia Magnenat-Thalmann.
Computer Animation and Virtual Worlds (2008)

345 Citations

Abstract muscle action procedures for human face animation

Nadia Magnenat-Thalmann;E. Primeau;Daniel Thalmann.
The Visual Computer (1988)

323 Citations

Fast head modeling for animation

Won-Sook Lee;Nadia Magnenat-Thalmann.
Image and Vision Computing (2000)

286 Citations

Made-to-measure technologies for an online clothing store

F. Cordier;Hyewon Seo;N. Magnenat-Thalmann.
IEEE Computer Graphics and Applications (2003)

274 Citations

Computer animation: theory and practice

Nadia Magnenat-Thalmann;Daniel Thalmann.
(1986)

274 Citations

A VISION-BASED APPROACH TO BEHAVIORAL ANIMATION

Olivier Renault;Nadia Magnenat-Thalmann;Daniel Thalmann.
(1998)

261 Citations

An automatic modeling of human bodies from sizing parameters

Hyewon Seo;Nadia Magnenat-Thalmann.
interactive 3d graphics and games (2003)

252 Citations

Editorial Boards

Computational Geometry: Theory and Applications
(Impact Factor: 0.455)

Visual Computer
(Impact Factor: 2.835)

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Best Scientists Citing Nadia Magnenat-Thalmann

Daniel Thalmann

Daniel Thalmann

École Polytechnique Fédérale de Lausanne

Publications: 216

Norman I. Badler

Norman I. Badler

University of Pennsylvania

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Ronan Boulic

École Polytechnique Fédérale de Lausanne

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Fernando Fernández-Aranda

Fernando Fernández-Aranda

Instituto de Salud Carlos III

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Dinesh Manocha

Dinesh Manocha

University of Maryland, College Park

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Hans-Peter Seidel

Hans-Peter Seidel

Max Planck Institute for Informatics

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Susana Jiménez-Murcia

Susana Jiménez-Murcia

Instituto de Salud Carlos III

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Catherine Pelachaud

Catherine Pelachaud

Université Paris Cité

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Ming C. Lin

Ming C. Lin

University of Maryland, College Park

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Miguel A. Otaduy

Miguel A. Otaduy

King Juan Carlos University

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José M. Menchón

José M. Menchón

Instituto de Salud Carlos III

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Zhigang Deng

Zhigang Deng

University of Houston

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Roser Granero

Roser Granero

Instituto de Salud Carlos III

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Markus Gross

Markus Gross

ETH Zurich

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Michael J. Black

Michael J. Black

Max Planck Institute for Intelligent Systems

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Matthias Teschner

Matthias Teschner

University of Freiburg

Publications: 22

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