What is she best known for?
The fields of study Nadia Magnenat-Thalmann is best known for:
- Computer graphics (images)
- Computer animation
- Texture mapping
Nadia Magnenat-Thalmann incorporates Computer graphics (images) and Rendering (computer graphics) in her studies.
Her Artificial intelligence study frequently links to other fields, such as Motion (physics).
Her Motion (physics) study frequently draws connections to adjacent fields such as Artificial intelligence.
In her works, Nadia Magnenat-Thalmann performs multidisciplinary study on Animation and Computer facial animation.
In her articles, Nadia Magnenat-Thalmann combines various disciplines, including Computer facial animation and Computer animation.
In her works, she performs multidisciplinary study on Computer animation and Animation.
Nadia Magnenat-Thalmann frequently studies issues relating to Virtual reality and Human–computer interaction.
As part of her studies on Virtual reality, Nadia Magnenat-Thalmann frequently links adjacent subjects like Human–computer interaction.
She incorporates Computer vision and Computer graphics (images) in her studies.
Her most cited work include:
- A global human walking model with real-time kinematic personification (446 citations)
- Collision Detection for Deformable Objects (383 citations)
- Abstract muscle action procedures for human face animation (183 citations)
What are the main themes of her work throughout her whole career to date
Artificial intelligence and Motion (physics) are frequently intertwined in her study.
Motion (physics) is closely attributed to Artificial intelligence in her study.
Nadia Magnenat-Thalmann performs multidisciplinary study in Computer graphics (images) and Computer graphics in her work.
Her work on Human–computer interaction is being expanded to include thematically relevant topics such as Virtual reality.
Virtual reality is closely attributed to Human–computer interaction in her research.
In her works, she undertakes multidisciplinary study on Computer vision and Computer graphics (images).
She connects Animation with Computer facial animation in her study.
Nadia Magnenat-Thalmann merges Computer facial animation with Computer animation in her research.
Borrowing concepts from Animation, Nadia Magnenat-Thalmann weaves in ideas under Computer animation.
Nadia Magnenat-Thalmann most often published in these fields:
- Artificial intelligence (54.49%)
- Computer graphics (images) (51.69%)
- Human–computer interaction (40.45%)
What were the highlights of her more recent work (between 2017-2021)?
- Virtual reality (66.67%)
- Human–computer interaction (66.67%)
- Computer graphics (images) (50.00%)
In recent works Nadia Magnenat-Thalmann was focusing on the following fields of study:
Her work blends Virtual reality and Mixed reality studies together.
She combines Mixed reality and Virtual reality in her studies.
In her study, Nadia Magnenat-Thalmann carries out multidisciplinary Human–computer interaction and Augmented reality research.
She incorporates Augmented reality and Motion capture in her research.
She integrates Computer graphics (images) and Computer graphics in her studies.
Nadia Magnenat-Thalmann merges many fields, such as Computer graphics and Computer graphics (images), in her writings.
She undertakes multidisciplinary investigations into Multimedia and Animation in her work.
With her scientific publications, her incorporates both Animation and Multimedia.
Her study in Motion (physics) extends to Artificial intelligence with its themes.
Between 2017 and 2021, her most popular works were:
- Assessing the emotional impact of virtual reality-based teacher training (27 citations)
- Mixed Reality, Gamified Presence, and Storytelling for Virtual Museums (25 citations)
- Salsa dance learning evaluation and motion analysis in gamified virtual reality environment (18 citations)
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