D-Index & Metrics Best Publications
Computer Science
Germany
2023

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 61 Citations 14,679 536 World Ranking 1960 National Ranking 77

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Germany Leader Award

2010 - Member of Academia Europaea

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Programming language
  • The Internet

Artificial intelligence, Human–computer interaction, Multimedia, Presentation and Cognitive psychology are her primary areas of study. Her work deals with themes such as Speech recognition, Computer vision and Natural language processing, which intersect with Artificial intelligence. Her Speech recognition research incorporates elements of Affective computing and Feature.

Her Human–computer interaction study combines topics from a wide range of disciplines, such as Interface and Cultural computing. Her biological study spans a wide range of topics, including Realization, Task, Computer graphics, Presentation logic and World Wide Web. She interconnects Facial expression, Embodied agent, Deception and Affect in the investigation of issues within Cognitive psychology.

Her most cited work include:

  • Emotion recognition based on physiological changes in music listening (659 citations)
  • The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (528 citations)
  • From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification (376 citations)

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

The scientist’s investigation covers issues in Human–computer interaction, Multimedia, Artificial intelligence, Context and User interface. Elisabeth André studied Human–computer interaction and Embodied cognition that intersect with Conversation. The concepts of her Multimedia study are interwoven with issues in World Wide Web, Presentation, Interactive storytelling and Style.

Many of her studies on Presentation apply to Graphics as well. Her research in Artificial intelligence intersects with topics in Machine learning, Speech recognition, Computer vision and Natural language processing. Her research is interdisciplinary, bridging the disciplines of Feature extraction and Speech recognition.

She most often published in these fields:

  • Human–computer interaction (38.72%)
  • Multimedia (25.69%)
  • Artificial intelligence (17.06%)

What were the highlights of her more recent work (between 2016-2021)?

  • Human–computer interaction (38.72%)
  • Artificial intelligence (17.06%)
  • Machine learning (4.04%)

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

Her primary areas of investigation include Human–computer interaction, Artificial intelligence, Machine learning, Robot and Cognitive psychology. Her Human–computer interaction study which covers Context that intersects with Personality. Her work on Pattern recognition expands to the thematically related Artificial intelligence.

Elisabeth André regularly ties together related areas like Annotation in her Machine learning studies. Her study in the fields of Human–robot interaction under the domain of Robot overlaps with other disciplines such as Social robot. Many of her studies involve connections with topics such as Interface and User experience design.

Between 2016 and 2021, her most popular works were:

  • Adapting a Robot's linguistic style based on socially-aware reinforcement learning (33 citations)
  • How to Shape the Humor of a Robot - Social Behavior Adaptation Based on Reinforcement Learning (29 citations)
  • Multi-modal Pain Intensity Recognition based on the SenseEmotion Database (23 citations)

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

  • Artificial intelligence
  • Human–computer interaction
  • Programming language

Her main research concerns Human–computer interaction, Artificial intelligence, Robot, Reinforcement learning and Social robot. Her Human–computer interaction research includes themes of Task and Embodied cognition. Her work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Pattern recognition.

The Robot study combines topics in areas such as Sonic interaction design, Personality, Nonverbal communication and Adaptation. Her studies deal with areas such as Context and Laughter as well as Adaptation. Her Reinforcement learning research is multidisciplinary, incorporating perspectives in Intelligent agent, Contextual image classification and Salience.

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

Emotion recognition based on physiological changes in music listening

Jonghwa Kim;Elisabeth Andre.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)

1158 Citations

The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

Florian Eyben;Klaus R. Scherer;Bjorn W. Schuller;Johan Sundberg.
IEEE Transactions on Affective Computing (2016)

948 Citations

From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification

J. Wagner;J. Kim;E. Andre.
international conference on multimedia and expo (2005)

667 Citations

Creating interactive virtual humans: some assembly required

J. Gratch;J. Rickel;E. Andre;J. Cassell.
IEEE Intelligent Systems (2002)

491 Citations

The Persona Effect: How Substantial Is It?

Susanne Van Mulken;Elisabeth André;Jochen Müller.
HCI '98 Proceedings of HCI on People and Computers XIII (1998)

342 Citations

Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition

T. Vogt;E. Andre.
international conference on multimedia and expo (2005)

302 Citations

Plan-based integration of natural language and graphics generation

Wolfgang Wahlster;Elisabeth André;Wolfgang Finkler;Hans-Jürgen Profitlich.
Artificial Intelligence (1998)

282 Citations

The automated design of believable dialogues for animated presentation teams

Elisabeth André;Thomas Rist;Susanne van Mulken;Martin Klesen.
Embodied conversational agents (2001)

270 Citations

Integrating models of personality and emotions into lifelike characters

Elisabeth André;Martin Klesen;Patrick Gebhard;Steve Allen.
Lecture Notes in Computer Science (2000)

262 Citations

The social signal interpretation (SSI) framework: multimodal signal processing and recognition in real-time

Johannes Wagner;Florian Lingenfelser;Tobias Baur;Ionut Damian.
acm multimedia (2013)

232 Citations

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