D-Index & Metrics Best Publications

D-Index & Metrics

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 32 Citations 5,694 119 World Ranking 7038 National Ranking 192

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Linguistics
  • Social psychology

His main research concerns Artificial intelligence, Human–computer interaction, Machine learning, Big Five personality traits and Social psychology. As part of his studies on Artificial intelligence, he frequently links adjacent subjects like Natural language processing. His research in Human–computer interaction tackles topics such as Autism which are related to areas like Multimedia.

His work in Machine learning covers topics such as Mobile phone which are related to areas like Statistical model and Stress. His Big Five personality traits study deals with the bigger picture of Personality. His work in the fields of Affect overlaps with other areas such as Emotional geography, Pleasure, Activities of daily living and Elderly people.

His most cited work include:

  • Tense and Aspect: From Semantics to Morphosyntax (386 citations)
  • User Modeling, Adaptation, and Personalization (226 citations)
  • Friends don't lie: inferring personality traits from social network structure (141 citations)

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

Fabio Pianesi focuses on Artificial intelligence, Human–computer interaction, Natural language processing, Personality and Cognitive psychology. Fabio Pianesi works mostly in the field of Artificial intelligence, limiting it down to concerns involving Machine learning and, occasionally, Mobile phone. His Human–computer interaction research includes themes of Group dynamic, Multimedia, Autism and Mobile computing.

When carried out as part of a general Natural language processing research project, his work on Interlingua is frequently linked to work in Resource, therefore connecting diverse disciplines of study. In the subject of general Personality, his work in Big Five personality traits, Extraversion and introversion and Alternative five model of personality is often linked to Social environment, thereby combining diverse domains of study. His Big Five personality traits research is multidisciplinary, relying on both Context, Neuroticism and Locus of control.

He most often published in these fields:

  • Artificial intelligence (29.76%)
  • Human–computer interaction (19.05%)
  • Natural language processing (14.29%)

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

  • Personality (14.29%)
  • Mobile phone (7.14%)
  • Artificial intelligence (29.76%)

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

Fabio Pianesi mainly focuses on Personality, Mobile phone, Artificial intelligence, Cognitive psychology and Internet privacy. He interconnects Experience sampling method, Context and Social dynamics in the investigation of issues within Personality. As part of the same scientific family, Fabio Pianesi usually focuses on Context, concentrating on Big Five personality traits and intersecting with Stress.

His Mobile phone research includes elements of Social media, Machine learning, Happiness and Data science. His Artificial intelligence study frequently links to related topics such as Human–computer interaction. His work carried out in the field of Human–computer interaction brings together such families of science as State and Computer vision.

Between 2012 and 2021, his most popular works were:

  • Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data (122 citations)
  • Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits (114 citations)
  • Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits (95 citations)

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

  • Artificial intelligence
  • Linguistics
  • Social psychology

Fabio Pianesi spends much of his time researching Artificial intelligence, Mobile phone, Machine learning, Data science and Big Five personality traits. Fabio Pianesi has included themes like Exploit and Set in his Artificial intelligence study. While the research belongs to areas of Machine learning, he spends his time largely on the problem of Mobile computing, intersecting his research to questions surrounding Data mining, Feature extraction and Reality mining.

The concepts of his Data science study are interwoven with issues in Internet privacy and Profiling. His Big Five personality traits research incorporates elements of Context, Stress and Statistical model. His Stress research integrates issues from Computer security and Ubiquitous computing.

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

Tense and Aspect: From Semantics to Morphosyntax

Alessandra Giorgi;Fabio Pianesi.
(1997)

1435 Citations

Useful, Social and Enjoyable: Mobile Phone Adoption by Older People

Mario Conci;Fabio Pianesi;Massimo Zancanaro.
international conference on human computer interaction (2009)

253 Citations

User Modeling, Adaptation, and Personalization

Geert-Jan Houben;Gord McCalla;Fabio Pianesi;Massimo Zancanaro.
(2011)

228 Citations

Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data

Andrey Bogomolov;Bruno Lepri;Jacopo Staiano;Nuria Oliver.
international conference on multimodal interfaces (2014)

223 Citations

Friends don't lie: inferring personality traits from social network structure

Jacopo Staiano;Bruno Lepri;Nadav Aharony;Fabio Pianesi.
ubiquitous computing (2012)

193 Citations

Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits

Andrey Bogomolov;Bruno Lepri;Michela Ferron;Fabio Pianesi.
acm multimedia (2014)

189 Citations

Multimodal recognition of personality traits in social interactions

Fabio Pianesi;Nadia Mana;Alessandro Cappelletti;Bruno Lepri.
international conference on multimodal interfaces (2008)

187 Citations

Enhancing social communication of children with high-functioning autism through a co-located interface

Eynat Gal;Nirit Bauminger;Dina Goren-Bar;Fabio Pianesi.
Ai & Society (2009)

175 Citations

Building the Italian Syntactic-Semantic Treebank

Simonetta Montemagni;Francesco Barsotti;Marco Battista;Nicoletta Calzolari.
TEXT, SPEECH AND LANGUAGE TECHNOLOGY (2003)

159 Citations

Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits

Andrey Bogomolov;Bruno Lepri;Michela Ferron;Fabio Pianesi.
arXiv: Computers and Society (2014)

139 Citations

Best Scientists Citing Fabio Pianesi

Alessandro Vinciarelli

Alessandro Vinciarelli

University of Glasgow

Publications: 42

Daniel Gatica-Perez

Daniel Gatica-Perez

Idiap Research Institute

Publications: 40

Bruno Lepri

Bruno Lepri

Fondazione Bruno Kessler

Publications: 37

Massimo Zancanaro

Massimo Zancanaro

University of Trento

Publications: 27

Alex Pentland

Alex Pentland

MIT

Publications: 26

Oliviero Stock

Oliviero Stock

Fondazione Bruno Kessler

Publications: 18

Nicu Sebe

Nicu Sebe

University of Trento

Publications: 15

Maja Pantic

Maja Pantic

Imperial College London

Publications: 15

Nuria Oliver

Nuria Oliver

Vodafone (United Kingdom)

Publications: 13

Vittorio Murino

Vittorio Murino

Italian Institute of Technology

Publications: 12

Daniel Marcu

Daniel Marcu

University of Southern California

Publications: 12

Zhiwen Yu

Zhiwen Yu

Northwestern Polytechnical University

Publications: 12

Alex Waibel

Alex Waibel

Carnegie Mellon University

Publications: 11

Marco Cristani

Marco Cristani

University of Verona

Publications: 10

Zachary Warren

Zachary Warren

Vanderbilt University Medical Center

Publications: 10

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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