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
Engineering and Technology D-index 30 Citations 4,048 107 World Ranking 6207 National Ranking 221
Computer Science D-index 40 Citations 5,781 157 World Ranking 5866 National Ranking 143

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Social psychology
  • The Internet

Bruno Lepri spends much of his time researching Artificial intelligence, Machine learning, Mobile phone, Big Five personality traits and Personality. He conducts interdisciplinary study in the fields of Artificial intelligence and Attractiveness through his research. His research integrates issues of Stress and Quality of life in his study of Machine learning.

His Mobile phone research integrates issues from Regional science, Urban studies and Census. The concepts of his Personality study are interwoven with issues in Cognitive psychology, Human–computer interaction and Social network. The study incorporates disciplines such as Big Five personality traits and culture, Computer vision and Set in addition to Extraversion and introversion.

His most cited work include:

  • Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. (172 citations)
  • Friends don't lie: inferring personality traits from social network structure (141 citations)
  • Multimodal recognition of personality traits in social interactions (140 citations)

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

Bruno Lepri mostly deals with Artificial intelligence, Personality, Mobile phone, Big Five personality traits and Cognitive psychology. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Natural language processing. His work on Extraversion and introversion and Alternative five model of personality as part of general Personality study is frequently linked to Trait, bridging the gap between disciplines.

His Mobile phone study integrates concerns from other disciplines, such as Social relation, Social media and Internet privacy. His Internet privacy research includes elements of Order and Personally identifiable information. His Big Five personality traits study frequently draws connections to other fields, such as Social network.

He most often published in these fields:

  • Artificial intelligence (25.94%)
  • Personality (15.57%)
  • Mobile phone (12.74%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (25.94%)
  • Pandemic (2.83%)
  • Developmental psychology (2.83%)

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

The scientist’s investigation covers issues in Artificial intelligence, Pandemic, Developmental psychology, Control and Data collection. In his study, Bruno Lepri carries out multidisciplinary Artificial intelligence and Structure research. His Pandemic research is multidisciplinary, relying on both Contact tracing and Severe acute respiratory syndrome coronavirus 2.

His study in Developmental psychology is interdisciplinary in nature, drawing from both Context and Facial expression. He focuses mostly in the field of Psychological intervention, narrowing it down to topics relating to Information exchange and, in certain cases, Mobile phone. His work carried out in the field of Mobile phone brings together such families of science as Open data and World population.

Between 2019 and 2021, his most popular works were:

  • Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. (172 citations)
  • Mobile phone data and COVID-19: Missing an opportunity? (43 citations)
  • Modelling Taxi Drivers’ Behaviour for the Next Destination Prediction (19 citations)

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

  • Artificial intelligence
  • Social psychology
  • The Internet

His main research concerns Pandemic, Control, Artificial intelligence, Scale and Contact tracing. His Artificial intelligence study frequently draws connections between adjacent fields such as Data science. He has included themes like Phase, Order and Internet privacy in his Scale study.

In his research on the topic of Psychological intervention, Mobile phone is strongly related with Economic growth. His Mobile phone research includes themes of Information exchange and Location intelligence. His Representation study incorporates themes from Pattern recognition, Translation and Interpolation.

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

Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle.

Nuria Oliver;Bruno Lepri;Harald Sterly;Renaud Lambiotte;Renaud Lambiotte.
Science Advances (2020)

391 Citations

Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle.

Nuria Oliver;Bruno Lepri;Harald Sterly;Renaud Lambiotte;Renaud Lambiotte.
Science Advances (2020)

391 Citations

Fair, Transparent, and Accountable Algorithmic Decision-making Processes: The Premise, the Proposed Solutions, and the Open Challenges

Bruno Lepri;Nuria Oliver;Emmanuel Letouzé;Alex Pentland.
Philosophy & Technology (2018)

351 Citations

Fair, Transparent, and Accountable Algorithmic Decision-making Processes: The Premise, the Proposed Solutions, and the Open Challenges

Bruno Lepri;Nuria Oliver;Emmanuel Letouzé;Alex Pentland.
Philosophy & Technology (2018)

351 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)

304 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)

304 Citations

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

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

237 Citations

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

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

237 Citations

A multi-source dataset of urban life in the city of Milan and the Province of Trentino

Gianni Barlacchi;Marco De Nadai;Roberto Larcher;Antonio Casella.
Scientific Data (2015)

221 Citations

A multi-source dataset of urban life in the city of Milan and the Province of Trentino

Gianni Barlacchi;Marco De Nadai;Roberto Larcher;Antonio Casella.
Scientific Data (2015)

221 Citations

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