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 39 Citations 7,036 117 World Ranking 4639 National Ranking 6

Research.com Recognitions

Awards & Achievements

2017 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • The Internet
  • Statistics
  • Artificial intelligence

His primary scientific interests are in Information retrieval, Social media, Search engine, Artificial intelligence and Semantic search. His Information retrieval research incorporates themes from Statistical classification, World Wide Web, Index and Measure. His research investigates the connection between World Wide Web and topics such as Census that intersect with issues in Internal migration, Social network, Entropy and Transactional leadership.

His Social media study combines topics from a wide range of disciplines, such as Classifier, Supervised learning and Lexicon. Web query classification is the focus of his Search engine research. His Artificial intelligence course of study focuses on Natural language processing and Feature.

His most cited work include:

  • Automated Hate Speech Detection and the Problem of Offensive Language (519 citations)
  • Automated Hate Speech Detection and the Problem of Offensive Language (249 citations)
  • Learning Cross-Modal Embeddings for Cooking Recipes and Food Images (195 citations)

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

His primary areas of investigation include Social media, World Wide Web, Information retrieval, Advertising and Social psychology. His research integrates issues of Test, Media studies, Public relations, Set and Internet privacy in his study of Social media. The World Wide Web study combines topics in areas such as Popularity and Data science, Computational sociology.

His study looks at the relationship between Data science and fields such as Social network, as well as how they intersect with chemical problems. Information retrieval is frequently linked to Web page in his study. His Advertising research includes elements of Higher education and Marketing.

He most often published in these fields:

  • Social media (32.03%)
  • World Wide Web (24.68%)
  • Information retrieval (14.29%)

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

  • Social media (32.03%)
  • Artificial intelligence (5.19%)
  • Advertising (12.12%)

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

Ingmar Weber mainly investigates Social media, Artificial intelligence, Advertising, Social psychology and Machine learning. Ingmar Weber integrates Social media with Feedback effect in his research. His work investigates the relationship between Artificial intelligence and topics such as Natural language processing that intersect with problems in Feature.

His Advertising study integrates concerns from other disciplines, such as Marketing and Health care. His work on Artificial neural network as part of general Machine learning research is frequently linked to Modal and Recipe, thereby connecting diverse disciplines of science. His work carried out in the field of Classifier brings together such families of science as Supervised learning and Lexicon.

Between 2016 and 2021, his most popular works were:

  • Automated Hate Speech Detection and the Problem of Offensive Language (519 citations)
  • Automated Hate Speech Detection and the Problem of Offensive Language (249 citations)
  • Learning Cross-Modal Embeddings for Cooking Recipes and Food Images (195 citations)

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

  • The Internet
  • Artificial intelligence
  • Statistics

Ingmar Weber mainly focuses on Social media, Artificial intelligence, Social psychology, Polarization and Advertising. His research in Social media intersects with topics in Classifier, Supervised learning and Lexicon. His Artificial intelligence study also includes

  • Natural language processing that connect with fields like Feature,
  • Search engine most often made with reference to Machine learning.

His Social psychology study combines topics in areas such as Cognitive science and Moral foundations theory. His study in Polarization is interdisciplinary in nature, drawing from both Presidential system and Media studies. His study focuses on the intersection of Advertising and fields such as Higher education with connections in the field of Mental health.

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

Automated Hate Speech Detection and the Problem of Offensive Language

Thomas Davidson;Dana Warmsley;Michael W. Macy;Ingmar Weber.
international conference on weblogs and social media (2017)

650 Citations

Type less, find more: fast autocompletion search with a succinct index

Holger Bast;Ingmar Weber.
international acm sigir conference on research and development in information retrieval (2006)

264 Citations

Web search queries can predict stock market volumes.

Ilaria Bordino;Stefano Battiston;Guido Caldarelli;Guido Caldarelli;Matthieu Cristelli.
PLOS ONE (2012)

264 Citations

Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

Amaia Salvador;Nicholas Hynes;Yusuf Aytar;Javier Marin.
computer vision and pattern recognition (2017)

248 Citations

You Tweet What You Eat: Studying Food Consumption Through Twitter

Sofiane Abbar;Yelena Mejova;Ingmar Weber.
human factors in computing systems (2015)

241 Citations

Personalized, interactive tag recommendation for flickr

Nikhil Garg;Ingmar Weber.
conference on recommender systems (2008)

207 Citations

Type Less, Find More: Fast Autocompletion Search with a Succinct Index

Holger Bast;Ingmar Weber;Efthimis N. Efthimiadis;Susan Dumais.
Untitled Event (2006)

202 Citations

Understanding Abuse: A Typology of Abusive Language Detection Subtasks.

Zeerak Waseem;Thomas Davidson;Dana Warmsley;Ingmar Weber.
meeting of the association for computational linguistics (2017)

197 Citations

A large-scale sentiment analysis for Yahoo! answers

Onur Kucuktunc;B. Barla Cambazoglu;Ingmar Weber;Hakan Ferhatosmanoglu.
web search and data mining (2012)

189 Citations

ESTER: efficient search on text, entities, and relations

Holger Bast;Alexandru Chitea;Fabian Suchanek;Ingmar Weber.
international acm sigir conference on research and development in information retrieval (2007)

188 Citations

Best Scientists Citing Ingmar Weber

Fabrício Benevenuto

Fabrício Benevenuto

Universidade Federal de Minas Gerais

Publications: 26

Daniele Quercia

Daniele Quercia

Nokia (United States)

Publications: 23

Gerhard Weikum

Gerhard Weikum

Max Planck Institute for Informatics

Publications: 21

Preslav Nakov

Preslav Nakov

Qatar Computing Research Institute

Publications: 18

Mounia Lalmas

Mounia Lalmas

Spotify

Publications: 18

Marcos Zampieri

Marcos Zampieri

Rochester Institute of Technology

Publications: 18

Bernard J. Jansen

Bernard J. Jansen

Qatar Computing Research Institute

Publications: 18

Ryen W. White

Ryen W. White

Microsoft (United States)

Publications: 16

Ee-Peng Lim

Ee-Peng Lim

Singapore Management University

Publications: 15

Shuqiang Jiang

Shuqiang Jiang

Chinese Academy of Sciences

Publications: 14

Emiliano De Cristofaro

Emiliano De Cristofaro

University College London

Publications: 13

Jussara M. Almeida

Jussara M. Almeida

Universidade Federal de Minas Gerais

Publications: 13

Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

Publications: 13

Chen Li

Chen Li

University of California, Irvine

Publications: 13

Jiebo Luo

Jiebo Luo

University of Rochester

Publications: 12

Ponnurangam Kumaraguru

Ponnurangam Kumaraguru

Indraprastha Institute of Information Technology Delhi

Publications: 12

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.

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.