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
Computer Science D-index 32 Citations 5,772 241 World Ranking 9102 National Ranking 4174

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • The Internet
  • World Wide Web

Lora Aroyo mainly focuses on World Wide Web, Semantic Web, Multimedia, User modeling and Personalization. Lora Aroyo has included themes like Ontology and Knowledge economy in her World Wide Web study. Her research integrates issues of Web intelligence and Library science in her study of Semantic Web.

Her Multimedia research is multidisciplinary, incorporating perspectives in Domain, Recommender system, Adaptive learning, Adaptation and Electronic performance support systems. Her User modeling study combines topics from a wide range of disciplines, such as Semantic analysis, Friendship, Social system and Presentation. Lora Aroyo focuses mostly in the field of Personalization, narrowing it down to topics relating to Mobile device and, in certain cases, Information presentation, Relevance and Serendipity.

Her most cited work include:

  • The Semantic Web - ISWC 2011: 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part I (259 citations)
  • The effects of transparency on trust in and acceptance of a content-based art recommender (203 citations)
  • Crowdsourcing in the cultural heritage domain: opportunities and challenges (183 citations)

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

Her primary areas of study are World Wide Web, Semantic Web, Multimedia, Crowdsourcing and Information retrieval. Many of her studies involve connections with topics such as User modeling and World Wide Web. Her study looks at the relationship between User modeling and topics such as Human–computer interaction, which overlap with Domain.

Lora Aroyo combines subjects such as Ontology, Semantic interoperability, Interoperability and Semantics with her study of Semantic Web. Her Crowdsourcing research integrates issues from Annotation, Artificial intelligence, Relationship extraction, Ambiguity and Data science. Her Information retrieval study incorporates themes from Metadata and Task.

She most often published in these fields:

  • World Wide Web (49.24%)
  • Semantic Web (22.52%)
  • Multimedia (20.23%)

What were the highlights of her more recent work (between 2016-2019)?

  • Crowdsourcing (19.47%)
  • Artificial intelligence (9.16%)
  • Data science (9.16%)

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

Her primary areas of investigation include Crowdsourcing, Artificial intelligence, Data science, World Wide Web and Natural language processing. Lora Aroyo has researched Crowdsourcing in several fields, including Annotation, Task, Relationship extraction and Ambiguity. Her Annotation research includes elements of Ranking, Metadata and Information retrieval.

The various areas that Lora Aroyo examines in her Artificial intelligence study include Machine learning and Interoperability. Her work in the fields of Digital humanities, Semantic Web and Open data overlaps with other areas such as Suite. Her work in Semantic Web addresses subjects such as Data modeling, which are connected to disciplines such as Linked data.

Between 2016 and 2019, her most popular works were:

  • Using Centrality Measures to Predict Helpfulness-Based Reputation in Trust Networks (37 citations)
  • Crowdsourcing Ground Truth for Medical Relation Extraction (29 citations)
  • The Rijksmuseum collection as linked data (17 citations)

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

  • Artificial intelligence
  • The Internet
  • World Wide Web

Her primary scientific interests are in Crowdsourcing, Artificial intelligence, Ambiguity, Data science and Linked data. Her biological study spans a wide range of topics, including Ranking, Task and Information retrieval. Her work in Artificial intelligence addresses issues such as Machine learning, which are connected to fields such as Information extraction and Named-entity recognition.

The study incorporates disciplines such as Sentence, Natural language processing and FrameNet in addition to Ambiguity. Her work deals with themes such as Ontology, Semantic Web, CIDOC Conceptual Reference Model, Data modeling and Measure, which intersect with Data science. Her study in Linked data is interdisciplinary in nature, drawing from both Open data and Data model.

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

The Semantic Web: Research and Applications

Lora Aroyo;Grigoris Antoniou;Eero Hyvönen;Annette ten Teije.
(2011)

494 Citations

Crowdsourcing in the cultural heritage domain: opportunities and challenges

Johan Oomen;Lora Aroyo.
communities and technologies (2011)

447 Citations

The effects of transparency on trust in and acceptance of a content-based art recommender

Henriette Cramer;Vanessa Evers;Satyan Ramlal;Maarten Someren.
User Modeling and User-adapted Interaction (2008)

416 Citations

The Semantic Web - ISWC 2011: 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part I

Lora Aroyo;Chris Welty;Harith Alani;Jamie Taylor.
Lecture Notes in Computer Science (2011)

393 Citations

The New Challenges for E-learning: The Educational Semantic Web

Lora Aroyo;Darina Dicheva.
Educational Technology & Society (2004)

334 Citations

Interoperability in Personalized Adaptive Learning

Lora Aroyo;Peter Dolog;Geert-Jan Houben;Milos Kravcik.
Educational Technology & Society (2006)

245 Citations

The Next Big Thing: Adaptive Web-Based Systems

Pme Paul De Bra;LM Lora Aroyo;V Vadim Chepegin.
Journal of Digital Information (2006)

179 Citations

Semantic annotation and search of cultural-heritage collections: The MultimediaN E-Culture demonstrator

Guus Schreiber;Alia Amin;Lora Aroyo;Mark van Assem.
Journal of Web Semantics (2008)

165 Citations

The Semantic Web - ISWC 2013

Harith Alani;Lalana Kagal;Achille Fokoue;Paul Groth.
Lecture Notes in Computer Science (2013)

155 Citations

Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation

Lora Aroyo;Chris Welty.
Ai Magazine (2015)

150 Citations

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