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 41 Citations 8,760 140 World Ranking 4276 National Ranking 256

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • World Wide Web

Information retrieval, Ontology, World Wide Web, Semantic Web and Sentiment analysis are his primary areas of study. His Information retrieval study combines topics in areas such as Ranking and Semantics. The Process ontology research he does as part of his general Ontology study is frequently linked to other disciplines of science, such as Ontology, therefore creating a link between diverse domains of science.

His studies examine the connections between Process ontology and genetics, as well as such issues in Upper ontology, with regards to Ontology-based data integration. Harith Alani has included themes like Visualization and Protégé in his World Wide Web study. His work on Semantic Web Stack as part of his general Semantic Web study is frequently connected to Construct, thereby bridging the divide between different branches of science.

His most cited work include:

  • Automatic ontology-based knowledge extraction from Web documents (409 citations)
  • Semantic sentiment analysis of twitter (330 citations)
  • Data Driven Ontology Evaluation (317 citations)

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

Harith Alani mainly focuses on World Wide Web, Ontology, Information retrieval, Social media and Semantic Web. His World Wide Web study which covers Internet privacy that intersects with Context. Harith Alani interconnects Knowledge management and Knowledge-based systems in the investigation of issues within Ontology.

His work on IDEF5, Ranking and Query expansion as part of general Information retrieval research is frequently linked to Set, thereby connecting diverse disciplines of science. His Social media research integrates issues from Data science and Semantics, Artificial intelligence. The concepts of his Semantics study are interwoven with issues in Sentiment analysis and Natural language processing.

He most often published in these fields:

  • World Wide Web (36.76%)
  • Ontology (24.51%)
  • Information retrieval (22.55%)

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

  • Social media (21.08%)
  • Data science (13.73%)
  • Semantics (13.24%)

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

Harith Alani spends much of his time researching Social media, Data science, Semantics, Event and Artificial intelligence. His Social media study necessitates a more in-depth grasp of World Wide Web. His studies in World Wide Web integrate themes in fields like Feature engineering and Lexical representation.

His studies deal with areas such as Context, Contextual information and Terminology as well as Semantics. In his study, which falls under the umbrella issue of Artificial intelligence, Word is strongly linked to Natural language processing. Ontology is frequently linked to Knowledge management in his study.

Between 2016 and 2021, his most popular works were:

  • Online Misinformation: Challenges and Future Directions (33 citations)
  • Bias in data-driven artificial intelligence systems - An introductory survey (29 citations)
  • Exploring Misogyny across the Manosphere in Reddit (25 citations)

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

  • Artificial intelligence
  • The Internet
  • World Wide Web

Harith Alani mainly focuses on Social media, Semantics, Artificial intelligence, World Wide Web and Event. His Social media research incorporates elements of Sentiment analysis and Natural language processing. His biological study spans a wide range of topics, including Context, Contextual information, Adaptation and Lexicon.

The concepts of his Context study are interwoven with issues in Social web, Terminology, Offensive and Representation. In general Artificial intelligence study, his work on Interpretability, Frame and Data-driven often relates to the realm of Focus and Term, thereby connecting several areas of interest. The World Wide Web study combines topics in areas such as Feature engineering, Service and Lexical representation.

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

Automatic ontology-based knowledge extraction from Web documents

H. Alani;Sanghee Kim;D.E. Millard;M.J. Weal.
IEEE Intelligent Systems (2003)

682 Citations

Semantic sentiment analysis of twitter

Hassan Saif;Yulan He;Harith Alani.
international semantic web conference (2012)

606 Citations

Data Driven Ontology Evaluation

Christopher Brewster;Harith Alani;Srinandan Dasmahapatra;Yorick Wilks.
language resources and evaluation (2004)

545 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)

399 Citations

Contextual semantics for sentiment analysis of Twitter

Hassan Saif;Yulan He;Miriam Fernandez;Harith Alani.
Information Processing and Management (2016)

375 Citations

Evaluation Datasets for Twitter Sentiment Analysis: A survey and a new dataset, the STS-Gold.

Hassan Saif;Miriam Fernández;Yulan He;Harith Alani.
[email protected]*IA (2013)

277 Citations

Geographical Information Retrieval with Ontologies of Place

Christopher B. Jones;Harith Alani;Douglas Tudhope.
conference on spatial information theory (2001)

249 Citations

Alleviating Data Sparsity for Twitter Sentiment Analysis

Hassan Saif;Yulan He;Harith Alani.
#MSM (2012)

240 Citations

Ranking ontologies with AKTiveRank

Harith Alani;Christopher Brewster;Nigel Shadbolt.
international semantic web conference (2006)

225 Citations

On Stopwords, Filtering and Data Sparsity for Sentiment Analysis of Twitter

Hassan Saif;Miriam Fernandez;Yulan He;Harith Alani.
language resources and evaluation (2014)

211 Citations

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