H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 58 Citations 13,218 246 World Ranking 1755 National Ranking 5

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Natural language processing
  • Programming language

Preslav Nakov focuses on Artificial intelligence, Natural language processing, SemEval, Information retrieval and Arabic. His Artificial intelligence research incorporates elements of Social media and Machine learning. He combines subjects such as Test and Identification with his study of Natural language processing.

His SemEval study integrates concerns from other disciplines, such as Sentiment analysis and Context. His Information retrieval research includes themes of Crowdsourcing, World Wide Web and Test data. In his research on the topic of Arabic, Similarity, Encoding, Reliability, Artificial neural network and Fact checking is strongly related with Question answering.

His most cited work include:

  • SemEval-2013 Task 2: Sentiment Analysis in Twitter (440 citations)
  • SemEval-2017 Task 4: Sentiment Analysis in Twitter (427 citations)
  • SemEval-2015 Task 10: Sentiment Analysis in Twitter (308 citations)

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

Preslav Nakov mainly focuses on Artificial intelligence, Natural language processing, Machine translation, Information retrieval and SemEval. His Artificial intelligence study frequently links to adjacent areas such as Machine learning. Preslav Nakov focuses mostly in the field of Natural language processing, narrowing it down to matters related to Identification and, in some cases, Clef.

His study in Machine translation is interdisciplinary in nature, drawing from both Speech recognition, Translation and Rule-based machine translation. His SemEval study combines topics from a wide range of disciplines, such as Context, Social media, Variety and Semantic similarity. The Question answering study combines topics in areas such as Fact checking and World Wide Web.

He most often published in these fields:

  • Artificial intelligence (68.10%)
  • Natural language processing (60.34%)
  • Machine translation (18.97%)

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

  • Artificial intelligence (68.10%)
  • Social media (10.92%)
  • Natural language processing (60.34%)

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

Preslav Nakov mainly investigates Artificial intelligence, Social media, Natural language processing, Internet privacy and Fake news. His Artificial intelligence study frequently links to other fields, such as Machine learning. His work in the fields of Social media, such as Disinformation, overlaps with other areas such as Social environment.

The concepts of his Natural language processing study are interwoven with issues in SemEval and Identification. His Internet privacy research focuses on Persuasion and how it relates to Image and Annotation. His studies in Fake news integrate themes in fields like Similarity, Statement, News media and Media literacy.

Between 2019 and 2021, his most popular works were:

  • SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020) (139 citations)
  • A Large-Scale Semi-Supervised Dataset for Offensive Language Identification (64 citations)
  • SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles (53 citations)

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

  • Artificial intelligence
  • Programming language
  • Machine learning

The scientist’s investigation covers issues in Social media, Artificial intelligence, Natural language processing, Identification and SemEval. Preslav Nakov has researched Social media in several fields, including Similarity and Statement. Many of his studies involve connections with topics such as Initialization and Artificial intelligence.

His Natural language processing study integrates concerns from other disciplines, such as Field and Preprocessor. Preslav Nakov works mostly in the field of Identification, limiting it down to topics relating to Clef and, in certain cases, Ranking, Web page, Set, Rank and Deep neural networks, as a part of the same area of interest. His studies deal with areas such as Context, Danish, Arabic and Turkish as well as SemEval.

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.

Top Publications

SemEval-2017 Task 4: Sentiment Analysis in Twitter

Sara Rosenthal;Noura Farra;Preslav Nakov.
meeting of the association for computational linguistics (2017)

1112 Citations

SemEval-2016 Task 4: Sentiment Analysis in Twitter

Preslav Nakov;Alan Ritter;Sara Rosenthal;Fabrizio Sebastiani.
north american chapter of the association for computational linguistics (2016)

1005 Citations

SemEval-2013 Task 2: Sentiment Analysis in Twitter

Preslav Nakov;Sara Rosenthal;Zornitsa Kozareva;Veselin Stoyanov.
joint conference on lexical and computational semantics (2013)

565 Citations

Overview of BioCreative II gene mention recognition

Larry Smith;Lorraine K Tanabe;Rie Johnson nee Ando;Cheng-Ju Kuo.
Genome Biology (2008)

366 Citations

SemEval-2014 Task 9: Sentiment Analysis in Twitter

Sara Rosenthal;Alan Ritter;Preslav Nakov;Veselin Stoyanov.
international conference on computational linguistics (2014)

321 Citations

SemEval-2015 Task 10: Sentiment Analysis in Twitter

Sara Rosenthal;Preslav Nakov;Svetlana Kiritchenko;Saif Mohammad.
north american chapter of the association for computational linguistics (2015)

308 Citations

SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval).

Marcos Zampieri;Shervin Malmasi;Preslav Nakov;Sara Rosenthal.
north american chapter of the association for computational linguistics (2019)

303 Citations

SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals

Iris Hendrickx;Su Nam Kim;Zornitsa Kozareva;Preslav Nakov.
north american chapter of the association for computational linguistics (2009)

271 Citations

SemEval-2017 Task 3: Community Question Answering

Preslav Nakov;Doris Hoogeveen;Lluís Màrquez;Alessandro Moschitti.
meeting of the association for computational linguistics (2017)

263 Citations

Predicting the Type and Target of Offensive Posts in Social Media

Marcos Zampieri;Shervin Malmasi;Preslav Nakov;Sara Rosenthal.
north american chapter of the association for computational linguistics (2019)

242 Citations

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

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Top Scientists Citing Preslav Nakov

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National Academies of Sciences, Engineering, and Medicine

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United States National Library of Medicine

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