H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 57 Citations 10,094 265 World Ranking 1941 National Ranking 87

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Programming language

His primary scientific interests are in Information retrieval, Artificial intelligence, Plagiarism detection, Natural language processing and World Wide Web. His Information retrieval research incorporates elements of Data mining, Information needs, Classifier, Web page and Fingerprint. His studies in Artificial intelligence integrate themes in fields like Stability and Machine learning.

His studies deal with areas such as Text alignment, Field, Internet privacy and Identification as well as Plagiarism detection. His study in Natural language processing is interdisciplinary in nature, drawing from both Class imbalance, Argumentation theory, Process and Robustness. His research investigates the link between World Wide Web and topics such as Profiling that cross with problems in Gender and Language and Library science.

His most cited work include:

  • Overview of the 2nd International Competition on Plagiarism Detection (295 citations)
  • An Evaluation Framework for Plagiarism Detection (248 citations)
  • A Stylometric Inquiry into Hyperpartisan and Fake News (196 citations)

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

His primary areas of investigation include Information retrieval, Artificial intelligence, Task, World Wide Web and Natural language processing. His Information retrieval research focuses on Search engine, Web search query, Plagiarism detection, Query expansion and Relevance. His Artificial intelligence research focuses on subjects like Argumentation theory, which are linked to Argument.

His World Wide Web study combines topics from a wide range of disciplines, such as Identification, Software and Profiling. In his study, he carries out multidisciplinary Profiling and Digital text research. His research on Natural language processing frequently connects to adjacent areas such as Argumentative.

He most often published in these fields:

  • Information retrieval (37.28%)
  • Artificial intelligence (25.74%)
  • Task (18.93%)

What were the highlights of his more recent work (between 2018-2021)?

  • Information retrieval (37.28%)
  • Task (18.93%)
  • Artificial intelligence (25.74%)

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

Benno Stein focuses on Information retrieval, Task, Artificial intelligence, Argument and World Wide Web. Many of his research projects under Information retrieval are closely connected to Benchmarking with Benchmarking, tying the diverse disciplines of science together. The Task study combines topics in areas such as Cognitive psychology and Information needs.

Benno Stein has included themes like Identification, Machine learning and Natural language processing in his Artificial intelligence study. His Natural language processing study integrates concerns from other disciplines, such as Domain and Annotation. His World Wide Web research includes themes of Conversational search, Change detection and Profiling.

Between 2018 and 2021, his most popular works were:

  • TIRA Integrated Research Architecture. (98 citations)
  • Data Acquisition for Argument Search: The args.me Corpus (20 citations)
  • A Decade of Shared Tasks in Digital Text Forensics at PAN (19 citations)

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

  • Artificial intelligence
  • Machine learning
  • Programming language

Task, Information retrieval, Argument, Natural language processing and Artificial intelligence are his primary areas of study. His Task research integrates issues from Authorship attribution, Cognitive science, Style and Change detection. His studies deal with areas such as Software and World Wide Web as well as Authorship attribution.

His study in Information retrieval is interdisciplinary in nature, drawing from both State and Profiling. His research in Argument intersects with topics in Cognitive psychology, Set, Argumentation theory, Rhetorical question and Argumentative. His Natural language processing research is multidisciplinary, incorporating elements of Domain, Writing style and Recall.

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

An Evaluation Framework for Plagiarism Detection

Martin Potthast;Benno Stein;Alberto Barrón-Cedeño;Paolo Rosso.
international conference on computational linguistics (2010)

354 Citations

Overview of the 2nd International Competition on Plagiarism Detection

Martin Potthast;Alberto Barrón-Cedeño;Andreas Eiselt;Benno Stein.
cross language evaluation forum (2011)

308 Citations

Cross-Language Text Classification Using Structural Correspondence Learning

Peter Prettenhofer;Benno Stein.
meeting of the association for computational linguistics (2010)

276 Citations

Overview of the 2nd Author Profiling Task at PAN 2014

Francisco Rangel;Paolo Rosso;irina Chrugur;Martin Potthast.
CLEF 2014 Evaluation Labs and Workshop Working Notes Papers, Sheffield, UK, 2014 (2013)

271 Citations

Overview of the 1st international competition on plagiarism detection

Martin Potthast;Benno Stein;Andreas Eiselt;Alberto Barrón-Cedeno.
SEPLN 2009 - 3rd Workshop on Uncovering Plagiarism, Authorship and Social Software Misuse, PAN 2009 and 1st International Competition on Plagiarism Detection (2009)

269 Citations

A Wikipedia-based multilingual retrieval model

Martin Potthast;Benno Stein;Maik Anderka.
european conference on information retrieval (2008)

263 Citations

Cross-language plagiarism detection

Martin Potthast;Alberto Barrón-Cedeño;Benno Stein;Paolo Rosso.
language resources and evaluation (2011)

252 Citations

Intrinsic plagiarism detection

Sven Meyer zu Eissen;Benno Stein.
european conference on information retrieval (2006)

240 Citations

Automatic vandalism detection in Wikipedia

Martin Potthast;Benno Stein;Robert Gerling.
european conference on information retrieval (2008)

216 Citations

The Eras and Trends of Automatic Short Answer Grading

Steven Burrows;Iryna Gurevych;Benno Stein.
International Journal of Artificial Intelligence in Education (2015)

215 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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