World's Best Scientists 2026 revealed!
Martin Potthast

Martin Potthast

D-Index & Metrics

Computer Science

D-Index
53
Citations
10785
World Ranking
4844
National Ranking
216

Overview

Martin Potthast is affiliated with Leipzig University in Germany and has contributed extensively to the field of computer science, with a focus on artificial intelligence and information systems. Their research spans multiple subfields including sociology and political science, computer vision and pattern recognition, and molecular biology.

The scientist has published over 330 works, with a significant portion dedicated to topics such as topic modeling, natural language processing techniques, authorship attribution and profiling, semantic web and ontologies, web data mining and analysis, information retrieval and search behavior, and advanced text analysis techniques.

Frequent co-authors include:

  • Benno Stein
  • Matthias Hagen
  • Maik Fröbe
  • Johannes Kiesel
  • Janek Bevendorff

Martin Potthast's recent published papers include:

  • "Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers" (2022) in Findings of the Association for Computational Linguistics: ACL 2022
  • "Who Determines What Is Relevant? Humans or AI? Why Not Both?" (2024) in Communications of the ACM
  • "Clickbait Spoiling via Question Answering and Passage Retrieval" (2022) in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education" (2023) in ACM SIGIR Forum
  • "Opportunities and risks of disaster data from social media: a systematic review of incident information" (2021) in Natural hazards and earth system sciences

Their publications are frequently featured in venues such as Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), ACM SIGIR Forum, Journal of the Association for Information Science and Technology, and OPAL (Open@LaTrobe) at La Trobe University.

In terms of book publications, Martin Potthast has authored and contributed to works published by Springer Science+Business Media, including:

  • "Advances in Information Retrieval" (2021)
  • "Advances in Information Retrieval" (2021)
  • "Experimental IR Meets Multilinguality, Multimodality, and Interaction" (2022)

Best Publications

  • CoNLL 2018 Shared Task : Multilingual Parsing from Raw Text to Universal Dependencies

    Daniel Zeman;Jan Hajič;Martin Popel;Martin Potthast

  • A Stylometric Inquiry into Hyperpartisan and Fake News

    Martin Potthast;Johannes Kiesel;Kevin Reinartz;Janek Bevendorff

  • CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

    Daniel Zeman;Martin Popel;Milan Straka;Jan Hajic

  • An Evaluation Framework for Plagiarism Detection

    Martin Potthast;Benno Stein;Alberto Barrón-Cedeño;Paolo Rosso

  • Overview of the 2nd International Competition on Plagiarism Detection

    Martin Potthast;Alberto Barrón-Cedeño;Andreas Eiselt;Benno Stein

  • Cross-language plagiarism detection

    Martin Potthast;Alberto Barrón-Cedeño;Benno Stein;Paolo Rosso

  • Overview of the 1st international competition on plagiarism detection

    Martin Potthast;Benno Stein;Andreas Eiselt;Alberto Barrón-Cedeno

  • A Wikipedia-based multilingual retrieval model

    Martin Potthast;Benno Stein;Maik Anderka

  • Overview of the 5th Author Profiling Task at PAN 2017: Gender and Language Variety Identification in Twitter.

    Francisco Manuel Rangel Pardo;Paolo Rosso;Martin Potthast;Benno Stein

  • Overview of the 4th Author Profiling Task at PAN 2016: Cross-genre Evaluations

    Francisco Manuel Rangel Pardo;Paolo Rosso;Ben Verhoeven;Walter Daelemans

  • TIRA Integrated Research Architecture.

    Martin Potthast;Tim Gollub;Matti Wiegmann;Benno Stein

  • Overview of the author identification task at PAN 2014

    Efstathios Stamatatos;Walter Daelemans;Ben Verhoeven;Benno Stein

  • Automatic vandalism detection in Wikipedia

    Martin Potthast;Benno Stein;Robert Gerling

  • SemEval 2019 Task 4 - Hyperpartisan News Detection

    Johannes Kiesel;Maria Mestre;Rishabh Shukla;Emmanuel Vincent

  • Overview of the Author Identification Task at PAN 2015.

    Efstathios Stamatatos;Walter Daelemans;Ben Verhoeven;Patrick Juola

  • Improving the Reproducibility of PAN’s Shared Tasks:

    Martin Potthast;Tim Gollub;Francisco Rangel;Paolo Rosso

  • Building an Argument Search Engine for the Web

    Henning Wachsmuth;Martin Potthast;Khalid Al Khatib;Yamen Ajjour

  • Perspectives on Large Language Models for Relevance Judgment

    Unknown

  • Strategies for retrieving plagiarized documents

    Benno Stein;Sven Meyer zu Eissen;Martin Potthast

  • Overview of the 6th Author Profiling Task at PAN 2018: Multimodal Gender Identification in Twitter.

    Francisco M. Rangel Pardo;Paolo Rosso;Manuel Montes-y-Gómez;Martin Potthast

  • TL;DR: Mining Reddit to Learn Automatic Summarization

    Michael Völske;Martin Potthast;Shahbaz Syed;Benno Stein

  • Overview of the Author Identification Task at PAN-2017: Style Breach Detection and Author Clustering.

    Michael Tschuggnall;Efstathios Stamatatos;Ben Verhoeven;Walter Daelemans

Frequent Co-Authors

Benno Stein
Benno Stein Bauhaus University, Weimar
Paolo Rosso
Paolo Rosso Universitat Politècnica de València
Efstathios Stamatatos
Efstathios Stamatatos University of the Aegean
Walter Daelemans
Walter Daelemans University of Antwerp
Alberto Barrón-Cedeño
Alberto Barrón-Cedeño University of Bologna
Gregor Engels
Gregor Engels University of Paderborn
Chris Biemann
Chris Biemann Universität Hamburg
Pål Halvorsen
Pål Halvorsen OsloMet – Oslo Metropolitan University
Michael Riegler
Michael Riegler OsloMet – Oslo Metropolitan University
Krisztian Balog
Krisztian Balog University of Stavanger

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