Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A Stylometric Inquiry into Hyperpartisan and Fake News
2018417 citationsMartin Potthast, Johannes Kiesel et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Benno Stein's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Benno Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benno Stein more than expected).
This network shows the impact of papers produced by Benno Stein. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benno Stein. The network helps show where Benno Stein may publish in the future.
Co-authorship network of co-authors of Benno Stein
This figure shows the co-authorship network connecting the top 25 collaborators of Benno Stein.
A scholar is included among the top collaborators of Benno Stein based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Benno Stein. Benno Stein is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wachsmuth, Henning, et al.. (2018). Argumentation Synthesis following Rhetorical Strategies. Data Archiving and Networked Services (DANS). 3753–3765.25 indexed citations
13.
Hagen, Matthias, Martin Potthast, & Benno Stein. (2017). Overview of the Author Obfuscation Task at PAN 2017: Safety Evaluation Revisited.. CLEF (Working Notes).8 indexed citations
14.
Potthast, Martin, Matthias Hagen, & Benno Stein. (2016). Author Obfuscation: Attacking the State of the Art in Authorship Verification.. CLEF (Working Notes). 716–749.12 indexed citations
15.
Wachsmuth, Henning, et al.. (2014). Modeling Review Argumentation for Robust Sentiment Analysis. International Conference on Computational Linguistics. 553–564.19 indexed citations
16.
Wachsmuth, Henning, Benno Stein, & Gregor Engels. (2013). Learning Efficient Information Extraction on Heterogeneous Texts. International Joint Conference on Natural Language Processing. 534–542.1 indexed citations
17.
Potthast, Martin, Matthias Hagen, Michael Völske, & Benno Stein. (2013). Crowdsourcing Interaction Logs to Understand Text Reuse from the Web. Meeting of the Association for Computational Linguistics. 1212–1221.27 indexed citations
18.
Prettenhofer, Peter & Benno Stein. (2010). Cross-Language Text Classification Using Structural Correspondence Learning. Meeting of the Association for Computational Linguistics. 1118–1127.170 indexed citations
19.
Potthast, Martin, Benno Stein, Alberto Barrón‐Cedeño, & Paolo Rosso. (2010). An Evaluation Framework for Plagiarism Detection. International Conference on Computational Linguistics. 997–1005.190 indexed citations
20.
Stein, Benno & Sven Meyer zu Eissen. (2008). Retrieval Models for Genre Classification. Journal of the Association for Information Systems. 20(1). 3.25 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.