Matti Wiegmann

737 total citations
19 papers, 190 citations indexed

About

Matti Wiegmann is a scholar working on Artificial Intelligence, Sociology and Political Science and Communication. According to data from OpenAlex, Matti Wiegmann has authored 19 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Sociology and Political Science and 6 papers in Communication. Recurrent topics in Matti Wiegmann's work include Authorship Attribution and Profiling (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Public Relations and Crisis Communication (4 papers). Matti Wiegmann is often cited by papers focused on Authorship Attribution and Profiling (5 papers), Sentiment Analysis and Opinion Mining (4 papers) and Public Relations and Crisis Communication (4 papers). Matti Wiegmann collaborates with scholars based in Germany, Norway and United Kingdom. Matti Wiegmann's co-authors include Benno Stein, Martin Potthast, Friederike Klan, Jens Kersten, Xuke Hu, Yeran Sun, Hongchao Fan, Matthias Hagen, Sebastian Schuster and Tim Gollub and has published in prestigious journals such as IEEE Internet of Things Journal, Natural hazards and earth system sciences and International Journal of Geographical Information Systems.

In The Last Decade

Matti Wiegmann

16 papers receiving 179 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Matti Wiegmann Germany	9	94	78	44	37	27	19	190
Reem Suwaileh Qatar	8	105 1.1×	64 0.8×	27 0.6×	15 0.4×	34 1.3×	16	138
William Corvey United States	8	105 1.1×	55 0.7×	59 1.3×	8 0.2×	34 1.3×	9	194
Prashanth Vijayaraghavan United States	6	69 0.7×	32 0.4×	13 0.3×	2 0.1×	18 0.7×	23	149
Sreenivasulu Madichetty India	12	265 2.8×	135 1.7×	195 4.4×	7 0.2×	27 1.0×	13	339
Carlos Periñán-Pascual Spain	11	241 2.6×	22 0.3×	10 0.2×	12 0.3×	14 0.5×	45	302
Ahmed Mourad Australia	6	202 2.1×	21 0.3×	14 0.3×	3 0.1×	61 2.3×	12	240
Amin Ahmad Pakistan	2	194 2.1×	25 0.3×	13 0.3×	3 0.1×	27 1.0×	8	242
Jelena Mitrović Germany	9	197 2.1×	54 0.7×	41 0.9×	3 0.1×	49 1.8×	39	272
Leo G Stewart United States	5	68 0.7×	144 1.8×	116 2.6×	2 0.1×	34 1.3×	5	191
Clare Llewellyn United Kingdom	6	60 0.6×	37 0.5×	25 0.6×	4 0.1×	33 1.2×	21	112

Countries citing papers authored by Matti Wiegmann

Since Specialization

Citations

This map shows the geographic impact of Matti Wiegmann'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 Matti Wiegmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matti Wiegmann more than expected).

Fields of papers citing papers by Matti Wiegmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matti Wiegmann. 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 Matti Wiegmann. The network helps show where Matti Wiegmann may publish in the future.

Co-authorship network of co-authors of Matti Wiegmann

This figure shows the co-authorship network connecting the top 25 collaborators of Matti Wiegmann. A scholar is included among the top collaborators of Matti Wiegmann 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 Matti Wiegmann. Matti Wiegmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Bevendorff, Janek, et al.. (2025). The Two Paradigms of LLM Detection: Authorship Attribution vs. Authorship Verification. 3762–3787.

Neyer, Jürgen, Bernd Froehlich, Patrick Riehmann, et al.. (2025). KI und Kritisches Denken beim Forschenden Lernen in Politikwissenschaften. Zeitschrift für Hochschulentwicklung. 20(SH-KI-2). 39–59. 1 indexed citations

Bevendorff, Janek, Matti Wiegmann, Martin Potthast, & Benno Stein. (2024). Product Spam on YouTube: A Case Study. Zenodo (CERN European Organization for Nuclear Research). 358–363.

Loebe, Frank, Yamen Ajjour, Christopher Akiki, et al.. (2023). Shared Tasks as Tutorials: A Methodical Approach. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 15807–15815. 1 indexed citations

Wolska, Magdalena, et al.. (2023). Trigger Warnings: Bootstrapping a Violence Detector for Fan Fiction. 569–576. 1 indexed citations

Wiegmann, Matti, et al.. (2023). Trigger Warning Assignment as a Multi-Label Document Classification Problem. 12113–12134. 3 indexed citations

Hu, Xuke, Zhiyong Zhou, Yeran Sun, et al.. (2022). GazPNE2: A General Place Name Extractor for Microblogs Fusing Gazetteers and Pretrained Transformer Models. IEEE Internet of Things Journal. 9(17). 16259–16271. 22 indexed citations

Wiegmann, Matti, Michael Völske, Benno Stein, & Martin Potthast. (2022). Language Models as Context-sensitive Word Search Engines. 39–45. 1 indexed citations

Wiegmann, Matti, Jens Kersten, Hansi Senaratne, et al.. (2021). Opportunities and risks of disaster data from social media: a systematic review of incident information. Natural hazards and earth system sciences. 21(5). 1431–1444. 15 indexed citations

10.

Hu, Xuke, Jens Kersten, Matti Wiegmann, et al.. (2021). GazPNE: annotation-free deep learning for place name extraction from microblogs leveraging gazetteer and synthetic data by rules. International Journal of Geographical Information Systems. 36(2). 310–337. 30 indexed citations

11.

Kestemont, Mike, Ilia Markov, Janek Bevendorff, et al.. (2020). Overview of the Cross-Domain Authorship Verification Task at PAN 2020.. CLEF (Working Notes). 1743–1759. 19 indexed citations

12.

Wiegmann, Matti, Jens Kersten, Hansi Senaratne, et al.. (2020). Opportunities and Risks of Disaster Data from Social Media: A Systematic Review of Incident Information. elib (German Aerospace Center). 3 indexed citations

13.

Potthast, Martin, et al.. (2020). Towards Predicting the Subscription Status of Twitch.tv Users - ECML-PKDD ChAT Discovery Challenge 2020..

14.

Wiegmann, Matti, Jens Kersten, Friederike Klan, Martin Potthast, & Benno Stein. (2020). Analysis of Detection Models for Disaster-Related Tweets. elib (German Aerospace Center). 10 indexed citations

15.

Kersten, Jens, Anna Kruspe, Matti Wiegmann, & Friederike Klan. (2019). Robust filtering of crisis-related tweets.. elib (German Aerospace Center). 10 indexed citations

16.

Wiegmann, Matti, Benno Stein, & Martin Potthast. (2019). Overview of the Celebrity Profiling Task at PAN 2019.. CLEF (Working Notes). 4 indexed citations

17.

Wiegmann, Matti, Benno Stein, & Martin Potthast. (2019). Celebrity Profiling. Zenodo (CERN European Organization for Nuclear Research). 2611–2618. 12 indexed citations

18.

Potthast, Martin, Tim Gollub, Sebastian Schuster, et al.. (2018). Crowdsourcing a Large Corpus of Clickbait on Twitter. International Conference on Computational Linguistics. 1498–1507. 46 indexed citations

19.

Fischer, Patrick Tobias, et al.. (2015). Castle-Sized Interfaces. 91–97. 12 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.

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