Matti Wiegmann
Impact in
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- Geographic Information Systems Studies
- Communication top 10%
- Public Relations and Crisis Communication
Papers in
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- Authorship Attribution and Profiling 5
- Sentiment Analysis and Opinion Mining 4
- Hate Speech and Cyberbullying Detection 3
- Topic Modeling 3
- Natural Language Processing Techniques 2
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- Disaster Management and Resilience 3
- Co-authors
- Benno Stein (16 shared papers)Martin Potthast (14 shared papers)Jens Kersten (6 shared papers)Friederike Klan (6 shared papers)Yeran Sun (2 shared papers)Xuke Hu (2 shared papers)Hongchao Fan (2 shared papers)Matthias Hagen (2 shared papers)
- Journals
- IEEE Internet of Things Journal (1 paper)AI & Society (1 paper)Natural hazards and earth system sciences (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)International Conference on Computational Linguistics (1 paper)
- Partner nations
- GermanyUnited KingdomNorway
In The Last Decade
Matti Wiegmann
16 papers receiving 184 citations
Peers
Comparison fields: 5 of 44
- Geography, Planning and Development 37
- Communication 43
- Artificial Intelligence 96
- Human-Computer Interaction 16
- Transportation 16
Countries citing papers authored by Matti Wiegmann
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
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-authors
The 25 scholars most cited alongside Matti Wiegmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Crowdsourcing a Large Corpus of Clickbait on Twitter | 2018 | 45 |
| 2 | 2021 | 32 | |
| 3 | 2022 | 23 | |
| 4 | Overview of the Cross-Domain Authorship Verification Task at PAN 2020. | 2020 | 18 |
| 5 | 2021 | 15 | |
| 6 | 2015 | 13 | |
| 7 | 2019 | 12 | |
| 8 | Robust filtering of crisis-related tweets. | 2019 | 10 |
| 9 | Analysis of Detection Models for Disaster-Related Tweets | 2020 | 10 |
| 10 | Overview of the Celebrity Profiling Task at PAN 2019. | 2019 | 4 |
| 11 | 2023 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | Towards Predicting the Subscription Status of Twitch.tv Users - ECML-PKDD ChAT Discovery Challenge 2020. | 2020 | 0 |
| 20 | 2024 | 0 |
About Matti Wiegmann
Matti Wiegmann is a scholar working on Artificial Intelligence, Sociology and Political Science, Communication, Information Systems and Education, having authored 20 papers that have together received 194 indexed citations. Recurring topics across this work include Authorship Attribution and Profiling (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Public Relations and Crisis Communication (4 papers), Hate Speech and Cyberbullying Detection (3 papers), Disaster Management and Resilience (3 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Geography, Planning and Development (37 citations), Communication (43 citations), Artificial Intelligence (96 citations), Human-Computer Interaction (16 citations) and Transportation (16 citations). Matti Wiegmann has collaborated with scholars based in Germany, United Kingdom and Norway. Frequent co-authors include Benno Stein, Martin Potthast, Jens Kersten, Friederike Klan, Yeran Sun, Xuke Hu, Hongchao Fan, Matthias Hagen, Tim Gollub and Sebastian Schuster. Their work appears in journals such as IEEE Internet of Things Journal, AI & Society, Natural hazards and earth system sciences, Proceedings of the AAAI Conference on Artificial Intelligence and International Conference on Computational Linguistics.
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.