Michael Wiegand
Impact in
- Artificial Intelligence top 0.5%
- Hate Speech and Cyberbullying Detection
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Communication top 2%
- Social Media and Politics
Papers in
-
- Topic Modeling 39
- Natural Language Processing Techniques 30
- Sentiment Analysis and Opinion Mining 30
- Advanced Text Analysis Techniques 21
- Hate Speech and Cyberbullying Detection 10
- Authorship Attribution and Profiling 7
- Speech and dialogue systems 5
-
- Swearing, Euphemism, Multilingualism 4
- Co-authors
- Anna Grau Schmidt (2 shared papers)Josef Ruppenhofer (30 shared papers)Dietrich Klakow (27 shared papers)Melanie Siegel (2 shared papers)Benjamin Roth (11 shared papers)Alexandra Balahur (2 shared papers)Andrés Montoyo (1 shared paper)Manfred Klenner (2 shared papers)
- Journals
- Language Resources and Evaluation (7 papers)Theory and applications of categories (5 papers)Natural Language Engineering (2 papers)Computational Linguistics (1 paper)Text REtrieval Conference (1 paper)
- Partner nations
- GermanyAustriaSwitzerland
In The Last Decade
Michael Wiegand
56 papers receiving 1.4k citations
Michael Wiegand's Hit Papers
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 1.5k
- Communication 255
- Information Systems 326
- Signal Processing 114
- Social Psychology 176
Countries citing papers authored by Michael Wiegand
This map shows the geographic impact of Michael Wiegand'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 Michael Wiegand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wiegand more than expected).
Fields of papers citing papers by Michael Wiegand
This network shows the impact of papers produced by Michael Wiegand. 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 Michael Wiegand. The network helps show where Michael Wiegand may publish in the future.
Co-authors
The 24 scholars most cited alongside Michael Wiegand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Survey on Hate Speech Detection using Natural Language Processing Hit paper breakdown → | 2017 | 727 |
| 2 | Overview of the GermEval 2018 Shared Task on the Identification of Offensive Language | 2019 | 157 |
| 3 | A survey on the role of negation in sentiment analysis | 2010 | 145 |
| 4 | 2018 | 89 | |
| 5 | 2019 | 80 | |
| 6 | 2013 | 35 | |
| 7 | Convolution Kernels for Opinion Holder Extraction | 2010 | 27 |
| 8 | 2021 | 21 | |
| 9 | 2012 | 18 | |
| 10 | 2014 | 17 | |
| 11 | Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments | 2021 | 16 |
| 12 | 2021 | 13 | |
| 13 | The Alyssa System at TREC QA 2007: Do We Need Blog06? | 2007 | 11 |
| 14 | 2016 | 11 | |
| 15 | Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction | 2012 | 10 |
| 16 | Effective Slot Filling Based on Shallow Distant Supervision Methods | 2014 | 10 |
| 17 | 2017 | 10 | |
| 18 | A Gold Standard for Relation Extraction in the Food Domain | 2012 | 9 |
| 19 | 2015 | 9 | |
| 20 | 2022 | 9 |
About Michael Wiegand
Michael Wiegand is a scholar working on Artificial Intelligence, Communication, Molecular Biology, Sociology and Political Science and Information Systems, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (39 papers), Natural Language Processing Techniques (30 papers), Sentiment Analysis and Opinion Mining (30 papers), Advanced Text Analysis Techniques (21 papers), Hate Speech and Cyberbullying Detection (10 papers), Authorship Attribution and Profiling (7 papers), Speech and dialogue systems (5 papers) and Swearing, Euphemism, Multilingualism (4 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Communication (255 citations), Information Systems (326 citations), Signal Processing (114 citations) and Social Psychology (176 citations). Michael Wiegand has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Anna Grau Schmidt, Josef Ruppenhofer, Dietrich Klakow, Melanie Siegel, Benjamin Roth, Alexandra Balahur, Andrés Montoyo, Manfred Klenner, Julian Risch and Anke Stoll. Their work appears in journals such as Language Resources and Evaluation, Theory and applications of categories, Natural Language Engineering, Computational Linguistics and Text REtrieval Conference.
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.