Andreas Hanselowski
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Hate Speech and Cyberbullying Detection
- Information Systems top 10%
- Spam and Phishing Detection
- Software Engineering Research
Papers in
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- Data Quality and Management 2
- Grey System Theory Applications 1
- Co-authors
- Iryna GurevychZile LiCláudia SchulzDaniil SorokinBenjamin SchillerHao ZhangChristian StabChristian M. Meyer
- Journals
- ACM SIGIR Forum (1 paper)Language Resources and Evaluation (1 paper)TUbilio (Technical University of Darmstadt) (2 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Andreas Hanselowski
7 papers receiving 226 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 212
- Information Systems 73
- Sociology and Political Science 101
- Communication 12
- General Social Sciences 5
Countries citing papers authored by Andreas Hanselowski
This map shows the geographic impact of Andreas Hanselowski'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 Andreas Hanselowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Hanselowski more than expected).
Fields of papers citing papers by Andreas Hanselowski
This network shows the impact of papers produced by Andreas Hanselowski. 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 Andreas Hanselowski. The network helps show where Andreas Hanselowski may publish in the future.
Co-authors
The 20 scholars most cited alongside Andreas Hanselowski, 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 | 2019 | 57 | |
| 2 | 2018 | 113 | |
| 3 | Beyond Generic Summarization: A Multi-faceted Hierarchical Summarization Corpus of Large Heterogeneous Data | 2018 | 3 |
| 4 | 2018 | 25 | |
| 5 | 2018 | 31 | |
| 6 | A Framework for Automated Fact-Checking for Real-Time Validation of Emerging Claims on the Web | 2017 | 1 |
| 7 | 2015 | 7 |
About Andreas Hanselowski
Andreas Hanselowski is a scholar working on Management Science and Operations Research, Human-Computer Interaction, Information Systems, Artificial Intelligence and Information Systems and Management, having authored 7 papers that have together received 237 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Software Engineering Research (3 papers), Misinformation and Its Impacts (2 papers), Data Quality and Management (2 papers), Advanced Text Analysis Techniques (1 paper), Natural Language Processing Techniques (1 paper), Grey System Theory Applications (1 paper) and Personal Information Management and User Behavior (1 paper). The work is most often cited by research in Artificial Intelligence (212 citations), Information Systems (73 citations), Sociology and Political Science (101 citations), Communication (12 citations) and General Social Sciences (5 citations). Andreas Hanselowski has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Iryna Gurevych, Zile Li, Cláudia Schulz, Daniil Sorokin, Benjamin Schiller, Hao Zhang, Christian Stab, Christian M. Meyer, Benjamin Schiller and Gregory Grefenstette. Their work appears in journals such as ACM SIGIR Forum, Language Resources and Evaluation and TUbilio (Technical University of Darmstadt).
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.