Lea Frermann
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Sentiment Analysis and Opinion Mining
- Hate Speech and Cyberbullying Detection
- Cultural Studies top 5%
- Language and cultural evolution
Papers in
-
- Topic Modeling 15
- Natural Language Processing Techniques 14
- Hate Speech and Cyberbullying Detection 3
- Speech and dialogue systems 3
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- Multimodal Machine Learning Applications 6
- Co-authors
- Mirella Lapata (5 shared papers)Alexandre Klementiev (1 shared paper)Ivan Titov (1 shared paper)Manfred Pinkal (1 shared paper)Trevor Cohn (10 shared papers)György Szarvas (1 shared paper)Anders Søgaard (1 shared paper)Maria Barrett (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)Energy Research & Social Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)IEEE Access (1 paper)Cognitive Science (1 paper)
- Partner nations
- AustraliaUnited Arab EmiratesUnited Kingdom
In The Last Decade
Lea Frermann
30 papers receiving 223 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 184
- Cultural Studies 45
- General Social Sciences 9
- Safety Research 13
- Health Informatics 2
Countries citing papers authored by Lea Frermann
This map shows the geographic impact of Lea Frermann'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 Lea Frermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lea Frermann more than expected).
Fields of papers citing papers by Lea Frermann
This network shows the impact of papers produced by Lea Frermann. 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 Lea Frermann. The network helps show where Lea Frermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Lea Frermann, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 74 | |
| 2 | 2014 | 31 | |
| 3 | 2019 | 28 | |
| 4 | 2015 | 13 | |
| 5 | 2018 | 12 | |
| 6 | The Conference on Empirical Methods on Natural Language Processing (EMNLP) 2017 | 2017 | 12 |
| 7 | 2022 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2023 | 3 | |
| 14 | Cross-lingual Parse Disambiguation based on Semantic Correspondence | 2012 | 3 |
| 15 | 2014 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Lea Frermann
Lea Frermann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, General Social Sciences, Sociology and Political Science and Cultural Studies, having authored 35 papers that have together received 240 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (14 papers), Multimodal Machine Learning Applications (6 papers), Computational and Text Analysis Methods (5 papers), Language and cultural evolution (4 papers), Hate Speech and Cyberbullying Detection (3 papers), Speech and dialogue systems (3 papers) and Ethics and Social Impacts of AI (2 papers). The work is most often cited by research in Artificial Intelligence (184 citations), Cultural Studies (45 citations), General Social Sciences (9 citations), Safety Research (13 citations) and Health Informatics (2 citations). Lea Frermann has collaborated with scholars based in Australia, United Arab Emirates and United Kingdom. Frequent co-authors include Mirella Lapata, Alexandre Klementiev, Ivan Titov, Manfred Pinkal, Trevor Cohn, György Szarvas, Anders Søgaard, Maria Barrett, Timothy Baldwin and Gosia Mikołajczak. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Energy Research & Social Science, Proceedings of the National Academy of Sciences, IEEE Access and Cognitive Science.
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.