Daniela Gerz
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Speech and dialogue systems
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Sentiment Analysis and Opinion Mining
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- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 7
- Speech and dialogue systems 7
- Natural Language Processing Techniques 5
- Domain Adaptation and Few-Shot Learning 1
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- Categorization, perception, and language 1
- Co-authors
- Ivan Vulić (14 shared papers)Matthew Henderson (5 shared papers)Iñigo Casanueva (5 shared papers)Anna Korhonen (6 shared papers)Roi Reichart (4 shared papers)Felix Hill (2 shared papers)Tsung-Hsien Wen (5 shared papers)Nikola Mrkšić (5 shared papers)
- Journals
- Computational Linguistics (1 paper)Transactions of the Association for Computational Linguistics (1 paper)Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (1 paper)arXiv (Cornell University) (1 paper)Annual Meeting of the Association for Computational Linguistics (ACL) (4 papers)
- Partner nations
- United KingdomIsraelUnited States
In The Last Decade
Daniela Gerz
14 papers receiving 703 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 702
- Computer Vision and Pattern Recognition 34
- Information Systems 36
- Experimental and Cognitive Psychology 23
- Health Informatics 2
Countries citing papers authored by Daniela Gerz
This map shows the geographic impact of Daniela Gerz'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 Daniela Gerz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Gerz more than expected).
Fields of papers citing papers by Daniela Gerz
This network shows the impact of papers produced by Daniela Gerz. 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 Daniela Gerz. The network helps show where Daniela Gerz may publish in the future.
Co-authors
The 16 scholars most cited alongside Daniela Gerz, 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 | 2020 | 238 | |
| 2 | 2016 | 153 | |
| 3 | 2019 | 66 | |
| 4 | 2017 | 57 | |
| 5 | 2019 | 55 | |
| 6 | 2018 | 45 | |
| 7 | 2018 | 34 | |
| 8 | 2020 | 34 | |
| 9 | 2021 | 25 | |
| 10 | 2021 | 19 | |
| 11 | 2018 | 16 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 6 | |
| 14 | 2020 | 1 |
About Daniela Gerz
Daniela Gerz is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 14 papers that have together received 757 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Speech and dialogue systems (7 papers), Natural Language Processing Techniques (5 papers), Categorization, perception, and language (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Artificial Intelligence (702 citations), Computer Vision and Pattern Recognition (34 citations), Information Systems (36 citations), Experimental and Cognitive Psychology (23 citations) and Health Informatics (2 citations). Daniela Gerz has collaborated with scholars based in United Kingdom, Israel and United States. Frequent co-authors include Ivan Vulić, Matthew Henderson, Iñigo Casanueva, Anna Korhonen, Roi Reichart, Felix Hill, Tsung-Hsien Wen, Nikola Mrkšić, Pei-Hao Su and Paweł Budzianowski. Their work appears in journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), arXiv (Cornell University) and Annual Meeting of the Association for Computational Linguistics (ACL).
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.