Carolin Lawrence
Impact in
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- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Adversarial Robustness in Machine Learning
Papers in
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- Topic Modeling 11
- Advanced Graph Neural Networks 9
- Natural Language Processing Techniques 5
- Semantic Web and Ontologies 4
- Domain Adaptation and Few-Shot Learning 3
- Adversarial Robustness in Machine Learning 2
- Machine Learning in Healthcare 2
- Co-authors
- Mathias Niepert (7 shared papers)Kiril Gashteovski (10 shared papers)Bhushan Kotnis (3 shared papers)Tongshuang Wu (1 shared paper)Stefan Riezler (1 shared paper)Graham Neubig (3 shared papers)Timo Sztyler (3 shared papers)Makoto Takamoto (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Lirias (KU Leuven) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)International Conference on Computational Linguistics (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Carolin Lawrence
14 papers receiving 72 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 60
- Health Informatics 1
- Information Systems 9
- Computer Vision and Pattern Recognition 7
- Statistical and Nonlinear Physics 4
Countries citing papers authored by Carolin Lawrence
This map shows the geographic impact of Carolin Lawrence'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 Carolin Lawrence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolin Lawrence more than expected).
Fields of papers citing papers by Carolin Lawrence
This network shows the impact of papers produced by Carolin Lawrence. 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 Carolin Lawrence. The network helps show where Carolin Lawrence may publish in the future.
Co-authors
The 25 scholars most cited alongside Carolin Lawrence, 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 | 2024 | 23 | |
| 2 | 2021 | 14 | |
| 3 | NLmaps: A Natural Language Interface to Query OpenStreetMap. | 2016 | 10 |
| 4 | 2022 | 6 | |
| 5 | 2021 | 5 | |
| 6 | 2022 | 5 | |
| 7 | Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction | 2021 | 3 |
| 8 | 2022 | 2 | |
| 9 | 2022 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2023 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2022 | 0 | |
| 18 | 2021 | 0 | |
| 19 | 2024 | 0 |
About Carolin Lawrence
Carolin Lawrence is a scholar working on Artificial Intelligence, Molecular Biology, Management Information Systems, Health Informatics and Computational Theory and Mathematics, having authored 19 papers that have together received 75 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Advanced Graph Neural Networks (9 papers), Natural Language Processing Techniques (5 papers), Semantic Web and Ontologies (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Adversarial Robustness in Machine Learning (2 papers), Machine Learning in Healthcare (2 papers) and Ferroelectric and Negative Capacitance Devices (1 paper). The work is most often cited by research in Artificial Intelligence (60 citations), Health Informatics (1 citation), Information Systems (9 citations), Computer Vision and Pattern Recognition (7 citations) and Statistical and Nonlinear Physics (4 citations). Carolin Lawrence has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Mathias Niepert, Kiril Gashteovski, Bhushan Kotnis, Tongshuang Wu, Stefan Riezler, Graham Neubig, Timo Sztyler, Makoto Takamoto, Naoaki Okazaki and Goran Glavaš. Their work appears in journals such as Transactions of the Association for Computational Linguistics, IEEE Transactions on Pattern Analysis and Machine Intelligence, Lirias (KU Leuven), 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.