Carolin Lawrence

678 total citations
16 papers, 48 citations indexed

About

Carolin Lawrence is a scholar working on Artificial Intelligence, Molecular Biology and Management Information Systems. According to data from OpenAlex, Carolin Lawrence has authored 16 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Management Information Systems. Recurrent topics in Carolin Lawrence's work include Topic Modeling (9 papers), Advanced Graph Neural Networks (6 papers) and Natural Language Processing Techniques (5 papers). Carolin Lawrence is often cited by papers focused on Topic Modeling (9 papers), Advanced Graph Neural Networks (6 papers) and Natural Language Processing Techniques (5 papers). Carolin Lawrence collaborates with scholars based in Germany, United Kingdom and United States. Carolin Lawrence's co-authors include Kiril Gashteovski, Stefan Riezler, Graham Neubig, Mathias Niepert, Tongshuang Wu, Bhushan Kotnis, Naoaki Okazaki, Makoto Takamoto, Goran Glavaš and Ammar Shaker and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Transactions of the Association for Computational Linguistics and University of Birmingham Research Portal (University of Birmingham).

In The Last Decade

Carolin Lawrence

9 papers receiving 44 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Carolin Lawrence Germany	4	42	7	5	4	3	16	48
Guy Rosin Israel	4	58 1.4×	5 0.7×	4 0.8×	2 0.5×	2 0.7×	7	70
Anna Missilä Finland	4	103 2.5×	4 0.6×	5 1.0×	5 1.3×	4 1.3×	5	109
Xiang Lorraine Li United States	3	55 1.3×	9 1.3×	11 2.2×	3 0.8×	3 1.0×	7	63
Agata Savary France	5	76 1.8×	6 0.9×	4 0.8×	3 0.8×	5 1.7×	24	84
Anna Potapenko Russia	3	57 1.4×	14 2.0×	4 0.8×	3 0.8×	3 1.0×	4	80
Ashutosh Adhikari Algeria	3	72 1.7×	9 1.3×	8 1.6×	2 0.5×	4 1.3×	3	81
Sebastin Santy United States	5	49 1.2×	8 1.1×	9 1.8×	3 0.8×	3 1.0×	8	64
Eric Mitchell United States	5	49 1.2×	7 1.0×	11 2.2×	6 1.5×	3 1.0×	11	77
Clemencia Siro Netherlands	3	25 0.6×	8 1.1×	4 0.8×	3 0.8×		7	32
Livio Baldini Soares United States	3	65 1.5×	5 0.7×	13 2.6×	4 1.0×	2 0.7×	8	67

Countries citing papers authored by Carolin Lawrence

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Carolin Lawrence

This figure shows the co-authorship network connecting the top 25 collaborators of Carolin Lawrence. A scholar is included among the top collaborators of Carolin Lawrence based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carolin Lawrence. Carolin Lawrence is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Yue, Xiang, Yizhong Wang, Kiril Gashteovski, et al.. (2025). Evaluating Language Models as Synthetic Data Generators. 6385–6403.

Rose, D.K., et al.. (2025). MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis. 13803–13826.

Gashteovski, Kiril, et al.. (2024). Large Language Models Enable Few-Shot Clustering. Transactions of the Association for Computational Linguistics. 12. 321–333. 17 indexed citations

Zhao, Xu, et al.. (2024). Generating and Evaluating Plausible Explanations for Knowledge Graph Completion. 12106–12118. 1 indexed citations

Siracusano, Giuseppe, et al.. (2024). AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents. 185–193.

Lawrence, Carolin, et al.. (2023). Walking a Tightrope – Evaluating Large Language Models in High-Risk Domains. 99–111. 1 indexed citations

Gashteovski, Kiril, et al.. (2023). Linking Surface Facts to Large-Scale Knowledge Graphs. Lirias (KU Leuven). 7189–7207. 1 indexed citations

Shaker, Ammar & Carolin Lawrence. (2023). Multi-Source Survival Domain Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9752–9762.

Gashteovski, Kiril, Pengfei Liu, Christopher Malon, et al.. (2022). KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. 338–350. 2 indexed citations

10.

Gashteovski, Kiril, et al.. (2022). BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4472–4490. 5 indexed citations

11.

Zhao, Xu, et al.. (2022). Uncertainty Propagation in Node Classification. arXiv (Cornell University). 1275–1280.

12.

Lawrence, Carolin, et al.. (2022). State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7739–7750. 2 indexed citations

13.

Kotnis, Bhushan, Kiril Gashteovski, Ammar Shaker, et al.. (2022). MILIE: Modular & Iterative Multilingual Open Information Extraction. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6939–6950. 6 indexed citations

14.

Lawrence, Carolin, et al.. (2021). Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction. 3 indexed citations

15.

Serra, Giuseppe, et al.. (2021). Interpreting Node Embedding with Text-labeled Graphs. University of Birmingham Research Portal (University of Birmingham). abs 2010 5516. 1–8.

16.

Lawrence, Carolin & Stefan Riezler. (2016). NLmaps: A Natural Language Interface to Query OpenStreetMap.. International Conference on Computational Linguistics. 6–10. 10 indexed citations

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.

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