Matthias Grabmair

489 total citations
28 papers, 195 citations indexed

About

Matthias Grabmair is a scholar working on Political Science and International Relations, Artificial Intelligence and Law. According to data from OpenAlex, Matthias Grabmair has authored 28 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Political Science and International Relations, 15 papers in Artificial Intelligence and 11 papers in Law. Recurrent topics in Matthias Grabmair's work include Artificial Intelligence in Law (16 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). Matthias Grabmair is often cited by papers focused on Artificial Intelligence in Law (16 papers), Topic Modeling (6 papers) and Natural Language Processing Techniques (6 papers). Matthias Grabmair collaborates with scholars based in Germany, United States and Switzerland. Matthias Grabmair's co-authors include Kevin D. Ashley, Vern R. Walker, Serena Villata, Livio Robaldo, Adam Wyner, Jaromír Šavelka, Eric Nyberg, Siyuan Wang, Chen Wang and Shanshan Xu and has published in prestigious journals such as IEEE Pervasive Computing, Artificial Intelligence and Law and Figshare.

In The Last Decade

Matthias Grabmair

24 papers receiving 168 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Grabmair Germany 8 144 125 42 31 17 28 195
Dirk Hartung United States 6 99 0.7× 121 1.0× 47 1.1× 25 0.8× 16 0.9× 16 188
Abhik Jana India 5 112 0.8× 91 0.7× 39 0.9× 14 0.5× 9 0.5× 16 164
Llio Humphreys Italy 8 115 0.8× 85 0.7× 24 0.6× 6 0.2× 45 2.6× 16 179
Zikun Hu China 3 106 0.7× 72 0.6× 25 0.6× 23 0.7× 15 0.9× 7 139
Michał Araszkiewicz Poland 8 85 0.6× 65 0.5× 35 0.8× 17 0.5× 9 0.5× 31 144
Masha Medvedeva Netherlands 6 132 0.9× 197 1.6× 122 2.9× 78 2.5× 24 1.4× 15 281
Haoxi Zhong China 4 206 1.4× 271 2.2× 119 2.8× 85 2.7× 19 1.1× 5 324
Dimitrios Tsarapatsanis United Kingdom 3 154 1.1× 333 2.7× 205 4.9× 144 4.6× 18 1.1× 9 412
Terence Anderson United States 5 92 0.6× 67 0.5× 71 1.7× 31 1.0× 18 1.1× 10 185
Danièle Bourcier France 7 26 0.2× 32 0.3× 17 0.4× 14 0.5× 15 0.9× 26 119

Countries citing papers authored by Matthias Grabmair

Since Specialization
Citations

This map shows the geographic impact of Matthias Grabmair'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 Matthias Grabmair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Grabmair more than expected).

Fields of papers citing papers by Matthias Grabmair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthias Grabmair. 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 Matthias Grabmair. The network helps show where Matthias Grabmair may publish in the future.

Co-authorship network of co-authors of Matthias Grabmair

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Grabmair. A scholar is included among the top collaborators of Matthias Grabmair 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 Matthias Grabmair. Matthias Grabmair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
5.
Grabmair, Matthias, et al.. (2024). Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases. 3743–3750. 1 indexed citations
6.
Grabmair, Matthias, et al.. (2024). PrivaT5: A Generative Language Model for Privacy Policies. 159–169.
7.
Ghosh, Saptarshi, et al.. (2024). Beyond Borders: Investigating Cross-Jurisdiction Transfer in Legal Case Summarization. 4136–4150. 1 indexed citations
8.
Ashley, Kevin D., et al.. (2024). Towards Supporting Legal Argumentation with NLP: Is More Data Really All You Need?. 404–421. 1 indexed citations
10.
11.
Tamò‐Larrieux, Aurelia, Simon Mayer, Kevin D. Ashley, et al.. (2023). Pervasive Computational Law. IEEE Pervasive Computing. 22(3). 48–51. 1 indexed citations
14.
Agarwal, Abhishek, Shanshan Xu, & Matthias Grabmair. (2022). Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance. 1857–1872. 7 indexed citations
15.
Governatori, Guido, Trevor Bench‐Capon, Bart Verheij, et al.. (2022). Thirty years of Artificial Intelligence and Law: the first decade. Artificial Intelligence and Law. 30(4). 481–519. 10 indexed citations
16.
Ashley, Kevin D., Jaromír Šavelka, & Matthias Grabmair. (2021). A Law School Course in Applied Legal Analytics and AI. Figshare. 37(1). 134–174. 2 indexed citations
18.
Grabmair, Matthias, et al.. (2015). Introducing LUIMA. 69–78. 25 indexed citations
19.
Grabmair, Matthias & Kevin D. Ashley. (2011). Facilitating case comparison using value judgments and intermediate legal concepts. 161–170. 25 indexed citations
20.
Grabmair, Matthias & Kevin D. Ashley. (2005). Towards Modeling Systematic Interpretation of Codified Law. 107–108. 2 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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