Stefanie Brüninghaus

751 total citations
10 papers, 348 citations indexed

About

Stefanie Brüninghaus is a scholar working on Artificial Intelligence, Political Science and International Relations and Information Systems. According to data from OpenAlex, Stefanie Brüninghaus has authored 10 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Political Science and International Relations and 4 papers in Information Systems. Recurrent topics in Stefanie Brüninghaus's work include Artificial Intelligence in Law (7 papers), Multi-Agent Systems and Negotiation (6 papers) and Natural Language Processing Techniques (5 papers). Stefanie Brüninghaus is often cited by papers focused on Artificial Intelligence in Law (7 papers), Multi-Agent Systems and Negotiation (6 papers) and Natural Language Processing Techniques (5 papers). Stefanie Brüninghaus collaborates with scholars based in United States and Germany. Stefanie Brüninghaus's co-authors include Kevin D. Ashley and Rosina O. Weber and has published in prestigious journals such as The Knowledge Engineering Review, Artificial Intelligence and Law and National Conference on Artificial Intelligence.

In The Last Decade

Stefanie Brüninghaus

10 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefanie Brüninghaus United States	7	276	206	76	55	51	10	348
E. L. Rissland United States	8	274 1.0×	171 0.8×	45 0.6×	36 0.7×	53 1.0×	12	342
Frank Kriwaczek United Kingdom	4	257 0.9×	131 0.6×	42 0.6×	58 1.1×	29 0.6×	8	358
Hans Cory United Kingdom	5	236 0.9×	135 0.7×	40 0.5×	54 1.0×	29 0.6×	12	368
L. Thorne McCarty United States	13	518 1.9×	220 1.1×	70 0.9×	48 0.9×	60 1.2×	28	627
Erich Schweighofer Austria	9	152 0.6×	85 0.4×	29 0.4×	40 0.7×	5 0.1×	38	217
Jack G. Conrad United States	11	244 0.9×	90 0.4×	25 0.3×	121 2.2×	12 0.2×	29	342
Chaojun Xiao China	8	408 1.5×	318 1.5×	134 1.8×	58 1.1×	85 1.7×	22	551
Yunqiu Shao China	9	169 0.6×	148 0.7×	32 0.4×	57 1.0×	11 0.2×	21	264
Lisa Ferro United States	10	301 1.1×	75 0.4×	32 0.4×	59 1.1×	24 0.5×	30	391
Jason R. Baron United States	9	176 0.6×	66 0.3×	18 0.2×	142 2.6×	5 0.1×	20	278

Countries citing papers authored by Stefanie Brüninghaus

Since Specialization

Citations

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

Fields of papers citing papers by Stefanie Brüninghaus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefanie Brüninghaus

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

All Works

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10 of 10 papers shown

1.

Ashley, Kevin D. & Stefanie Brüninghaus. (2009). Automatically classifying case texts and predicting outcomes. Artificial Intelligence and Law. 17(2). 125–165. 93 indexed citations

2.

Brüninghaus, Stefanie & Kevin D. Ashley. (2006). Progress in textual case-based reasoning: predicting the outcome of legal cases from text. National Conference on Artificial Intelligence. 1577–1580. 5 indexed citations

3.

Weber, Rosina O., Kevin D. Ashley, & Stefanie Brüninghaus. (2005). Textual case-based reasoning. The Knowledge Engineering Review. 20(3). 255–260. 46 indexed citations

4.

Brüninghaus, Stefanie & Kevin D. Ashley. (2005). Generating legal arguments and predictions from case texts. 65–74. 25 indexed citations

5.

Brüninghaus, Stefanie & Kevin D. Ashley. (2003). Predicting outcomes of case based legal arguments. 233–233. 86 indexed citations

6.

Brüninghaus, Stefanie & Kevin D. Ashley. (2001). Improving the representation of legal case texts with information extraction methods. 42–51. 42 indexed citations

7.

Brüninghaus, Stefanie & Kevin D. Ashley. (1999). Toward adding knowledge to learning algorithms for indexing legal cases. 9–17. 25 indexed citations

8.

Ashley, Kevin D. & Stefanie Brüninghaus. (1998). Developing Mapping and Evaluation Techniques for Textual Case-Based Reasoning. 398(10313). 1801–1802. 1 indexed citations

9.

Brüninghaus, Stefanie & Kevin D. Ashley. (1997). Finding factors. 123–131. 22 indexed citations

10.

Brüninghaus, Stefanie. (1994). DANIEL: integrating case-based and rule-based reasoning in law. National Conference on Artificial Intelligence. 1428–1428. 3 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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