Stefanie Brüninghaus
Impact in
-
- Artificial Intelligence in Law
- Artificial Intelligence top 5%
- Multi-Agent Systems and Negotiation
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
Papers in
-
- Multi-Agent Systems and Negotiation 6
- Natural Language Processing Techniques 5
- Topic Modeling 4
- AI-based Problem Solving and Planning 2
- Advanced Text Analysis Techniques 1
- Semantic Web and Ontologies 1
-
- Artificial Intelligence in Law 7
- Journals
- The Knowledge Engineering Review (1 paper)Artificial Intelligence and Law (1 paper)National Conference on Artificial Intelligence (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Stefanie Brüninghaus
10 papers receiving 318 citations
Peers
Comparison fields: 5 of 39
- Political Science and International Relations 206
- Artificial Intelligence 276
- Law 76
- Information Systems 55
- Management Information Systems 17
Countries citing papers authored by Stefanie Brüninghaus
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
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-authors
The 2 scholars most cited alongside Stefanie Brüninghaus, 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 | 2009 | 93 | |
| 2 | 2003 | 86 | |
| 3 | 2005 | 46 | |
| 4 | 2001 | 42 | |
| 5 | 2005 | 25 | |
| 6 | 1999 | 25 | |
| 7 | 1997 | 22 | |
| 8 | Progress in textual case-based reasoning: predicting the outcome of legal cases from text | 2006 | 5 |
| 9 | DANIEL: integrating case-based and rule-based reasoning in law | 1994 | 3 |
| 10 | 1998 | 1 |
About Stefanie Brüninghaus
Stefanie Brüninghaus is a scholar working on Artificial Intelligence, Political Science and International Relations, Information Systems, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 348 indexed citations. Recurring topics across this work include Artificial Intelligence in Law (7 papers), Multi-Agent Systems and Negotiation (6 papers), Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers), Software Engineering Research (3 papers), AI-based Problem Solving and Planning (2 papers), Advanced Text Analysis Techniques (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Political Science and International Relations (206 citations), Artificial Intelligence (276 citations), Law (76 citations), Information Systems (55 citations) and Management Information Systems (17 citations). Stefanie Brüninghaus has collaborated with scholars based in United States and Germany. Frequent co-authors include Kevin D. Ashley and Rosina O. Weber. Their work appears in journals such as The Knowledge Engineering Review, Artificial Intelligence and Law and National Conference on Artificial Intelligence.
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.