Stefania Racioppa
- Artificial Intelligence top 10%
- Information Systems top 10%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Language and Linguistics
- Co-authors
- Philipp CimianoPaul BuitelaarAnette FrankMatthias HärtungMelanie SiegelThierry DeclerckMalte KieselMichael Sintek
- Topics
- Natural Language Processing Techniques (8 papers)Semantic Web and Ontologies (7 papers)Topic Modeling (4 papers)
- Journals
- International Journal of Human-Computer StudiesLanguage Resources and EvaluationSpiral (Imperial College London)
- Partner nations
- GermanyNetherlandsItaly
In The Last Decade
Stefania Racioppa
11 papers receiving 119 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 118
- Information Systems 53
- Molecular Biology 16
- Computer Vision and Pattern Recognition 15
- Language and Linguistics 11
Countries citing papers authored by Stefania Racioppa
This map shows the geographic impact of Stefania Racioppa'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 Stefania Racioppa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefania Racioppa more than expected).
Fields of papers citing papers by Stefania Racioppa
This network shows the impact of papers produced by Stefania Racioppa. 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 Stefania Racioppa. The network helps show where Stefania Racioppa may publish in the future.
Co-authorship network of co-authors of Stefania Racioppa
This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Racioppa. A scholar is included among the top collaborators of Stefania Racioppa 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 Stefania Racioppa. Stefania Racioppa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | Enriching Open Multilingual Wordnets with Morphological Features. | 2 |
| 4 | 2 | |
| 5 | Ontology engineering for the design and implementation of personal pervasive lifestyle support | 1 |
| 6 | 1 | |
| 7 | A Conversational System for Multi-Session Child-Robot Interaction with Several Games | 1 |
| 8 | 56 | |
| 9 | Ontology-based Information Extraction with SOBA | 33 |
| 10 | SOBA: SmartWeb Ontology-based Annotation | 7 |
| 11 | LingInfo: Design and Applications of a Model for the Integration of Linguistic Information in Ontologies | 29 |
About Stefania Racioppa
Stefania Racioppa is a scholar working on Artificial Intelligence, Social Psychology and Information Systems, having authored 11 papers that have together received 137 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Semantic Web and Ontologies (7 papers) and Topic Modeling (4 papers). The work is most often cited by research in Artificial Intelligence (118 citations), Information Systems (53 citations) and Language and Linguistics (11 citations). Stefania Racioppa has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Philipp Cimiano, Paul Buitelaar, Anette Frank, Matthias Härtung, Melanie Siegel, Thierry Declerck, Malte Kiesel, Michael Sintek, Robert Porzel and Daniel Sonntag. Their work appears in journals such as International Journal of Human-Computer Studies, Language Resources and Evaluation and Spiral (Imperial College London).
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.