Xenia Fiorentini
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- Manufacturing Process and Optimization 4
- Management Information Systems top 10%
- Business Process Modeling and Analysis 3
- Artificial Intelligence top 10%
- Semantic Web and Ontologies 9
- Natural Language Processing Techniques 2
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- Model-Driven Software Engineering Techniques 3
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- Service-Oriented Architecture and Web Services 5
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- Design Education and Practice 2
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- Data Quality and Management 2
- Co-authors
- Ram D. SriramSudarsan RachuriAnantha NarayananRaphaël BarbauSylvère KrimaSebti FoufouHyo-Won SuhSteven J. Fenves
- Cited by
- Industrial and Manufacturing EngineeringManagement of Technology and InnovationManagement Information Systems
- Partner nations
- United StatesFranceSouth Korea
In The Last Decade
Xenia Fiorentini
15 papers receiving 270 citations
Peers
Comparison fields: 5 of 39
- Industrial and Manufacturing Engineering 185
- Management of Technology and Innovation 54
- Management Information Systems 58
- Artificial Intelligence 119
- Software 12
Countries citing papers authored by Xenia Fiorentini
This map shows the geographic impact of Xenia Fiorentini'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 Xenia Fiorentini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xenia Fiorentini more than expected).
Fields of papers citing papers by Xenia Fiorentini
This network shows the impact of papers produced by Xenia Fiorentini. 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 Xenia Fiorentini. The network helps show where Xenia Fiorentini may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Xenia Fiorentini, 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 | 2014 | 15 | |
| 2 | Modeling nuclear power plants engineering data using ISO 15926 | 2013 | 2 |
| 3 | A Semantic Product Modeling Framework and Its Application for Behavior Evaluation | 2012 | 3 |
| 4 | 2012 | 173 | |
| 5 | 2011 | 25 | |
| 6 | OntoSTEP: Enriching Product Model Data Using Ontologies | NIST | 2010 | 2 |
| 7 | 2010 | 24 | |
| 8 | 2010 | 3 | |
| 9 | 2009 | 9 | |
| 10 | 2009 | 2 | |
| 11 | OntoSTEP: OWL-DL Ontology for STEP | NIST | 2009 | 1 |
| 12 | 2009 | 4 | |
| 13 | 2009 | 3 | |
| 14 | An Evaluation of Description Logic for the Development of Product Models | NIST | 2008 | 1 |
| 15 | 2008 | 13 |
About Xenia Fiorentini
Xenia Fiorentini is a scholar working on Software, Management Information Systems and Industrial and Manufacturing Engineering, having authored 15 papers that have together received 280 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Service-Oriented Architecture and Web Services (5 papers), Manufacturing Process and Optimization (4 papers), Model-Driven Software Engineering Techniques (3 papers), Business Process Modeling and Analysis (3 papers), Design Education and Practice (2 papers), Data Quality and Management (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (185 citations), Management of Technology and Innovation (54 citations) and Management Information Systems (58 citations). Xenia Fiorentini has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Ram D. Sriram, Sudarsan Rachuri, Anantha Narayanan, Raphaël Barbau, Sylvère Krima, Sebti Foufou, Hyo-Won Suh, Steven J. Fenves, Jae Hoon Lee and Conrad Bock.
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.