Patricia Victor
- Artificial Intelligence top 5%
- Information Systems top 2%
- Sociology and Political Science top 10%
- Management Science and Operations Research top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Chris CornelisMartine De CockAnkur TeredesaiEnrique Herrera‐ViedmaPaulo Pinheiro da SilvaNele VerbiestGeert‐Jan HoubenSteven Schockaert
- Topics
- Access Control and Trust (12 papers)Recommender Systems and Techniques (11 papers)Advanced Graph Neural Networks (7 papers)
- Cited by
- Information SystemsManagement Science and Operations ResearchStatistical and Nonlinear Physics
- Partner nations
- BelgiumUnited StatesSpain
In The Last Decade
Patricia Victor
17 papers receiving 511 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 290
- Information Systems 278
- Sociology and Political Science 163
- Management Science and Operations Research 133
- Computer Networks and Communications 128
Countries citing papers authored by Patricia Victor
This map shows the geographic impact of Patricia Victor'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 Patricia Victor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Victor more than expected).
Fields of papers citing papers by Patricia Victor
This network shows the impact of papers produced by Patricia Victor. 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 Patricia Victor. The network helps show where Patricia Victor may publish in the future.
Co-authorship network of co-authors of Patricia Victor
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Victor. A scholar is included among the top collaborators of Patricia Victor 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 Patricia Victor. Patricia Victor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 30 | |
| 3 | 8 | |
| 4 | 67 | |
| 5 | 118 | |
| 6 | 2 | |
| 7 | ORDERED WEIGHTED AVERAGING APPROACHES FOR AGGREGATING GRADUAL TRUST AND DISTRUST | 4 |
| 8 | Trust- and Distrust-Based Recommendations for Controversial Reviews | 18 |
| 9 | Aggregation of Gradual Trust and Distrust | 3 |
| 10 | 22 | |
| 11 | 149 | |
| 12 | 13 | |
| 13 | 21 | |
| 14 | 34 | |
| 15 | Reflections on modelling vagueness in description logics | 1 |
| 16 | 7 | |
| 17 | Towards a Provenance-Preserving Trust Model in Agent Networks | 9 |
About Patricia Victor
Patricia Victor is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science, having authored 17 papers that have together received 539 indexed citations. Recurring topics across this work include Access Control and Trust (12 papers), Recommender Systems and Techniques (11 papers) and Advanced Graph Neural Networks (7 papers). The work is most often cited by research in Information Systems (278 citations), Management Science and Operations Research (133 citations) and Statistical and Nonlinear Physics (116 citations). Patricia Victor has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include Chris Cornelis, Martine De Cock, Ankur Teredesai, Enrique Herrera‐Viedma, Paulo Pinheiro da Silva, Nele Verbiest, Geert‐Jan Houben, Steven Schockaert and Etienne E. Kerre. Their work appears in journals such as Fuzzy Sets and Systems, IEEE Intelligent Systems and ACM Transactions on the Web.
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.