Sandra Sandri
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 10%
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Didier DuboisJacques WainerLluı́s GodoTeresa AlsinetGuillermo Ricardo SimariCarlos Iván ChesñevarEstevão EsmiIsabela Drummond
- Topics
- Fuzzy Logic and Control Systems (9 papers)Logic, Reasoning, and Knowledge (6 papers)Advanced Algebra and Logic (6 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputational Theory and Mathematics
In The Last Decade
Sandra Sandri
43 papers receiving 268 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 141
- Computational Theory and Mathematics 48
- Management Science and Operations Research 41
- Computer Networks and Communications 36
- Computer Vision and Pattern Recognition 24
Countries citing papers authored by Sandra Sandri
This map shows the geographic impact of Sandra Sandri'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 Sandra Sandri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Sandri more than expected).
Fields of papers citing papers by Sandra Sandri
This network shows the impact of papers produced by Sandra Sandri. 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 Sandra Sandri. The network helps show where Sandra Sandri may publish in the future.
Co-authorship network of co-authors of Sandra Sandri
This figure shows the co-authorship network connecting the top 25 collaborators of Sandra Sandri. A scholar is included among the top collaborators of Sandra Sandri 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 Sandra Sandri. Sandra Sandri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | Scenario Analysis for Image Classification using Multi-objective Optimization | 2 |
| 7 | 2 | |
| 8 | 27 | |
| 9 | A clustering-based fuzzy classifier | 2 |
| 10 | 1 | |
| 11 | 3 | |
| 12 | FUZZY COVERING THEORY: AN ALTERNATIVE APPROACH FOR DIAGNOSTIC PROBLEM-SOLVING | 1 |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 18 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 24 | |
| 20 | 1 |
About Sandra Sandri
Sandra Sandri is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research, having authored 47 papers that have together received 290 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (9 papers), Logic, Reasoning, and Knowledge (6 papers) and Advanced Algebra and Logic (6 papers). The work is most often cited by research in Artificial Intelligence (141 citations), Management Science and Operations Research (41 citations) and Computational Theory and Mathematics (48 citations). Sandra Sandri has collaborated with scholars based in Brazil, Spain and France. Frequent co-authors include Didier Dubois, Jacques Wainer, Lluı́s Godo, Teresa Alsinet, Guillermo Ricardo Simari, Carlos Iván Chesñevar, Estevão Esmi, Isabela Drummond, Elbert E. N. Macau and Joni da Silva Fraga. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.
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.