Renata Pelissari
- Management Science and Operations Research top 5%
- Artificial Intelligence
- Control and Systems Engineering
- Statistics and Probability top 10%
- Computational Theory and Mathematics
- Co-authors
- Maria Célia de OliveiraSarah Ben AmorAndré Luís HellenoAhmet KandakoğluLeonardo Tomazeli DuarteSharfuddin Ahmed KhanSamuel Vieira ConceiçãoPaulo S. C. Alencar
- Topics
- Multi-Criteria Decision Making (8 papers)Fuzzy Systems and Optimization (4 papers)Optimization and Mathematical Programming (3 papers)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityStatistics, Probability and Uncertainty
- Journals
- European Journal of Operational ResearchExpert Systems with ApplicationsApplied Soft Computing
- Partner nations
- BrazilCanadaUnited Arab Emirates
In The Last Decade
Renata Pelissari
12 papers receiving 264 citations
Peers
Comparison fields: 5 of 69
- Management Science and Operations Research 180
- Artificial Intelligence 66
- Control and Systems Engineering 48
- Statistics and Probability 38
- Computational Theory and Mathematics 34
Countries citing papers authored by Renata Pelissari
This map shows the geographic impact of Renata Pelissari'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 Renata Pelissari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renata Pelissari more than expected).
Fields of papers citing papers by Renata Pelissari
This network shows the impact of papers produced by Renata Pelissari. 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 Renata Pelissari. The network helps show where Renata Pelissari may publish in the future.
Co-authorship network of co-authors of Renata Pelissari
This figure shows the co-authorship network connecting the top 25 collaborators of Renata Pelissari. A scholar is included among the top collaborators of Renata Pelissari 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 Renata Pelissari. Renata Pelissari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 13 | |
| 12 | 41 | |
| 13 | 107 | |
| 14 | 87 | |
| 15 | 3 |
About Renata Pelissari
Renata Pelissari is a scholar working on Management Science and Operations Research, Statistics and Probability and Management Information Systems, having authored 15 papers that have together received 279 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (8 papers), Fuzzy Systems and Optimization (4 papers) and Optimization and Mathematical Programming (3 papers). The work is most often cited by research in Management Science and Operations Research (180 citations), Statistics and Probability (38 citations) and Statistics, Probability and Uncertainty (17 citations). Renata Pelissari has collaborated with scholars based in Brazil, Canada and United Arab Emirates. Frequent co-authors include Maria Célia de Oliveira, Sarah Ben Amor, André Luís Helleno, Ahmet Kandakoğlu, Leonardo Tomazeli Duarte, Sharfuddin Ahmed Khan, Samuel Vieira Conceição, Paulo S. C. Alencar, Eduardo Marandola and Álvaro de Oliveira D’Antona. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Applied Soft Computing.
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.