Filipe J. Marques
- Statistics and Probability top 2%
- Artificial Intelligence
- Finance
- Management Science and Operations Research
- Statistics, Probability and Uncertainty top 10%
- Co-authors
- Carlos A. CoelhoBarry C. ArnoldMiguel de CarvalhoIndranil GhoshRegina BispoSubrata ChakrabortyFrank P. A. CoolenAntónio Grilo
- Topics
- Statistical Distribution Estimation and Applications (21 papers)Advanced Statistical Methods and Models (19 papers)Bayesian Methods and Mixture Models (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Environmental Research and Public HealthApplied Mathematics and Computation
- Partner nations
- PortugalBrazilUnited States
In The Last Decade
Filipe J. Marques
44 papers receiving 215 citations
Peers
Comparison fields: 5 of 70
- Statistics and Probability 146
- Artificial Intelligence 71
- Finance 28
- Management Science and Operations Research 25
- Statistics, Probability and Uncertainty 19
Countries citing papers authored by Filipe J. Marques
This map shows the geographic impact of Filipe J. Marques'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 Filipe J. Marques with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filipe J. Marques more than expected).
Fields of papers citing papers by Filipe J. Marques
This network shows the impact of papers produced by Filipe J. Marques. 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 Filipe J. Marques. The network helps show where Filipe J. Marques may publish in the future.
Co-authorship network of co-authors of Filipe J. Marques
This figure shows the co-authorship network connecting the top 25 collaborators of Filipe J. Marques. A scholar is included among the top collaborators of Filipe J. Marques 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 Filipe J. Marques. Filipe J. Marques is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 10 | |
| 18 | 24 | |
| 19 | 1 | |
| 20 | 11 |
About Filipe J. Marques
Filipe J. Marques is a scholar working on Statistics and Probability, Artificial Intelligence and Finance, having authored 56 papers that have together received 229 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (21 papers), Advanced Statistical Methods and Models (19 papers) and Bayesian Methods and Mixture Models (18 papers). The work is most often cited by research in Statistics and Probability (146 citations), Finance (28 citations) and Statistics, Probability and Uncertainty (19 citations). Filipe J. Marques has collaborated with scholars based in Portugal, Brazil and United States. Frequent co-authors include Carlos A. Coelho, Barry C. Arnold, Miguel de Carvalho, Indranil Ghosh, Regina Bispo, Subrata Chakraborty, Frank P. A. Coolen, António Grilo, Tahani Coolen‐Maturi and Samuel Manda. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Applied Mathematics and Computation.
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.