Tommaso Lando
- Statistics, Probability and Uncertainty top 5%
- Statistics and Probability top 5%
- Finance top 10%
- Management Science and Operations Research
- Economics and Econometrics
- Co-authors
- Sergio Ortobelli LozzaPaulo Eduardo OliveiraTomáš TichýAlmira BiglovaJiří FraněkPaulo Eduardo de Oliveira
- Topics
- Statistical Distribution Estimation and Applications (13 papers)Advanced Statistical Methods and Models (9 papers)Financial Risk and Volatility Modeling (9 papers)
In The Last Decade
Tommaso Lando
34 papers receiving 245 citations
Peers
Comparison fields: 5 of 95
- Statistics, Probability and Uncertainty 84
- Statistics and Probability 54
- Finance 43
- Management Science and Operations Research 33
- Economics and Econometrics 29
Countries citing papers authored by Tommaso Lando
This map shows the geographic impact of Tommaso Lando'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 Tommaso Lando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tommaso Lando more than expected).
Fields of papers citing papers by Tommaso Lando
This network shows the impact of papers produced by Tommaso Lando. 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 Tommaso Lando. The network helps show where Tommaso Lando may publish in the future.
Co-authorship network of co-authors of Tommaso Lando
This figure shows the co-authorship network connecting the top 25 collaborators of Tommaso Lando. A scholar is included among the top collaborators of Tommaso Lando 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 Tommaso Lando. Tommaso Lando 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 | 5 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 27 | |
| 8 | 95 | |
| 9 | 9 | |
| 10 | 2 | |
| 11 | A geometric model for the analysis of citation distributions | 1 |
| 12 | Independence tests for financial variables | 1 |
| 13 | Independence Tests based on the Conditional Expectation | 1 |
| 14 | On the use of conditional expectation estimators | 2 |
| 15 | 17 | |
| 16 | 8 | |
| 17 | Statistical functionals consistent with a weak relative majorization ordering: applications to the mimimum divergence estimation | 4 |
| 18 | 11 | |
| 19 | Portfolio selection in the BRICs stocks markets using Markov processes | 3 |
| 20 | Portfolio problems based on returns consistent with the investor's preferences | 2 |
About Tommaso Lando
Tommaso Lando is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Finance, having authored 38 papers that have together received 252 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (13 papers), Advanced Statistical Methods and Models (9 papers) and Financial Risk and Volatility Modeling (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (84 citations), Statistics and Probability (54 citations) and Finance (43 citations). Tommaso Lando has collaborated with scholars based in Italy, Czechia and Portugal. Frequent co-authors include Sergio Ortobelli Lozza, Paulo Eduardo Oliveira, Tomáš Tichý, Almira Biglova, Jiří Franěk and Paulo Eduardo de Oliveira. Their work appears in journals such as PLoS ONE, Scientometrics and Journal of Computational and Applied Mathematics.
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.