Fabio Tardella
- Management Science and Operations Research top 1%
- Finance top 2%
- Computational Theory and Mathematics top 2%
- Numerical Analysis top 5%
- Economics and Econometrics top 10%
- Co-authors
- Francesco CesaroneAndrea ScozzariRenato BruniImmanuel M. BomzeMarco LocatelliMaurice QueyranneFabio BelliniAkihisa Tamura
- Topics
- Risk and Portfolio Optimization (25 papers)Financial Markets and Investment Strategies (20 papers)Complexity and Algorithms in Graphs (14 papers)
In The Last Decade
Fabio Tardella
51 papers receiving 711 citations
Peers
Comparison fields: 5 of 58
- Management Science and Operations Research 408
- Finance 289
- Computational Theory and Mathematics 216
- Numerical Analysis 179
- Economics and Econometrics 137
Countries citing papers authored by Fabio Tardella
This map shows the geographic impact of Fabio Tardella'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 Fabio Tardella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Tardella more than expected).
Fields of papers citing papers by Fabio Tardella
This network shows the impact of papers produced by Fabio Tardella. 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 Fabio Tardella. The network helps show where Fabio Tardella may publish in the future.
Co-authorship network of co-authors of Fabio Tardella
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Tardella. A scholar is included among the top collaborators of Fabio Tardella 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 Fabio Tardella. Fabio Tardella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | Optimally chosen small portfolios are better than large ones | 20 |
| 7 | 34 | |
| 8 | 2 | |
| 9 | 60 | |
| 10 | No arbitrage and a linear portfolio selection model | 8 |
| 11 | 1 | |
| 12 | A new stochastic dominance approach to enhanced index tracking problems | 18 |
| 13 | 1 | |
| 14 | 27 | |
| 15 | 44 | |
| 16 | 10 | |
| 17 | Efficient and cheap bounds for (standard) quadratic optimization | 2 |
| 18 | 10 | |
| 19 | 16 | |
| 20 | 15 |
About Fabio Tardella
Fabio Tardella is a scholar working on Finance, Management Science and Operations Research and Numerical Analysis, having authored 53 papers that have together received 747 indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (25 papers), Financial Markets and Investment Strategies (20 papers) and Complexity and Algorithms in Graphs (14 papers). The work is most often cited by research in Numerical Analysis (179 citations), Management Science and Operations Research (408 citations) and Finance (289 citations). Fabio Tardella has collaborated with scholars based in Italy, Canada and Japan. Frequent co-authors include Francesco Cesarone, Andrea Scozzari, Renato Bruni, Immanuel M. Bomze, Marco Locatelli, Maurice Queyranne, Fabio Bellini, Akihisa Tamura, Kazuo Murota and Endre Boros. Their work appears in journals such as European Journal of Operational Research, Mathematical Programming and SIAM Journal on Control and Optimization.
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.