Fabio Tardella

1.2k total citations
53 papers, 747 citations indexed

About

Fabio Tardella is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Finance. According to data from OpenAlex, Fabio Tardella has authored 53 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Management Science and Operations Research, 25 papers in Computational Theory and Mathematics and 22 papers in Finance. Recurrent topics in Fabio Tardella's work include Risk and Portfolio Optimization (25 papers), Financial Markets and Investment Strategies (20 papers) and Complexity and Algorithms in Graphs (14 papers). Fabio Tardella is often cited by papers focused on Risk and Portfolio Optimization (25 papers), Financial Markets and Investment Strategies (20 papers) and Complexity and Algorithms in Graphs (14 papers). Fabio Tardella collaborates with scholars based in Italy, Canada and Japan. Fabio Tardella's 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 and has published in prestigious journals such as European Journal of Operational Research, Mathematical Programming and SIAM Journal on Control and Optimization.

In The Last Decade

Fabio Tardella

51 papers receiving 711 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fabio Tardella Italy 17 408 289 216 179 137 53 747
Jun‐ya Gotoh Japan 13 323 0.8× 171 0.6× 61 0.3× 87 0.5× 81 0.6× 35 669
Dietmar Maringer Switzerland 12 425 1.0× 289 1.0× 136 0.6× 27 0.2× 151 1.1× 34 657
Sebastián Ceria United States 7 222 0.5× 98 0.3× 324 1.5× 194 1.1× 34 0.2× 11 875
Qiji Jim Zhu United States 18 175 0.4× 240 0.8× 914 4.2× 499 2.8× 193 1.4× 62 1.4k
X.Y. Zhou Hong Kong 8 536 1.3× 792 2.7× 100 0.5× 30 0.2× 324 2.4× 13 1.1k
Marianne Akian France 14 120 0.3× 203 0.7× 210 1.0× 65 0.4× 157 1.1× 46 633
J. L. Menaldi United States 15 129 0.3× 496 1.7× 285 1.3× 57 0.3× 167 1.2× 57 888
Arie Leizarowitz Israel 12 52 0.1× 77 0.3× 253 1.2× 85 0.5× 157 1.1× 34 627
T. Parthasarathy India 17 362 0.9× 65 0.2× 310 1.4× 169 0.9× 383 2.8× 63 923
Daniel Hernández–Hernández Mexico 14 373 0.9× 382 1.3× 66 0.3× 24 0.1× 272 2.0× 50 755

Countries citing papers authored by Fabio Tardella

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Garcı́a-Bernabeu, Ana, et al.. (2024). ESG integration in portfolio selection: A robust preference-based multicriteria approach. Operations Research Perspectives. 12. 100305–100305. 9 indexed citations
2.
Cesarone, Francesco, et al.. (2023). Mean-Variance-VaR portfolios: MIQP formulation and performance analysis. Florence Research (University of Florence). 7 indexed citations
3.
Cesarone, Francesco, et al.. (2023). A return-diversification approach to portfolio selection. SSRN Electronic Journal. 1 indexed citations
4.
Bellini, Fabio, et al.. (2020). Risk parity with expectiles. European Journal of Operational Research. 291(3). 1149–1163. 33 indexed citations
5.
Cesarone, Francesco, et al.. (2018). On the Stability of Portfolio Selection Models. SSRN Electronic Journal. 3 indexed citations
6.
Murota, Kazuo, et al.. (2018). Scaling, proximity, and optimization of integrally convex functions. Mathematical Programming. 175(1-2). 119–154. 11 indexed citations
7.
Tardella, Fabio, et al.. (2017). Largest Minimal Inversion-Complete and Pair-Complete Sets of Permutations. COMBINATORICA. 38(1). 29–41. 1 indexed citations
8.
Cesarone, Francesco, et al.. (2016). Optimally chosen small portfolios are better than large ones. Economics bulletin. 36(4). 1876–1891. 20 indexed citations
9.
Bruni, Renato, Francesco Cesarone, Andrea Scozzari, & Fabio Tardella. (2016). Real-world datasets for portfolio selection and solutions of some stochastic dominance portfolio models. Data in Brief. 8. 858–862. 34 indexed citations
10.
Bruni, Renato, Francesco Cesarone, Andrea Scozzari, & Fabio Tardella. (2016). On exact and approximate stochastic dominance strategies for portfolio selection. European Journal of Operational Research. 259(1). 322–329. 60 indexed citations
11.
Murota, Kazuo, et al.. (2016). Scaling and Proximity Properties of Integrally Convex Functions. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 13. 2 indexed citations
12.
Bruni, Renato, Francesco Cesarone, Andrea Scozzari, & Fabio Tardella. (2013). No arbitrage and a linear portfolio selection model. Economics bulletin. 2(1). 1247–1258. 8 indexed citations
13.
Bruni, Renato, Andrea Scozzari, Francesco Cesarone, & Fabio Tardella. (2012). A new stochastic dominance approach to enhanced index tracking problems. Economics bulletin. 32(4). 3460–3470. 18 indexed citations
14.
Scozzari, Andrea, Fabio Tardella, Sandra Paterlini, & Thiemo Krink. (2012). Exact and Heuristic Approaches for the Index Tracking Problem with UCITS Constraints. SSRN Electronic Journal. 1 indexed citations
15.
Tardella, Fabio. (2007). Existence and sum decomposition of vertex polyhedral convex envelopes. Optimization Letters. 2(3). 363–375. 44 indexed citations
16.
Bomze, Immanuel M., Marco Locatelli, & Fabio Tardella. (2007). New and old bounds for standard quadratic optimization: dominance, equivalence and incomparability. Mathematical Programming. 115(1). 31–64. 49 indexed citations
17.
Queyranne, Maurice & Fabio Tardella. (2005). Bimonotone linear inequalities and sublattices of Rn. Linear Algebra and its Applications. 413(1). 100–120. 10 indexed citations
18.
Bomze, Immanuel M., Marco Locatelli, & Fabio Tardella. (2005). Efficient and cheap bounds for (standard) quadratic optimization. Florence Research (University of Florence). 1–43. 2 indexed citations
19.
Tardella, Fabio. (2004). Connections between continuous and combinatorial optimization problems through an extension of the fundamental theorem of Linear Programming. Electronic Notes in Discrete Mathematics. 17. 257–262. 10 indexed citations
20.
Tardella, Fabio, et al.. (1998). A General Class of Greedily Solvable Linear Programs. Florence Research (University of Florence). 16 indexed citations

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.

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