Fabio Schoen

2.3k total citations
72 papers, 1.5k citations indexed

About

Fabio Schoen is a scholar working on Artificial Intelligence, Numerical Analysis and Computational Theory and Mathematics. According to data from OpenAlex, Fabio Schoen has authored 72 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 22 papers in Numerical Analysis and 22 papers in Computational Theory and Mathematics. Recurrent topics in Fabio Schoen's work include Metaheuristic Optimization Algorithms Research (23 papers), Advanced Optimization Algorithms Research (20 papers) and Advanced Multi-Objective Optimization Algorithms (17 papers). Fabio Schoen is often cited by papers focused on Metaheuristic Optimization Algorithms Research (23 papers), Advanced Optimization Algorithms Research (20 papers) and Advanced Multi-Objective Optimization Algorithms (17 papers). Fabio Schoen collaborates with scholars based in Italy, United Kingdom and Netherlands. Fabio Schoen's co-authors include Marco Locatelli, Bernardetta Addis, Andrea Cassioli, Andrea Grosso, Marco Sciandrone, Bruno Betrò, Francesco Archetti, Francesco Rinaldi, Jonathan P. K. Doye and Robert Leary and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and European Journal of Operational Research.

In The Last Decade

Fabio Schoen

70 papers receiving 1.4k 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 Schoen Italy 24 552 467 369 193 150 72 1.5k
Julius Žilinskas Lithuania 20 564 1.0× 410 0.9× 461 1.2× 86 0.4× 121 0.8× 89 1.2k
B.E. Stuckman United States 8 560 1.0× 417 0.9× 230 0.6× 99 0.5× 76 0.5× 19 1.5k
Aimo Törn Finland 13 941 1.7× 819 1.8× 487 1.3× 121 0.6× 155 1.0× 24 2.0k
Christoph Helmberg Germany 14 734 1.3× 217 0.5× 715 1.9× 256 1.3× 231 1.5× 36 1.5k
Tibor Csendes Hungary 19 534 1.0× 180 0.4× 295 0.8× 124 0.6× 64 0.4× 83 1.3k
Marco Locatelli Italy 29 1.0k 1.9× 675 1.4× 562 1.5× 357 1.8× 324 2.2× 155 2.6k
C.D. Perttunen United States 5 504 0.9× 361 0.8× 221 0.6× 54 0.3× 63 0.4× 11 1.4k
G. T. Timmer Netherlands 9 370 0.7× 367 0.8× 322 0.9× 177 0.9× 84 0.6× 16 1.1k
M. Montaz Ali South Africa 26 1.1k 2.0× 1.3k 2.9× 372 1.0× 176 0.9× 148 1.0× 99 2.6k
Antanas Žilinskas Lithuania 20 574 1.0× 410 0.9× 291 0.8× 53 0.3× 58 0.4× 95 1.2k

Countries citing papers authored by Fabio Schoen

Since Specialization
Citations

This map shows the geographic impact of Fabio Schoen'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 Schoen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Schoen more than expected).

Fields of papers citing papers by Fabio Schoen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio Schoen. 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 Schoen. The network helps show where Fabio Schoen may publish in the future.

Co-authorship network of co-authors of Fabio Schoen

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Schoen. A scholar is included among the top collaborators of Fabio Schoen 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 Schoen. Fabio Schoen 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.
Cappanera, Paola, et al.. (2023). Integrated task scheduling and personnel rostering of airports ground staff: A case study. Expert Systems with Applications. 238. 121953–121953. 3 indexed citations
2.
Taccari, Leonardo, et al.. (2022). Unsafe Maneuver Classification From Dashcam Video and GPS/IMU Sensors Using Spatio-Temporal Attention Selector. IEEE Transactions on Intelligent Transportation Systems. 23(9). 15605–15615. 5 indexed citations
3.
Schoen, Fabio, et al.. (2022). A memetic procedure for global multi-objective optimization. Mathematical Programming Computation. 15(2). 227–267. 5 indexed citations
4.
Zelinka, Ivan, Václav Snåšel, Swagatam Das, et al.. (2021). Impact of chaotic dynamics on the performance of metaheuristic optimization algorithms: An experimental analysis. Information Sciences. 587. 692–719. 20 indexed citations
5.
Sambo, Francesco, et al.. (2020). A Lightweight Deep Learning Model for Vehicle Viewpoint Estimation from Dashcam Images. Florence Research (University of Florence). 1–6. 2 indexed citations
6.
Schoen, Fabio, et al.. (2019). An efficient optimization approach for best subset selection in linear regression, with application to model selection and fitting in autoregressive time-series. Computational Optimization and Applications. 74(3). 919–948. 12 indexed citations
7.
Piccialli, Veronica, et al.. (2018). Scheduling the Italian National Volleyball Tournament. INFORMS Journal on Applied Analytics. 48(3). 271–284. 12 indexed citations
8.
Schoen, Fabio, et al.. (2018). Clustering methods for the optimization of atomic cluster structure. The Journal of Chemical Physics. 148(14). 144102–144102. 5 indexed citations
9.
Schoen, Fabio, et al.. (2016). Local search heuristics for the zone planning problem. Optimization Letters. 11(1). 195–207. 1 indexed citations
10.
D’Andrea, Eleonora, et al.. (2016). Path Clustering Based on a Novel Dissimilarity Function for Ride-Sharing Recommenders. CINECA IRIS Institutial research information system (University of Pisa). 1–8. 5 indexed citations
11.
Tassi, Andrea, Francesco Chiti, Romano Fantacci, & Fabio Schoen. (2014). An Energy-Efficient Resource Allocation Scheme for RLNC-Based Heterogeneous Multicast Communications. IEEE Communications Letters. 18(8). 1399–1402. 10 indexed citations
12.
Locatelli, Marco & Fabio Schoen. (2013). Global Optimization: Theory, Algorithms, and Applications. Florence Research (University of Florence). 59 indexed citations
13.
Locatelli, Marco, et al.. (2013). Differential evolution methods based on local searches. Computers & Operations Research. 43. 169–180. 27 indexed citations
14.
Cassioli, Andrea, Marco Locatelli, & Fabio Schoen. (2008). Dissimilarity measures for population-based global optimization algorithms. Computational Optimization and Applications. 45(2). 257–281. 13 indexed citations
15.
Rinaldi, Francesco, Fabio Schoen, & Marco Sciandrone. (2008). Concave programming for minimizing the zero-norm over polyhedral sets. Computational Optimization and Applications. 46(3). 467–486. 50 indexed citations
16.
Locatelli, Marco, et al.. (2006). Efficiently packing unequal disks in a circle: a computational approach which exploits the continuous and combinatorial structure of the problem. Operations Research Letters. 36. 37–42. 2 indexed citations
17.
Addis, Bernardetta, Marco Locatelli, & Fabio Schoen. (2005). Local optima smoothing for global optimization. Optimization methods & software. 20(4-5). 417–437. 48 indexed citations
18.
Pratelli, Antonio & Fabio Schoen. (2003). Optimal design of motorway toll stations. 3 indexed citations
19.
Schoen, Fabio. (1998). Computational Issues in High Performance Software for Nonlinear Optimization. Journal of the Operational Research Society. 49(11). 1225–1225. 1 indexed citations
20.
Archetti, Francesco & Fabio Schoen. (1984). A survey on the global optimization problem: General theory and computational approaches. Annals of Operations Research. 1(2). 87–110. 45 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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