Ferdinando Pezzella

2.2k total citations · 2 hit papers
20 papers, 1.6k citations indexed

About

Ferdinando Pezzella is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Transportation. According to data from OpenAlex, Ferdinando Pezzella has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Industrial and Manufacturing Engineering, 11 papers in Automotive Engineering and 4 papers in Transportation. Recurrent topics in Ferdinando Pezzella's work include Vehicle Routing Optimization Methods (13 papers), Transportation and Mobility Innovations (11 papers) and Scheduling and Optimization Algorithms (6 papers). Ferdinando Pezzella is often cited by papers focused on Vehicle Routing Optimization Methods (13 papers), Transportation and Mobility Innovations (11 papers) and Scheduling and Optimization Algorithms (6 papers). Ferdinando Pezzella collaborates with scholars based in Italy and Germany. Ferdinando Pezzella's co-authors include Gianluca Morganti, Gianfranco Ciaschetti, Luigi De Giovanni, Ornella Pisacane, Maurizio Bruglieri, Emanuela Merelli, Simona Mancini, Francesca Guerriero, Lucio Grandinetti and Guido Perboli and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and International Journal of Production Research.

In The Last Decade

Ferdinando Pezzella

20 papers receiving 1.6k citations

Hit Papers

A genetic algorithm for the Flexible Job-shop Scheduling ... 2007 2026 2013 2019 2007 2009 200 400 600

Peers

Ferdinando Pezzella
Ferdinando Pezzella
Citations per year, relative to Ferdinando Pezzella Ferdinando Pezzella (= 1×) peers Geraldo Robson Mateus

Countries citing papers authored by Ferdinando Pezzella

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinando Pezzella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferdinando Pezzella

This figure shows the co-authorship network connecting the top 25 collaborators of Ferdinando Pezzella. A scholar is included among the top collaborators of Ferdinando Pezzella 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 Ferdinando Pezzella. Ferdinando Pezzella 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.
Bruglieri, Maurizio, Ferdinando Pezzella, & Ornella Pisacane. (2018). A two-phase optimization method for a multiobjective vehicle relocation problem in electric carsharing systems. Journal of Combinatorial Optimization. 36(1). 162–193. 31 indexed citations
2.
Bruglieri, Maurizio, Ferdinando Pezzella, & Ornella Pisacane. (2018). An Adaptive Large Neighborhood Search for relocating vehicles in electric carsharing services. Discrete Applied Mathematics. 253. 185–200. 37 indexed citations
3.
Bruglieri, Maurizio, Simona Mancini, Ferdinando Pezzella, & Ornella Pisacane. (2018). A path-based solution approach for the Green Vehicle Routing Problem. Computers & Operations Research. 103. 109–122. 67 indexed citations
4.
Bruglieri, Maurizio, Ferdinando Pezzella, & Ornella Pisacane. (2017). Heuristic algorithms for the operator-based relocation problem in one-way electric carsharing systems. Discrete Optimization. 23. 56–80. 50 indexed citations
5.
Bruglieri, Maurizio, et al.. (2017). A three-phase matheuristic for the time-effective electric vehicle routing problem with partial recharges. Electronic Notes in Discrete Mathematics. 58. 95–102. 40 indexed citations
6.
Grandinetti, Lucio, Francesca Guerriero, Ferdinando Pezzella, & Ornella Pisacane. (2016). A pick-up and delivery problem with time windows by electric vehicles. International Journal of Productivity and Quality Management. 18(2/3). 403–403. 19 indexed citations
7.
Bruglieri, Maurizio, Simona Mancini, Ferdinando Pezzella, & Ornella Pisacane. (2016). A new Mathematical Programming Model for the Green Vehicle Routing Problem. Electronic Notes in Discrete Mathematics. 55. 89–92. 28 indexed citations
8.
Bruglieri, Maurizio, et al.. (2015). A Variable Neighborhood Search Branching for the Electric Vehicle Routing Problem with Time Windows. Electronic Notes in Discrete Mathematics. 47. 221–228. 129 indexed citations
9.
Grandinetti, Lucio, Francesca Guerriero, Ferdinando Pezzella, & Ornella Pisacane. (2014). The Multi-objective Multi-vehicle Pickup and Delivery Problem with Time Windows. Procedia - Social and Behavioral Sciences. 111. 203–212. 21 indexed citations
10.
Guerriero, Francesca, et al.. (2014). Multi-objective Optimization in Dial-a-ride Public Transportation. Transportation research procedia. 3. 299–308. 22 indexed citations
11.
Giovanni, Luigi De, Giselle Massi, Ferdinando Pezzella, et al.. (2013). A heuristic and an exact method for the gate matrix connection cost minimization problem. International Transactions in Operational Research. 20(5). 627–643. 5 indexed citations
12.
Giovanni, Luigi De, Giselle Massi, & Ferdinando Pezzella. (2012). An adaptive genetic algorithm for large-size open stack problems. International Journal of Production Research. 51(3). 682–697. 16 indexed citations
13.
Arbib, Claudio, Fabrizio Marinelli, & Ferdinando Pezzella. (2011). An LP-based tabu search for batch scheduling in a cutting process with finite buffers. International Journal of Production Economics. 136(2). 287–296. 18 indexed citations
14.
Giovanni, Luigi De & Ferdinando Pezzella. (2009). An Improved Genetic Algorithm for the Distributed and Flexible Job-shop Scheduling problem. European Journal of Operational Research. 200(2). 395–408. 260 indexed citations breakdown →
15.
Perboli, Guido, Ferdinando Pezzella, & Roberto Tadei. (2008). EVE-OPT: a hybrid algorithm for the capacitated vehicle routing problem. Mathematical Methods of Operations Research. 68(2). 361–382. 21 indexed citations
16.
Pezzella, Ferdinando, Gianluca Morganti, & Gianfranco Ciaschetti. (2007). A genetic algorithm for the Flexible Job-shop Scheduling Problem. Computers & Operations Research. 35(10). 3202–3212. 722 indexed citations breakdown →
17.
Pezzella, Ferdinando & Emanuela Merelli. (2000). A tabu search method guided by shifting bottleneck for the job shop scheduling problem. European Journal of Operational Research. 120(2). 297–310. 141 indexed citations
18.
Pezzella, Ferdinando, et al.. (1997). Solving large set covering problems for crew scheduling. Top. 5(1). 41–59. 1 indexed citations
19.
Apolloni, Bruno & Ferdinando Pezzella. (1984). Confidence intervals in the solution of stochastic integer linear programming problems. Annals of Operations Research. 1(1). 67–78. 2 indexed citations
20.
Pezzella, Ferdinando, et al.. (1981). A system approach to the optimal health-care districting. European Journal of Operational Research. 8(2). 139–146. 11 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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