Dario Pacciarelli

6.5k total citations · 2 hit papers
106 papers, 5.0k citations indexed

About

Dario Pacciarelli is a scholar working on Industrial and Manufacturing Engineering, Transportation and Mechanical Engineering. According to data from OpenAlex, Dario Pacciarelli has authored 106 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Industrial and Manufacturing Engineering, 30 papers in Transportation and 21 papers in Mechanical Engineering. Recurrent topics in Dario Pacciarelli's work include Railway Systems and Energy Efficiency (41 papers), Scheduling and Optimization Algorithms (31 papers) and Transportation Planning and Optimization (30 papers). Dario Pacciarelli is often cited by papers focused on Railway Systems and Energy Efficiency (41 papers), Scheduling and Optimization Algorithms (31 papers) and Transportation Planning and Optimization (30 papers). Dario Pacciarelli collaborates with scholars based in Italy, Netherlands and France. Dario Pacciarelli's co-authors include Andrea D’Ariano, Marco Pranzo, Francesco Corman, Alessandro Agnetis, Marcella Samà, Andrea Pacifici, Pitu B. Mirchandani, Stanisław Gawiejnowicz, Ameur Soukhal and Paola Pellegrini and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Operations Research.

In The Last Decade

Dario Pacciarelli

99 papers receiving 4.7k citations

Hit Papers

A branch and bound algori... 2002 2026 2010 2018 2006 2002 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dario Pacciarelli Italy 36 4.2k 1.9k 1.4k 865 534 106 5.0k
Andrea D’Ariano Italy 42 4.5k 1.1× 3.4k 1.8× 2.6k 1.8× 252 0.3× 561 1.1× 189 5.7k
Marco Pranzo Italy 28 2.5k 0.6× 1.6k 0.8× 1.3k 0.9× 263 0.3× 125 0.2× 69 3.0k
Francesco Corman Switzerland 40 3.6k 0.9× 2.9k 1.5× 2.2k 1.5× 223 0.3× 151 0.3× 212 4.9k
Valentina Cacchiani Italy 27 2.3k 0.6× 1.5k 0.8× 1.0k 0.7× 226 0.3× 46 0.1× 57 2.8k
François Soumis Canada 40 5.1k 1.2× 1.0k 0.5× 166 0.1× 488 0.6× 370 0.7× 166 6.1k
Rob M.P. Goverde Netherlands 40 3.7k 0.9× 2.6k 1.4× 2.2k 1.5× 217 0.3× 63 0.1× 152 4.7k
Guy Desaulniers Canada 39 3.6k 0.9× 608 0.3× 88 0.1× 301 0.3× 231 0.4× 187 4.4k
Leo Kroon Netherlands 39 3.9k 0.9× 2.8k 1.5× 1.6k 1.1× 264 0.3× 17 0.0× 107 4.8k
Anita Schöbel Germany 31 1.3k 0.3× 1.3k 0.7× 386 0.3× 112 0.1× 36 0.1× 134 3.0k
Mohan Krishnamoorthy Australia 31 3.5k 0.8× 877 0.5× 37 0.0× 481 0.6× 596 1.1× 87 4.9k

Countries citing papers authored by Dario Pacciarelli

Since Specialization
Citations

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

Fields of papers citing papers by Dario Pacciarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dario Pacciarelli

This figure shows the co-authorship network connecting the top 25 collaborators of Dario Pacciarelli. A scholar is included among the top collaborators of Dario Pacciarelli 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 Dario Pacciarelli. Dario Pacciarelli 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.
Samà, Marcella, et al.. (2024). Formulation of train routing selection problem for different real-time traffic management objectives. Journal of Rail Transport Planning & Management. 31. 100460–100460.
2.
D’Ariano, Andrea, et al.. (2023). Quadratically Constrained Linear Programming-based energy-efficient driving for High-speed Trains with neutral zone and time window. Transportation Research Part C Emerging Technologies. 154. 104202–104202. 9 indexed citations
3.
Samà, Marcella, et al.. (2022). A simulation-optimization framework for traffic disturbance recovery in metro systems. Transportation Research Part C Emerging Technologies. 136. 103525–103525. 22 indexed citations
4.
Samà, Marcella, et al.. (2021). Train routing selection problem: Ant colony optimization versus integer linear programming. IFAC-PapersOnLine. 54(2). 167–172. 9 indexed citations
5.
Corman, Francesco, Andrea D’Ariano, Alessio D. Marra, Dario Pacciarelli, & Marcella Samà. (2016). Integrating train scheduling and delay management in real-time railway traffic control. Transportation Research Part E Logistics and Transportation Review. 105. 213–239. 169 indexed citations
7.
Corman, Francesco, Dario Pacciarelli, Andrea D’Ariano, & Marcella Samà. (2015). Railway Traffic Rescheduling with Minimization of Passengers Discomfort. 2 indexed citations
8.
D’Ariano, Andrea, et al.. (2012). Effectiveness of Optimal Aircraft Rerouting Strategies for the Management of Disturbed Traffic Conditions. Iris (Roma Tre University). 2 indexed citations
9.
Pacciarelli, Dario, et al.. (2011). Optimal location of RFID antennas in a courier express warehouse. Iris (Roma Tre University). 1–6. 2 indexed citations
10.
Flamini, Marta & Dario Pacciarelli. (2007). Real time management of a metro rail terminus. European Journal of Operational Research. 189(3). 746–761. 25 indexed citations
11.
Agnetis, Alessandro, Nicholas G. Hall, & Dario Pacciarelli. (2006). Supply chain scheduling: Sequence coordination. Discrete Applied Mathematics. 154(15). 2044–2063. 80 indexed citations
12.
Pacciarelli, Dario & Marco Pranzo. (2006). SPEED REGULATION IN RAIL NETWORKS. IFAC Proceedings Volumes. 39(12). 355–360. 6 indexed citations
13.
D’Ariano, Andrea, Dario Pacciarelli, & Marco Pranzo. (2005). Flexible timetables for real-time trainrescheduling. Iris (Roma Tre University). 540–549. 1 indexed citations
14.
Adacher, Ludovica, et al.. (2004). Scheduling arrivals and departures in a busy airport. Iris (Roma Tre University). 4 indexed citations
15.
Agnetis, Alessandro, Prakash Mirchandani, Dario Pacciarelli, & Andrea Pacifici. (2000). Nondominated Schedules for a Job-Shop with Two Competing Users. Computational and Mathematical Organization Theory. 6(2). 191–217. 28 indexed citations
16.
Agnetis, Alessandro, Roberto Macchiaroli, Dario Pacciarelli, & Fabrizio Rossi. (1997). Assigning jobs to time frames on a single machine to minimize total tardiness. IIE Transactions. 29(11). 965–976. 1 indexed citations
17.
Agnetis, Alessandro, Andrea Pacifici, Fabrizio Rossi, et al.. (1997). Scheduling of flexible flow lines in an automobile assembly plant. European Journal of Operational Research. 97(2). 348–362. 49 indexed citations
18.
Agnetis, Alessandro, Dario Pacciarelli, & Fabrizio Rossi. (1997). Batch scheduling in a two-machine flow shop with limited buffer. Discrete Applied Mathematics. 72(3). 243–260. 21 indexed citations
19.
Pacciarelli, Dario, et al.. (1996). Optimal Flow Management in Flexible Assembly Systems: the Minimal Part Transfer Problem. Systems Science. 22(2). 68–80. 4 indexed citations
20.
Agnetis, Alessandro, Dario Pacciarelli, & Fabrizio Rossi. (1996). Lot Scheduling in a Two-Machine Cell with Swapping Devices. IIE Transactions. 28(11). 911–917. 14 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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