Joaquín Rodríguez

1.8k total citations
60 papers, 1.3k citations indexed

About

Joaquín Rodríguez is a scholar working on Industrial and Manufacturing Engineering, Transportation and Mechanical Engineering. According to data from OpenAlex, Joaquín Rodríguez has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Industrial and Manufacturing Engineering, 27 papers in Transportation and 26 papers in Mechanical Engineering. Recurrent topics in Joaquín Rodríguez's work include Railway Systems and Energy Efficiency (40 papers), Transportation Planning and Optimization (27 papers) and Railway Engineering and Dynamics (25 papers). Joaquín Rodríguez is often cited by papers focused on Railway Systems and Energy Efficiency (40 papers), Transportation Planning and Optimization (27 papers) and Railway Engineering and Dynamics (25 papers). Joaquín Rodríguez collaborates with scholars based in France, Italy and Spain. Joaquín Rodríguez's co-authors include Paola Pellegrini, Grégory Marlière, Xavier Gandibleux, Xavier Delorme, Shoshana J. Wodak, Marianne Rooman, Dario Pacciarelli, Andrea D’Ariano, Marcella Samà and Raffaele Pesenti and has published in prestigious journals such as Journal of Molecular Biology, European Journal of Operational Research and IEEE Access.

In The Last Decade

Joaquín Rodríguez

54 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joaquín Rodríguez France 19 957 676 552 133 85 60 1.3k
Laura Galli Italy 12 311 0.3× 187 0.3× 89 0.2× 30 0.2× 76 0.9× 41 560
Yonghua Zhou China 13 170 0.2× 160 0.2× 90 0.2× 8 0.1× 51 0.6× 57 575
Markus Bohlin Sweden 16 433 0.5× 159 0.2× 209 0.4× 1 0.0× 70 0.8× 84 827
Juana L. Redondo Spain 17 139 0.1× 29 0.0× 63 0.1× 31 0.2× 75 0.9× 71 782
Alberto Garcia‐Diaz United States 14 253 0.3× 68 0.1× 78 0.1× 3 0.0× 26 0.3× 59 686
Edgar Scavino Malaysia 12 199 0.2× 16 0.0× 40 0.1× 27 0.2× 27 0.3× 27 651
Hong Zhao China 13 45 0.0× 75 0.1× 27 0.0× 35 0.3× 89 1.0× 63 541
Li Zheng China 18 698 0.7× 35 0.1× 17 0.0× 10 0.1× 60 0.7× 71 899
Ying Meng China 12 163 0.2× 27 0.0× 44 0.1× 18 0.1× 39 0.5× 57 518
Maximilian Schiffer Germany 18 547 0.6× 205 0.3× 15 0.0× 5 0.0× 30 0.4× 60 1.1k

Countries citing papers authored by Joaquín Rodríguez

Since Specialization
Citations

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

Fields of papers citing papers by Joaquín Rodríguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joaquín Rodríguez

This figure shows the co-authorship network connecting the top 25 collaborators of Joaquín Rodríguez. A scholar is included among the top collaborators of Joaquín Rodríguez 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 Joaquín Rodríguez. Joaquín Rodríguez 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.
Pellegrini, Paola, et al.. (2025). Impact of track discretisation on conflict detection and resolution under ETCS with onboard train integrity monitoring. Journal of Rail Transport Planning & Management. 35. 100533–100533.
2.
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.
3.
Pellegrini, Paola, et al.. (2024). A Real-Time Railway Traffic Management Approach Preserving Passenger Connections. IEEE Access. 12. 79066–79081.
4.
Quaglietta, Egidio, et al.. (2023). Real-time railway traffic management under moving-block signalling: A literature review and research agenda. Transportation Research Part C Emerging Technologies. 158. 104438–104438. 8 indexed citations
5.
Pellegrini, Paola, et al.. (2023). A review of passenger-oriented railway rescheduling approaches. European Transport Research Review. 15(1). 13 indexed citations
6.
Marlière, Grégory, et al.. (2023). A conditional time-intervals formulation of the real-time Railway Traffic Management Problem. Control Engineering Practice. 133. 105430–105430. 5 indexed citations
7.
Nash, Andrew, et al.. (2022). Multiobjective Timetable Development Tool for Railway Strategic Planning in Norway. Transportation Research Record Journal of the Transportation Research Board. 2677(1). 720–729. 2 indexed citations
8.
Pellegrini, Paola, et al.. (2022). Train management in freight shunting yards: Formalisation and literature review. IET Intelligent Transport Systems. 16(10). 1286–1305. 13 indexed citations
9.
Pellegrini, Paola, et al.. (2019). A three-step Benders decomposition for the real-time Railway Traffic Management Problem. Journal of Rail Transport Planning & Management. 13. 100170–100170. 11 indexed citations
10.
Arenas, Diego, Paola Pellegrini, Saïd Hanafi, & Joaquín Rodríguez. (2018). Timetable rearrangement to cope with railway maintenance activities. Computers & Operations Research. 95. 123–138. 25 indexed citations
11.
Pellegrini, Paola, Grégory Marlière, & Joaquín Rodríguez. (2016). A detailed analysis of the actual impact of real-time railway traffic management optimization. Journal of Rail Transport Planning & Management. 6(1). 13–31. 23 indexed citations
12.
Vandanjon, Pierre‐Olivier, et al.. (2016). Towards eco‐aware timetabling: evolutionary approach and cascading initialisation strategy for the bi‐objective optimisation of train running times. IET Intelligent Transport Systems. 10(7). 483–494. 6 indexed citations
13.
Rodríguez, Joaquín. (2008). An incremental decision algorithm for railway traffic optimisation in a complex station. WIT transactions on the built environment. I. 495–504. 2 indexed citations
14.
Rodríguez, Joaquín, Xavier Delorme, & Xavier Gandibleux. (2002). Railway infrastructure saturation using Constraint Programming approach. Annual Conference on Computers. 61. 6 indexed citations
15.
Lefèbvre, F., Joaquín Rodríguez, & Sylvain Piechowiak. (2002). Modeling of the maintenance tool for a high-speed signalling system. 4. 3246–3250. 1 indexed citations
16.
Rodríguez, Joaquín. (2000). EMPIRICAL STUDY OF A RAILWAY TRAFFIC MANAGEMENT CONSTRAINT PROGRAMMING MODEL. Annual Conference on Computers. 50. 3 indexed citations
17.
Rodríguez, Joaquín, et al.. (1998). Constraint Programming For Real-time TrainCirculation Management Problems In RailwayNodes. WIT transactions on the built environment. 37. 5 indexed citations
18.
Piechowiak, Sylvain & Joaquín Rodríguez. (1994). A constraint network manager for diagnosing.. 137–145.
19.
Barros‐Velázquez, Jorge, et al.. (1994). Biotyping of Campylobacter jejuni and Campylobacter coli infections in Spain. Journal of Infection. 29(3). 305–310. 5 indexed citations
20.
Rooman, Marianne, Joaquín Rodríguez, & Shoshana J. Wodak. (1990). Automatic definition of recurrent local structure motifs in proteins. Journal of Molecular Biology. 213(2). 327–336. 93 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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