Javier Panadero

1.8k total citations
103 papers, 1.2k citations indexed

About

Javier Panadero is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Building and Construction. According to data from OpenAlex, Javier Panadero has authored 103 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Industrial and Manufacturing Engineering, 28 papers in Automotive Engineering and 24 papers in Building and Construction. Recurrent topics in Javier Panadero's work include Vehicle Routing Optimization Methods (57 papers), Transportation and Mobility Innovations (28 papers) and Urban and Freight Transport Logistics (18 papers). Javier Panadero is often cited by papers focused on Vehicle Routing Optimization Methods (57 papers), Transportation and Mobility Innovations (28 papers) and Urban and Freight Transport Logistics (18 papers). Javier Panadero collaborates with scholars based in Spain, United Kingdom and United States. Javier Panadero's co-authors include Ángel A. Juan, Carlos L. Quintero-Araújo, Christopher Bayliss, Jésica de Armas, Rafael D. Tordecilla, José Andrés Moreno Pérez, Christine Currie, Bhakti Stephan Onggo, Jairo R. Montoya‐Torres and Canan G. Corlu and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Sensors.

In The Last Decade

Javier Panadero

98 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
Javier Panadero Spain 16 653 258 208 189 173 103 1.2k
Daniele Manerba Italy 18 583 0.9× 186 0.7× 265 1.3× 118 0.6× 162 0.9× 41 1.0k
Burak Ekşioğlu United States 17 757 1.2× 331 1.3× 252 1.2× 92 0.5× 170 1.0× 49 1.4k
Demetrio Laganà Italy 20 740 1.1× 258 1.0× 291 1.4× 94 0.5× 153 0.9× 50 1.2k
Scott E. Grasman United States 16 612 0.9× 253 1.0× 207 1.0× 151 0.8× 149 0.9× 62 1.2k
Yossiri Adulyasak Canada 17 1.0k 1.6× 338 1.3× 263 1.3× 146 0.8× 199 1.2× 51 1.6k
Roberto Musmanno Italy 21 943 1.4× 342 1.3× 391 1.9× 131 0.7× 112 0.6× 75 1.6k
Mingyao Qi China 19 666 1.0× 235 0.9× 268 1.3× 59 0.3× 203 1.2× 70 1.0k
Mike Hewitt United States 22 896 1.4× 461 1.8× 414 2.0× 144 0.8× 100 0.6× 56 1.3k
Erhan Kutanoğlu United States 21 944 1.4× 172 0.7× 259 1.2× 197 1.0× 258 1.5× 54 1.7k
Seyed Farid Ghannadpour Iran 19 597 0.9× 228 0.9× 280 1.3× 238 1.3× 235 1.4× 55 1.2k

Countries citing papers authored by Javier Panadero

Since Specialization
Citations

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

Fields of papers citing papers by Javier Panadero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Panadero

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Panadero. A scholar is included among the top collaborators of Javier Panadero 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 Javier Panadero. Javier Panadero 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.
Panadero, Javier, et al.. (2025). A discrete-event simheuristic for enhancing urban mobility. Simulation Modelling Practice and Theory. 140. 103084–103084. 1 indexed citations
2.
Panadero, Javier, et al.. (2025). Combining the A* Algorithm with Neural Networks to Solve the Team Orienteering Problem with Obstacles and Environmental Factors. Algorithms. 18(6). 309–309. 1 indexed citations
3.
Marquès, Joan Manuel, et al.. (2024). NARA: Network-Aware Resource Allocation mechanism for minimizing quality-of-service impact while dealing with energy consumption in volunteer networks. Future Generation Computer Systems. 164. 107593–107593. 1 indexed citations
4.
Peidro, David, et al.. (2024). Solving the uncapacitated facility location problem under uncertainty: a hybrid tabu search with path-relinking simheuristic approach. Applied Intelligence. 54(7). 5617–5638. 2 indexed citations
5.
Panadero, Javier, et al.. (2024). A sim-learnheuristic algorithm for solving a capacitated dispersion problem under stochastic and non-static conditions. AIMS Mathematics. 9(9). 24247–24270. 1 indexed citations
6.
Juan, Ángel A., et al.. (2024). An Agile Adaptive Biased-Randomized Discrete-Event Heuristic for the Resource-Constrained Project Scheduling Problem. Mathematics. 12(12). 1873–1873. 1 indexed citations
7.
Martı́nez-Gavara, Anna, et al.. (2024). A Forward–Backward Simheuristic for the Stochastic Capacitated Dispersion Problem. Mathematics. 12(6). 909–909. 2 indexed citations
8.
Panadero, Javier, et al.. (2024). A Learnheuristic Algorithm Based on Thompson Sampling for the Heterogeneous and Dynamic Team Orienteering Problem. Mathematics. 12(11). 1758–1758. 3 indexed citations
9.
Calvet, Laura, et al.. (2023). Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy. Energies. 16(3). 1268–1268. 17 indexed citations
10.
Bayliss, Christopher & Javier Panadero. (2023). Simheuristic and learnheuristic algorithms for the temporary-facility location and queuing problem during population treatment or testing events. Journal of Simulation. 18(4). 626–645. 5 indexed citations
11.
Barrena, Eva, et al.. (2022). A biased-randomized discrete-event heuristic for coordinated multi-vehicle container transport across interconnected networks. European Journal of Operational Research. 302(1). 348–362. 9 indexed citations
12.
Panadero, Javier, Eva Barrena, Ángel A. Juan, & David Canca. (2022). The Stochastic Team Orienteering Problem with Position-Dependent Rewards. Mathematics. 10(16). 2856–2856. 3 indexed citations
13.
Panadero, Javier, et al.. (2021). Combining Parallel Computing and Biased Randomization for Solving the Team Orienteering Problem in Real-Time. Applied Sciences. 11(24). 12092–12092. 11 indexed citations
14.
Juan, Ángel A., Peter Keenan, Rafael Martı́, et al.. (2021). A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics. Annals of Operations Research. 320(2). 831–861. 52 indexed citations
15.
Estrada‐Moreno, Alejandro, et al.. (2019). A biased-randomised algorithm for the capacitated facility location problem with soft constraints. Journal of the Operational Research Society. 71(11). 1799–1815. 11 indexed citations
16.
Ferone, Daniele, et al.. (2018). A simheuristic algorithm for solving an integrated resource allocation and scheduling problem. Winter Simulation Conference. 3340–3351. 1 indexed citations
17.
Faulín, Javier, et al.. (2018). The team orienteering problem with stochastic service times and driving-range limitations: a simheuristic approach. Winter Simulation Conference. 3025–3035. 2 indexed citations
18.
Panadero, Javier, Jésica de Armas, Christine Currie, & Ángel A. Juan. (2017). A simheuristic approach for the stochastic team orienteering problem. Winter Simulation Conference. 3208–3217. 1 indexed citations
19.
Panadero, Javier, et al.. (2017). P3S: A Methodology to Analyze and Predict Application Scalability. IEEE Transactions on Parallel and Distributed Systems. 29(3). 642–658. 4 indexed citations
20.
Panadero, Javier, et al.. (2012). A new approach for analyzing I/O in parallel scienti. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 1 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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