Daniel Riera

2.1k total citations
31 papers, 1.3k citations indexed

About

Daniel Riera is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Management Information Systems. According to data from OpenAlex, Daniel Riera has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Industrial and Manufacturing Engineering, 7 papers in Automotive Engineering and 7 papers in Management Information Systems. Recurrent topics in Daniel Riera's work include Vehicle Routing Optimization Methods (19 papers), Transportation and Mobility Innovations (7 papers) and Transportation Planning and Optimization (6 papers). Daniel Riera is often cited by papers focused on Vehicle Routing Optimization Methods (19 papers), Transportation and Mobility Innovations (7 papers) and Transportation Planning and Optimization (6 papers). Daniel Riera collaborates with scholars based in Spain, United States and Mexico. Daniel Riera's co-authors include Ángel A. Juan, Robert Clarisó, Jordi Cabot, Alberto Mora, Joan Arnedo-Moreno, Carina Soledad González González, Daniel Guimarans, José Cáceres-Cruz, Javier Faulín and Barry B. Barrios and has published in prestigious journals such as ACM Computing Surveys, Journal of the Operational Research Society and Transportation Research Part C Emerging Technologies.

In The Last Decade

Daniel Riera

30 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Riera Spain	15	537	300	261	254	196	31	1.3k
Rik Eshuis Netherlands	19	171 0.3×	41 0.1×	217 0.8×	439 1.7×	640 3.3×	68	1.3k
Antonio Bucchiarone Italy	18	80 0.1×	123 0.4×	177 0.7×	537 2.1×	607 3.1×	101	1.3k
Shian‐Shyong Tseng Taiwan	24	74 0.1×	120 0.4×	42 0.2×	485 1.9×	695 3.5×	133	1.6k
Fredrik Heintz Sweden	19	49 0.1×	140 0.5×	53 0.2×	652 2.6×	224 1.1×	97	1.7k
Eugénio Oliveira Portugal	17	165 0.3×	28 0.1×	25 0.1×	512 2.0×	182 0.9×	178	1.2k
Jimmy H. M. Lee Hong Kong	14	100 0.2×	207 0.7×	31 0.1×	349 1.4×	118 0.6×	95	1.1k
Michael D. Harrison United Kingdom	19	55 0.1×	65 0.2×	262 1.0×	442 1.7×	242 1.2×	114	1.6k
Marco Pistore Italy	25	56 0.1×	99 0.3×	217 0.8×	1.6k 6.4×	1.4k 7.0×	107	2.3k
Earl D. Sacerdoti United States	9	227 0.4×	59 0.2×	139 0.5×	1.8k 7.2×	212 1.1×	13	2.4k
Claudio Giovanni Demartini Italy	17	81 0.2×	22 0.1×	81 0.3×	258 1.0×	680 3.5×	77	1.3k

Countries citing papers authored by Daniel Riera

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Riera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Riera

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Riera. A scholar is included among the top collaborators of Daniel Riera 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 Daniel Riera. Daniel Riera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Calvet, Laura, et al.. (2025). Strategic Decision-Making in SMEs: A Review of Heuristics and Machine Learning for Multi-Objective Optimization. Computation. 13(7). 173–173.

Juan, Ángel A., et al.. (2023). Solving NP-Hard Challenges in Logistics and Transportation under General Uncertainty Scenarios Using Fuzzy Simheuristics. Algorithms. 16(12). 570–570. 2 indexed citations

Oliva, Diego, et al.. (2020). Fuzzy Simheuristics: Solving Optimization Problems under Stochastic and Uncertainty Scenarios. Mathematics. 8(12). 2240–2240. 15 indexed citations

Mora, Alberto, Daniel Riera, Carina Soledad González González, & Joan Arnedo-Moreno. (2017). Gamification: a systematic review of design frameworks. Journal of Computing in Higher Education. 29(3). 516–548. 190 indexed citations

Juan, Ángel A., et al.. (2016). A simheuristic algorithm for solving the arc routing problem with stochastic demands. Journal of Simulation. 12(1). 53–66. 56 indexed citations

Mora, Alberto, Daniel Riera, Carina Soledad González González, & Joan Arnedo-Moreno. (2015). A Literature Review of Gamification Design Frameworks. 1–8. 164 indexed citations

Barrios, Barry B., et al.. (2014). On the use of biased randomization and simheuristics to solve vehicle and arc routing problems. Winter Simulation Conference. 1875–1884. 2 indexed citations

Cáceres-Cruz, José, et al.. (2014). Rich Vehicle Routing Problem. ACM Computing Surveys. 47(2). 1–28. 176 indexed citations

Juan, Ángel A., Barry B. Barrios, Eva Vallada, Daniel Riera, & Josep Jorba. (2014). A simheuristic algorithm for solving the permutation flow shop problem with stochastic processing times. Simulation Modelling Practice and Theory. 46. 101–117. 68 indexed citations

10.

Cabot, Jordi, Robert Clarisó, & Daniel Riera. (2014). On the verification of UML/OCL class diagrams using constraint programming. Journal of Systems and Software. 93. 1–23. 86 indexed citations

11.

Riera, Daniel, et al.. (2012). Sim-RandSHARP: A hybrid algorithm for solving the Arc Routing Problem with Stochastic Demands. Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC). 1–11. 12 indexed citations

12.

Juan, Ángel A., et al.. (2012). Development and assessment of the SHARP and RandSHARP algorithms for the arc routing problem. AI Communications. 25(2). 173–189. 22 indexed citations

13.

Guimarans, Daniel, et al.. (2011). Combining probabilistic algorithms, Constraint Programming and Lagrangian Relaxation to solve the Vehicle Routing Problem. Annals of Mathematics and Artificial Intelligence. 62(3-4). 299–315. 13 indexed citations

14.

Juan, Ángel A., et al.. (2010). On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics. Journal of the Operational Research Society. 62(6). 1085–1097. 92 indexed citations

15.

Riera, Daniel, et al.. (2009). A constraint programming-based library for the vehicle routing problem. Annual Simulation Symposium. 1 indexed citations

16.

Juan, Ángel A., Scott E. Grasman, Javier Faulín, et al.. (2009). Applying Simulation and Reliability to Vehicle Routing Problems with Stochastic Demands. 3 indexed citations

17.

Riera, Daniel, et al.. (2005). A Petri Nets-Based Scheduling Methodology for Multipurpose Batch Plants. SIMULATION. 81(9). 613–623. 1 indexed citations

18.

Piera, Miquel Àngel, et al.. (2003). A Petri nets based object oriented tool for the scheduling of stochastic flexible manufacturing systems. 2. 1091–1098. 7 indexed citations

19.

Riera, Daniel, Miquel Àngel Piera, & Antoni Guasch. (2002). CSP GENERATION FROM PETRI-NETS MODELS. IFAC Proceedings Volumes. 35(1). 241–246. 1 indexed citations

20.

Riera, Daniel & Neil Yorke‐Smith. (2002). An Improved Hybrid Model for the Generic Hoist Scheduling Problem. Annals of Operations Research. 115(1-4). 173–191. 17 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.

Explore authors with similar magnitude of impact