Paolo Priore

1.4k total citations
30 papers, 1000 citations indexed

About

Paolo Priore is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Management Information Systems. According to data from OpenAlex, Paolo Priore has authored 30 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Industrial and Manufacturing Engineering, 8 papers in Management Science and Operations Research and 6 papers in Management Information Systems. Recurrent topics in Paolo Priore's work include Scheduling and Optimization Algorithms (16 papers), Advanced Manufacturing and Logistics Optimization (9 papers) and Multi-Criteria Decision Making (5 papers). Paolo Priore is often cited by papers focused on Scheduling and Optimization Algorithms (16 papers), Advanced Manufacturing and Logistics Optimization (9 papers) and Multi-Criteria Decision Making (5 papers). Paolo Priore collaborates with scholars based in Spain and United Kingdom. Paolo Priore's co-authors include Javier Puente, David de la Fuente, Alberto Gómez Gómez, Raúl Pino Díez, Rafael Rosillo, Borja Ponte, Isabel Fernández and Rubén Cuevas and has published in prestigious journals such as Sustainability, International Journal of Production Research and Applied Soft Computing.

In The Last Decade

Paolo Priore

30 papers receiving 930 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paolo Priore Spain 14 449 253 195 134 124 30 1000
Adedeji B. Badiru United States 20 311 0.7× 357 1.4× 201 1.0× 138 1.0× 125 1.0× 118 1.3k
Gonçalo Figueira Portugal 16 594 1.3× 204 0.8× 242 1.2× 174 1.3× 210 1.7× 28 1.2k
José Arnaldo Barra Montevechi Brazil 19 511 1.1× 361 1.4× 267 1.4× 160 1.2× 68 0.5× 90 1.2k
Michael P. Brundage United States 19 420 0.9× 101 0.4× 142 0.7× 165 1.2× 192 1.5× 51 1.0k
V.S.S. Yadavalli South Africa 19 170 0.4× 150 0.6× 262 1.3× 98 0.7× 128 1.0× 115 1.0k
Vahid Hajipour Iran 20 343 0.8× 160 0.6× 268 1.4× 219 1.6× 113 0.9× 48 1.0k
Brenda Cheang Hong Kong 15 399 0.9× 339 1.3× 93 0.5× 68 0.5× 81 0.7× 21 948
Javier Panadero Spain 16 653 1.5× 189 0.7× 153 0.8× 173 1.3× 102 0.8× 103 1.2k
Hyunbo Cho South Korea 18 513 1.1× 188 0.7× 282 1.4× 190 1.4× 129 1.0× 83 1.2k
Hong Zhou China 17 497 1.1× 119 0.5× 200 1.0× 213 1.6× 134 1.1× 96 1.1k

Countries citing papers authored by Paolo Priore

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Priore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Priore

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Priore. A scholar is included among the top collaborators of Paolo Priore 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 Paolo Priore. Paolo Priore 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.
Puente, Javier, Isabel Fernández, Alberto Gómez Gómez, & Paolo Priore. (2020). Integrating Sustainability in the Quality Assessment of EHEA Institutions: A Hybrid FDEMATEL-ANP-FIS Model. Sustainability. 12(5). 1707–1707. 19 indexed citations
2.
Gómez, Alberto Gómez, et al.. (2018). Solving multi-objective rescheduling problems in dynamic permutation flow shop environments with disruptions. International Journal of Production Research. 56(19). 6363–6377. 50 indexed citations
3.
Puente, Javier, et al.. (2018). Suitability of a Consensual Fuzzy Inference System to Evaluate Suppliers of Strategic Products. Symmetry. 10(1). 22–22. 11 indexed citations
4.
Priore, Paolo, Borja Ponte, Javier Puente, & Alberto Gómez Gómez. (2018). Learning-based scheduling of flexible manufacturing systems using ensemble methods. Computers & Industrial Engineering. 126. 282–291. 81 indexed citations
5.
Priore, Paolo, Alberto Gómez Gómez, Raúl Pino Díez, & Rafael Rosillo. (2014). Dynamic scheduling of manufacturing systems using machine learning: An updated review. Artificial intelligence for engineering design analysis and manufacturing. 28(1). 83–97. 72 indexed citations
6.
Ponte, Borja, David de la Fuente, Raúl Pino Díez, & Paolo Priore. (2013). Multiagent system for intelligent Water Demand Management. Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte). 1–7. 4 indexed citations
7.
Fuente, David de la, et al.. (2013). Zoning by k-Means over a Large Data Set. Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte). 13. 65–69. 1 indexed citations
8.
Puente, Javier, et al.. (2013). Supplier selection model for commodities procurement. Optimised assessment using a fuzzy decision support system. Applied Soft Computing. 13(4). 1939–1951. 23 indexed citations
9.
Díez, Raúl Pino, et al.. (2010). Supply chain modelling using a multi‐agent system. Journal of Advances in Management Research. 7(2). 149–162. 8 indexed citations
10.
Gómez, Alberto Gómez, et al.. (2008). New Metaheuristic for the Job Shop Scheduling Problem with PSO.. International Conference on Artificial Intelligence. 552–553. 1 indexed citations
11.
Puente, Javier, Alberto Gómez Gómez, Isabel Fernández, & Paolo Priore. (2008). Medical doctor rostering problem in a hospital emergency department by means of genetic algorithms. Computers & Industrial Engineering. 56(4). 1232–1242. 63 indexed citations
12.
Díez, Raúl Pino, et al.. (2007). Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks. Engineering Applications of Artificial Intelligence. 21(1). 53–62. 103 indexed citations
13.
Gómez, Alberto Gómez, David de la Fuente, Paolo Priore, & Javier Puente. (2005). Heuristic to optimize L-guillotine cutting operations. Artificial intelligence for engineering design analysis and manufacturing. 19(1). 33–38. 2 indexed citations
14.
Priore, Paolo, David de la Fuente, Raúl Pino Díez, & Javier Puente. (2003). Dynamic scheduling of flexible manufacturing systems using neural networks and inductive learning. Integrated Manufacturing Systems. 14(2). 160–168. 11 indexed citations
15.
Priore, Paolo, David de la Fuente, Raúl Pino Díez, & Javier Puente. (2002). Utilización del razonamiento basado en casos en la toma de decisiones. Aplicación en un problema de secuenciación. Dirección y Organización. 1 indexed citations
16.
Puente, Javier, David de la Fuente, Paolo Priore, & Raúl Pino Díez. (2002). Abc classification with uncertain data. a fuzzy model vs. a probabilistic model. Applied Artificial Intelligence. 16(6). 443–456. 17 indexed citations
17.
Puente, Javier, Raúl Pino Díez, Paolo Priore, & David de la Fuente. (2002). A decision support system for applying failure mode and effects analysis. International Journal of Quality & Reliability Management. 19(2). 137–150. 136 indexed citations
18.
Priore, Paolo, David de la Fuente, Alberto Gómez Gómez, & Javier Puente. (2001). A review of machine learning in dynamic scheduling of flexible manufacturing systems. Artificial intelligence for engineering design analysis and manufacturing. 15(3). 251–263. 70 indexed citations
19.
Priore, Paolo, David de la Fuente, & Raúl Pino Díez. (2001). Learning-based scheduling of flexible manufacturing systems using case-based reasoning. Applied Artificial Intelligence. 15(10). 949–963. 11 indexed citations
20.
Priore, Paolo, et al.. (1998). Manufacturing Systems Scheduling through Machine Learning.. Natural Computing. 914–917. 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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