Guillermo Fuertes

1.2k total citations
49 papers, 700 citations indexed

About

Guillermo Fuertes is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Guillermo Fuertes has authored 49 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Industrial and Manufacturing Engineering, 9 papers in Artificial Intelligence and 8 papers in Management Information Systems. Recurrent topics in Guillermo Fuertes's work include Digital Transformation in Industry (5 papers), Sustainable Supply Chain Management (5 papers) and Quality and Supply Management (4 papers). Guillermo Fuertes is often cited by papers focused on Digital Transformation in Industry (5 papers), Sustainable Supply Chain Management (5 papers) and Quality and Supply Management (4 papers). Guillermo Fuertes collaborates with scholars based in Chile, Colombia and France. Guillermo Fuertes's co-authors include Manuel Vargas, Jorge Sabattin, Miguel Alfaro, Rodrigo Ternero, Raúl Carrasco, Ismael Soto, Sebastián Gutiérrez, Claudia Durán, Juan Pedro Sepúlveda-Rojas and Luis Quezada and has published in prestigious journals such as PLoS ONE, IEEE Access and Sustainability.

In The Last Decade

Guillermo Fuertes

44 papers receiving 661 citations

Peers

Guillermo Fuertes
Guillermo Fuertes
Citations per year, relative to Guillermo Fuertes Guillermo Fuertes (= 1×) peers Manuel Vargas

Countries citing papers authored by Guillermo Fuertes

Since Specialization
Citations

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

Fields of papers citing papers by Guillermo Fuertes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillermo Fuertes

This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Fuertes. A scholar is included among the top collaborators of Guillermo Fuertes 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 Guillermo Fuertes. Guillermo Fuertes 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
3.
Ternero, Rodrigo, Guillermo Fuertes, Miguel Alfaro, et al.. (2024). Artificial intelligence methodologies for building evacuation plan modeling. Journal of Building Engineering. 96. 110408–110408. 4 indexed citations
4.
Vargas, Manuel, et al.. (2024). Process Optimization in a Condiment SME through Improved Lean Six Sigma with a Surface Tension Neural Network. Processes. 12(9). 2001–2001. 3 indexed citations
5.
Quezada, Luis, et al.. (2024). Methodology to Generate Strategic Manufacturing Indicators to Support Decision-Making – Case Study of a Food Company. Engineering Management Journal. 38(1). 3–15. 1 indexed citations
6.
Alfaro, Miguel, et al.. (2024). Biomathematical model to analyze the transmission dynamics of Covid-19: Case study, Santiago de Cali, Colombia. PLoS ONE. 19(12). e0311414–e0311414. 1 indexed citations
7.
Ternero, Rodrigo, et al.. (2023). INVENTORY MANAGEMENT WITH STOCHASTIC DEMAND: CASE STUDY OF A MEDICAL EQUIPMENT COMPANY. The South African Journal of Industrial Engineering. 34(1).
8.
Rubio-Terrés, Carlos, et al.. (2023). Multivariate analysis in data science for the geospatial distribution of the breast cancer mortality rate in Colombia. Frontiers in Oncology. 12. 1055655–1055655. 3 indexed citations
9.
Alfaro, Miguel, Guillermo Fuertes, Manuel Vargas, et al.. (2023). Framework for the Strategic Adoption of Industry 4.0: A Focus on Intelligent Systems. Processes. 11(10). 2973–2973. 9 indexed citations
10.
Palominos, Pedro, Miguel Alfaro, Guillermo Fuertes, et al.. (2022). Chaotic Honeybees Optimization Algorithms Approach for Traveling Salesperson Problem. Complexity. 2022(1). 2 indexed citations
11.
Alfaro, Miguel, Manuel Vargas, Guillermo Fuertes, et al.. (2021). National Health Systems and COVID-19 Death Toll Doubling Time. Frontiers in Public Health. 9. 669038–669038. 13 indexed citations
12.
Alfaro, Miguel, et al.. (2021). Vehicle Routing Problem with Deadline and Stochastic Service Times: Case of the Ice Cream Industry in Santiago City of Chile. Mathematics. 9(21). 2750–2750. 9 indexed citations
13.
Quezada, Luis, Miguel Alfaro, Guillermo Fuertes, et al.. (2020). Methodological Proposals for the Development of Services in a Smart City: A Literature Review. Sustainability. 12(24). 10249–10249. 13 indexed citations
14.
Fuertes, Guillermo, et al.. (2019). Chaotic genetic algorithm and the effects of entropy in performance optimization. Chaos An Interdisciplinary Journal of Nonlinear Science. 29(1). 13132–13132. 25 indexed citations
15.
Fuertes, Guillermo, et al.. (2019). Measure of Semantic Likeness Among Business Process Activities in a Telecommunication Company. IEEE Access. 8. 32332–32340. 4 indexed citations
16.
Fuertes, Guillermo, et al.. (2018). Optimization model for location of RFID antennas in a supply chain. 203–209. 6 indexed citations
17.
Carrasco, Raúl, et al.. (2018). Predictive analysis of energy consumption in minining for making decisions. 270–275. 3 indexed citations
18.
Alfaro, Miguel, et al.. (2018). Technological prospective of manufacturing for the year 2030. 1–6. 1 indexed citations
19.
Vargas, Manuel, et al.. (2018). PBL and CDIO for engineering education: A polynesian canoes case study. 1–5. 1 indexed citations
20.
Fuertes, Guillermo, et al.. (2016). Intelligent Packaging Systems: Sensors and Nanosensors to Monitor Food Quality and Safety. Journal of Sensors. 2016. 1–8. 156 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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