Fernando Acebes

690 total citations
23 papers, 424 citations indexed

About

Fernando Acebes is a scholar working on Management Science and Operations Research, Building and Construction and Industrial and Manufacturing Engineering. According to data from OpenAlex, Fernando Acebes has authored 23 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Science and Operations Research, 5 papers in Building and Construction and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Fernando Acebes's work include Construction Project Management and Performance (12 papers), Resource-Constrained Project Scheduling (9 papers) and BIM and Construction Integration (4 papers). Fernando Acebes is often cited by papers focused on Construction Project Management and Performance (12 papers), Resource-Constrained Project Scheduling (9 papers) and BIM and Construction Integration (4 papers). Fernando Acebes collaborates with scholars based in Spain. Fernando Acebes's co-authors include Javier Pajares, Adolfo López‐Paredes, José Manuel Galán, David Poza, María Pereda and Natalia Martín‐Cruz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Business Research and International Journal of Production Economics.

In The Last Decade

Fernando Acebes

19 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Acebes Spain 11 246 117 117 101 44 23 424
David Poza Spain 11 159 0.6× 85 0.7× 84 0.7× 119 1.2× 18 0.4× 23 344
Iain Rillie United Kingdom 8 149 0.6× 75 0.6× 194 1.7× 75 0.7× 47 1.1× 12 397
Sijun Bai China 9 259 1.1× 61 0.5× 81 0.7× 82 0.8× 29 0.7× 32 391
Hala Nassereddine United States 12 122 0.5× 73 0.6× 244 2.1× 126 1.2× 31 0.7× 72 481
Homayoun Khamooshi United States 9 247 1.0× 69 0.6× 116 1.0× 30 0.3× 30 0.7× 14 325
Anabela Tereso Portugal 11 241 1.0× 79 0.7× 89 0.8× 70 0.7× 12 0.3× 76 403
Jerzy Pasławski Poland 11 135 0.5× 61 0.5× 162 1.4× 62 0.6× 7 0.2× 57 361
Nariman Ghodrati New Zealand 8 168 0.7× 71 0.6× 258 2.2× 33 0.3× 39 0.9× 11 468
Bipradas Bairagi India 10 257 1.0× 86 0.7× 50 0.4× 132 1.3× 11 0.3× 20 415
Mehmet Emre Bayraktar United States 12 181 0.7× 129 1.1× 194 1.7× 16 0.2× 34 0.8× 36 436

Countries citing papers authored by Fernando Acebes

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Acebes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Acebes

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Acebes. A scholar is included among the top collaborators of Fernando Acebes 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 Fernando Acebes. Fernando Acebes 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.
Acebes, Fernando, et al.. (2025). Simulación Monte Carlo como herramienta para priorizar los riesgos de los proyectos. Dirección y Organización. 43–56.
2.
Acebes, Fernando, et al.. (2024). Análisis cuantitativo de riesgos utilizando "MCSimulRisk" como herramienta didáctica. Dirección y Organización. 87–99. 2 indexed citations
3.
Acebes, Fernando, et al.. (2024). Beyond probability-impact matrices in project risk management: A quantitative methodology for risk prioritisation. Humanities and Social Sciences Communications. 11(1). 7 indexed citations
4.
Acebes, Fernando, et al.. (2024). MCSimulRisk: an Educational Tool for Quantitative Risk Analysis. SNE Simulation Notes Europe. 34(3). 149–153.
5.
Acebes, Fernando, et al.. (2024). Simulation-Based Approach for Multiproject Scheduling Based on Composite Priority Rules. International Journal of Simulation Modelling. 23(1). 29–40.
6.
7.
Poza, David, et al.. (2022). A Review of Tools and Techniques in Uncertainty Management. 233–243. 2 indexed citations
8.
Acebes, Fernando, et al.. (2022). Impact of aleatoric, stochastic and epistemic uncertainties on project cost contingency reserves. International Journal of Production Economics. 253. 108626–108626. 12 indexed citations
9.
López‐Paredes, Adolfo, et al.. (2021). Building and development of an organizational competence for digital transformation in SMEs. Journal of Industrial Engineering and Management. 14(1). 15–15. 48 indexed citations
10.
Acebes, Fernando, et al.. (2021). Stochastic Earned Duration Analysis for Project Schedule Management. Engineering. 9. 148–161. 16 indexed citations
11.
Acebes, Fernando, et al.. (2020). Reusing Newspaper Kiosks for Last-Mile Delivery in Urban Areas. Sustainability. 12(22). 9770–9770. 23 indexed citations
12.
Poza, David, et al.. (2020). New Business Models for Sustainable Spare Parts Logistics: A Case Study. Sustainability. 12(8). 3071–3071. 36 indexed citations
13.
López‐Paredes, Adolfo, et al.. (2020). Aplicabilidad de los Modelos de Madurez de Business Intelligence a PYMES. Dirección y Organización. 31–45. 3 indexed citations
14.
Poza, David, et al.. (2020). Portfolio scheduling: an integrative approach of limited resources and project prioritization. SHILAP Revista de lepidopterología. 103–116. 11 indexed citations
15.
Acebes, Fernando, et al.. (2020). Project risk management from the bottom-up: Activity Risk Index. Central European Journal of Operations Research. 29(4). 1375–1396. 7 indexed citations
16.
Acebes, Fernando, et al.. (2020). Production planning in 3D printing factories. SHILAP Revista de lepidopterología. 8(2). 75–75. 13 indexed citations
17.
Acebes, Fernando, María Pereda, David Poza, Javier Pajares, & José Manuel Galán. (2015). Stochastic earned value analysis using Monte Carlo simulation and statistical learning techniques. International Journal of Project Management. 33(7). 1597–1609. 74 indexed citations
18.
Acebes, Fernando, Javier Pajares, José Manuel Galán, & Adolfo López‐Paredes. (2014). Exploring the Influence of Seasonal Uncertainty in Project Risk Management. Procedia - Social and Behavioral Sciences. 119. 329–338. 10 indexed citations
19.
Acebes, Fernando, Javier Pajares, José Manuel Galán, & Adolfo López‐Paredes. (2013). A new approach for project control under uncertainty. Going back to the basics. International Journal of Project Management. 32(3). 423–434. 100 indexed citations
20.
Acebes, Fernando, Javier Pajares, José Manuel Galán, & Adolfo López‐Paredes. (2013). Beyond Earned Value Management: A Graphical Framework for Integrated Cost, Schedule and Risk Monitoring. Procedia - Social and Behavioral Sciences. 74. 181–189. 44 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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