Fernando Acebes

690 citations
23 papers · 424 · h-index 11

Impact in

Papers in

Fernando Acebes

19 papers receiving 403 citations

Peers

Fernando Acebes
Comparison fields: 5 of 63
  • Management Science and Operations Research 246
  • Industrial and Manufacturing Engineering 101
  • Building and Construction 117
  • Strategy and Management 117
  • Statistics, Probability and Uncertainty 44
Replace David Poza with:
David Poza Spain
Iain Rillie South Africa
Sijun Bai China
Anabela Tereso Portugal
Hala Nassereddine United States
Bipradas Bairagi India
Jerzy Pasławski Poland
Homayoun Khamooshi United States
Mehmet Emre Bayraktar United States
Álvaro Costa Portugal
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Citations per field
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Citations per year

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-authors

The 6 scholars most cited alongside Fernando Acebes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fernando Acebes Line = papers co-authored together Fernando Acebes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013100
2 201574
3 202148
4 201344
5 202036
6 202023
7 202116
8 202013
9 202212
10 202011
11 201410
12 20219
13 20247
14 20207
15 20236
16 20203
17 20242
18 20222
19
Estudio del Schedule Control Index para el control integrado de plazo en Proyectos.
20101
20 20240

About Fernando Acebes

Fernando Acebes is a scholar working on Management Science and Operations Research, Building and Construction, Industrial and Manufacturing Engineering, Strategy and Management and Automotive Engineering, having authored 23 papers that have together received 424 indexed citations. Recurring topics across this work include Construction Project Management and Performance (12 papers), Resource-Constrained Project Scheduling (9 papers), BIM and Construction Integration (4 papers), Risk and Safety Analysis (3 papers), Big Data and Business Intelligence (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Software Engineering Techniques and Practices (2 papers) and Digital Transformation in Industry (2 papers). The work is most often cited by research in Management Science and Operations Research (246 citations), Industrial and Manufacturing Engineering (101 citations), Building and Construction (117 citations), Strategy and Management (117 citations) and Statistics, Probability and Uncertainty (44 citations). Fernando Acebes has collaborated with scholars based in Spain. Frequent co-authors include Javier Pajares, Adolfo López‐Paredes, José Manuel Galán, David Poza, María Pereda and Natalia Martín‐Cruz. Their work appears in journals such as International Journal of Project Management, Sustainability, International Journal of Simulation Modelling, Journal of Business Research and Humanities and Social Sciences Communications.

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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