Oskar Casquero

544 total citations
28 papers, 362 citations indexed

About

Oskar Casquero is a scholar working on Industrial and Manufacturing Engineering, Computer Science Applications and Computer Networks and Communications. According to data from OpenAlex, Oskar Casquero has authored 28 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Industrial and Manufacturing Engineering, 9 papers in Computer Science Applications and 7 papers in Computer Networks and Communications. Recurrent topics in Oskar Casquero's work include Flexible and Reconfigurable Manufacturing Systems (10 papers), Digital Transformation in Industry (9 papers) and IoT and Edge/Fog Computing (6 papers). Oskar Casquero is often cited by papers focused on Flexible and Reconfigurable Manufacturing Systems (10 papers), Digital Transformation in Industry (9 papers) and IoT and Edge/Fog Computing (6 papers). Oskar Casquero collaborates with scholars based in Spain, Portugal and Norway. Oskar Casquero's co-authors include Manuel Benito, Marga Marcos, Mikel Alberdi, Javier Portillo, Izaskun Garrido, Aitor J. Garrido, Modesto Amundarain, Manuel De la Sen, Elísabet Estévez and D. Orive and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Industrial Informatics.

In The Last Decade

Oskar Casquero

26 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oskar Casquero Spain 10 108 82 70 64 55 28 362
Julián Estévez Spain 9 76 0.7× 29 0.4× 25 0.4× 15 0.2× 21 0.4× 20 282
Xiaoyan Gong China 10 57 0.5× 39 0.5× 16 0.2× 7 0.1× 21 0.4× 44 318
Joan Navarro Spain 11 33 0.3× 50 0.6× 26 0.4× 19 0.3× 6 0.1× 52 400
Mauro Figueiredo Portugal 12 25 0.2× 70 0.9× 42 0.6× 16 0.3× 31 0.6× 46 318
Ricardo Queirós Portugal 11 200 1.9× 84 1.0× 41 0.6× 3 0.0× 116 2.1× 57 396
Achmad Basuki Indonesia 10 14 0.1× 92 1.1× 21 0.3× 11 0.2× 33 0.6× 127 392
Saeid Pourroostaei Ardakani China 11 66 0.6× 47 0.6× 21 0.3× 7 0.1× 21 0.4× 32 318
Giacomo Dabisias Italy 3 78 0.7× 37 0.5× 39 0.6× 3 0.0× 60 1.1× 5 302
Yousra Chtouki Morocco 4 22 0.2× 39 0.5× 30 0.4× 12 0.2× 7 0.1× 13 210
Hicham Mouncif Morocco 11 26 0.2× 17 0.2× 11 0.2× 27 0.4× 13 0.2× 33 315

Countries citing papers authored by Oskar Casquero

Since Specialization
Citations

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

Fields of papers citing papers by Oskar Casquero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oskar Casquero

This figure shows the co-authorship network connecting the top 25 collaborators of Oskar Casquero. A scholar is included among the top collaborators of Oskar Casquero 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 Oskar Casquero. Oskar Casquero 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.
Casquero, Oskar, et al.. (2025). Self-configurable Manufacturing Industrial Agents (SMIA): a standardized approach for digitizing manufacturing assets. Journal of Industrial Information Integration. 47. 100915–100915.
2.
Estévez, Elísabet, et al.. (2024). Enabling DevOps for Fog Applications in the Smart Manufacturing domain: A Model-Driven based Platform Engineering approach. Future Generation Computer Systems. 157. 360–375. 4 indexed citations
3.
Pérez, Federico, et al.. (2023). OpenFog-Compliant Application-Aware Platform: A Kubernetes Extension. Applied Sciences. 13(14). 8363–8363. 2 indexed citations
4.
Casquero, Oskar, et al.. (2023). An industrial agent-based customizable platform for I4.0 manufacturing systems. Computers in Industry. 146. 103859–103859. 15 indexed citations
5.
Estévez, Elísabet, et al.. (2022). A Methodological Approach for Integrating Physical Assets in Industry 4.0. IEEE Transactions on Industrial Informatics. 19(9). 9546–9554. 9 indexed citations
6.
Estévez, Elísabet, et al.. (2021). A Customizable Architecture for Application-Centric Management of Context-Aware Applications. IEEE Access. 10. 1603–1625. 4 indexed citations
7.
Casquero, Oskar, et al.. (2021). Towards the generic integration of agent-based AASs and Physical Assets: a four-layered architecture approach. RUJA. Institutional Repository of Scientific Production of the University of Jaén (University of Jaén). 1–6. 6 indexed citations
8.
Maurtua, Iñaki, et al.. (2021). A Generic ROS-Based Control Architecture for Pest Inspection and Treatment in Greenhouses Using a Mobile Manipulator. IEEE Access. 9. 94981–94995. 31 indexed citations
9.
Orive, D., et al.. (2020). A proposal to introduce digitalization technologies within the automation learning process. IFAC-PapersOnLine. 53(2). 17592–17597. 5 indexed citations
10.
Estévez, Elísabet, et al.. (2020). Using industrial standards for modeling flexible manufacturing systems. 41–46. 2 indexed citations
11.
Eguiraun, Harkaitz, Oskar Casquero, & Iciar Martı́nez. (2018). The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its Feed. Entropy. 20(2). 90–90. 5 indexed citations
12.
Eguiraun, Harkaitz, Oskar Casquero, Asgeir J. Sørensen, & Iciar Martı́nez. (2018). Reducing the Number of Individuals to Monitor Shoaling Fish Systems – Application of the Shannon Entropy to Construct a Biological Warning System Model. Frontiers in Physiology. 9. 493–493. 11 indexed citations
13.
Casquero, Oskar, et al.. (2014). Entornos de aprendizaje personales, educación superior y analítica del aprendizaje: un estudio sobre los efectos de la multiplicidad de servicios en las redes personales de estudiantes universitarios. Dialnet (Universidad de la Rioja). 26(4). 696–738. 1 indexed citations
14.
Casquero, Oskar, et al.. (2013). PLEs in Higher Education. RePEc: Research Papers in Economics. 4(4). 31–43. 5 indexed citations
15.
Casquero, Oskar, et al.. (2013). Reviewing the differences in size, composition and structure between the personal networks of high‐ and low‐performing students. British Journal of Educational Technology. 46(1). 16–31. 13 indexed citations
16.
Alberdi, Mikel, Modesto Amundarain, Aitor J. Garrido, et al.. (2011). Complementary Control of Oscillating Water Column-Based Wave Energy Conversion Plants to Improve the Instantaneous Power Output. IEEE Transactions on Energy Conversion. 26(4). 1021–1032. 74 indexed citations
17.
Casquero, Oskar, et al.. (2010). Strategy approach for eLearning 2.0 deployment in Universities. Digital Education Review. 18(18). 1–8. 5 indexed citations
18.
Casquero, Oskar, et al.. (2010). iPLE Network: an integrated eLearning 2.0 architecture from a university's perspective. Interactive Learning Environments. 18(3). 293–308. 69 indexed citations
19.
López, Jorge, Nelson Piedra, Janneth Chicaiza, et al.. (2010). Meta-analysis of the TAEE project applying social network analysis. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 37. 129–136. 4 indexed citations
20.
Casquero, Oskar, et al.. (2008). BILDU: Compile, Unify, Wrap, and Share Digital Learning Resources. Interdisciplinary Journal of e-Skills and Lifelong Learning. 4. 97–111. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026