Jorge Ejarque

1.2k total citations
47 papers, 508 citations indexed

About

Jorge Ejarque is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management. According to data from OpenAlex, Jorge Ejarque has authored 47 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Networks and Communications, 37 papers in Information Systems and 16 papers in Information Systems and Management. Recurrent topics in Jorge Ejarque's work include Cloud Computing and Resource Management (30 papers), Distributed and Parallel Computing Systems (26 papers) and Scientific Computing and Data Management (16 papers). Jorge Ejarque is often cited by papers focused on Cloud Computing and Resource Management (30 papers), Distributed and Parallel Computing Systems (26 papers) and Scientific Computing and Data Management (16 papers). Jorge Ejarque collaborates with scholars based in Spain, United States and Hungary. Jorge Ejarque's co-authors include Rosa M. Badía, Raül Sirvent, Francesc Lordan, Daniele Lezzi, J. Álvarez Cid-Fuentes, Jordi Guitart, Javier Conejero, Enric Tejedor, Íñigo Goiri and Fabrizio Marozzo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Structures and Future Generation Computer Systems.

In The Last Decade

Jorge Ejarque

45 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Ejarque Spain 10 416 377 83 71 44 47 508
Miguel G. Xavier Brazil 7 438 1.1× 410 1.1× 65 0.8× 25 0.4× 38 0.9× 20 531
Nezih Yigitbasi Netherlands 11 554 1.3× 550 1.5× 62 0.7× 68 1.0× 63 1.4× 17 628
Guilherme Galante Brazil 6 285 0.7× 276 0.7× 37 0.4× 26 0.4× 44 1.0× 22 346
Bogdan Nicolae United States 14 498 1.2× 332 0.9× 120 1.4× 76 1.1× 88 2.0× 66 589
Hamid Reza Faragardi Sweden 13 396 1.0× 272 0.7× 75 0.9× 27 0.4× 42 1.0× 35 492
Roberto R. Expósito Spain 12 254 0.6× 213 0.6× 71 0.9× 41 0.6× 83 1.9× 35 407
Mohsine Eleuldj Morocco 5 304 0.7× 242 0.6× 33 0.4× 30 0.4× 64 1.5× 15 404
Marcelo Veiga Neves Brazil 6 372 0.9× 332 0.9× 69 0.8× 23 0.3× 40 0.9× 9 454
Adam Manzanares United States 13 632 1.5× 519 1.4× 232 2.8× 27 0.4× 43 1.0× 33 699
Robert A. van Engelen United States 8 243 0.6× 154 0.4× 103 1.2× 54 0.8× 120 2.7× 20 387

Countries citing papers authored by Jorge Ejarque

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Ejarque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Ejarque

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Ejarque. A scholar is included among the top collaborators of Jorge Ejarque 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 Jorge Ejarque. Jorge Ejarque 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.
Hernández, J.A., Riccardo Rossi, Stefan Boschert, et al.. (2025). Parallel reduced-order modeling for digital twins using high-performance computing workflows. Computers & Structures. 316. 107867–107867. 1 indexed citations
2.
Marozzo, Fabrizio, et al.. (2024). Block size estimation for data partitioning in HPC applications using machine learning techniques. Journal Of Big Data. 11(1). 1 indexed citations
3.
Ejarque, Jorge, Hatem Ltaief, Ying Sun, et al.. (2024). Portability and scalability evaluation of large-scale statistical modeling and prediction software through HPC-ready containers. Future Generation Computer Systems. 161. 248–258.
4.
Ejarque, Jorge, et al.. (2024). Managing Workflow Malleability in Urgent Computing for Earthquake Alerts. QRU Quaderns de Recerca en Urbanisme. 2064–2071. 2 indexed citations
5.
Ejarque, Jorge, et al.. (2023). DDS: integrating data analytics transformations in task-based workflows. SHILAP Revista de lepidopterología. 2. 66–66. 1 indexed citations
6.
Ejarque, Jorge, et al.. (2022). DDS: integrating data analytics transformations in task-based workflows. SHILAP Revista de lepidopterología. 2. 66–66.
7.
Ejarque, Jorge, et al.. (2022). Storage-Heterogeneity Aware Task-based Programming Models to Optimize I/O Intensive Applications. IEEE Transactions on Parallel and Distributed Systems. 33(12). 3589–3599. 7 indexed citations
8.
Lordan, Francesc, et al.. (2021). A survey on the Distributed Computing stack. Computer Science Review. 42. 100422–100422. 7 indexed citations
9.
Lordan, Francesc, et al.. (2021). Accelerated execution via eager-release of dependencies in task-based workflows. The International Journal of High Performance Computing Applications. 35(4). 325–343. 2 indexed citations
10.
Ejarque, Jorge, et al.. (2021). Towards enabling I/O awareness in task-based programming models. Future Generation Computer Systems. 121. 74–89. 1 indexed citations
11.
Ejarque, Jorge, et al.. (2020). AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python. The International Journal of High Performance Computing Applications. 34(6). 659–675. 2 indexed citations
12.
Ejarque, Jorge, et al.. (2019). Heterogeneous Hierarchical Workflow Composition. Computing in Science & Engineering. 21(4). 76–86. 9 indexed citations
13.
Ejarque, Jorge, et al.. (2018). Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 73. 47–47. 3 indexed citations
14.
Lordan, Francesc, Jorge Ejarque, Raül Sirvent, & Rosa M. Badía. (2016). Energy-Aware Programming Model for Distributed Infrastructures. 18. 413–417. 7 indexed citations
15.
Sadjadi, S. Masoud, et al.. (2012). Cloud Application Resource Mapping and Scaling Based on Monitoring of QoS Constraints.. Software Engineering and Knowledge Engineering. 88–93. 4 indexed citations
16.
Ejarque, Jorge, et al.. (2012). Service Orchestration on a Heterogeneous Cloud Federation. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 31(1). 45–60. 1 indexed citations
17.
Micsik, András, Jorge Ejarque, & Rosa M. Badía. (2010). A semantic toolkit for scheduling in cloud and grid platforms. SZTAKI Publication Repository (Hungarian Academy of Sciences). 2010. 30–31. 1 indexed citations
18.
Ejarque, Jorge, et al.. (2010). Semantic resource allocation with historical data based predictions. SZTAKI Publication Repository (Hungarian Academy of Sciences). 13 indexed citations
19.
Sadjadi, S. Masoud, et al.. (2007). Improving Separation of Concerns in the Development of Scientific Applications. Software Engineering and Knowledge Engineering. 456–461. 1 indexed citations
20.
Ejarque, Jorge, et al.. (2000). [Sciatic nerve block. Description of a new posterior approach in the gluteal area].. PubMed. 47(6). 245–51. 2 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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