Sergio Iserte

416 total citations
34 papers, 195 citations indexed

About

Sergio Iserte is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Sergio Iserte has authored 34 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 18 papers in Hardware and Architecture and 14 papers in Information Systems. Recurrent topics in Sergio Iserte's work include Distributed and Parallel Computing Systems (17 papers), Parallel Computing and Optimization Techniques (17 papers) and Cloud Computing and Resource Management (14 papers). Sergio Iserte is often cited by papers focused on Distributed and Parallel Computing Systems (17 papers), Parallel Computing and Optimization Techniques (17 papers) and Cloud Computing and Resource Management (14 papers). Sergio Iserte collaborates with scholars based in Spain, Poland and Germany. Sergio Iserte's co-authors include Carlos Reaño, Federico Silla, Rafael Mayo, Enrique S. Quintana–Ort́ı, Antonio J. Peña, Maribel Castillo, Adrián Castelló, José I. Aliaga, Vicenç Beltrán and Raúl Martínez‐Cuenca and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computers and Future Generation Computer Systems.

In The Last Decade

Sergio Iserte

30 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Iserte Spain 9 148 101 88 12 11 34 195
Verdi March Singapore 9 241 1.6× 169 1.7× 64 0.7× 35 2.9× 18 1.6× 20 278
Holger Brunst Germany 8 176 1.2× 53 0.5× 150 1.7× 26 2.2× 14 1.3× 24 210
Stéphanie Moreaud France 6 293 2.0× 82 0.8× 278 3.2× 21 1.8× 11 1.0× 6 330
William Arcand United States 5 82 0.6× 64 0.6× 24 0.3× 9 0.8× 26 2.4× 10 129
Josef Bacik United States 4 291 2.0× 110 1.1× 121 1.4× 25 2.1× 6 0.5× 7 310
Jérôme Clet-Ortega France 2 221 1.5× 84 0.8× 214 2.4× 15 1.3× 11 1.0× 2 254
Xingbo Wu United States 7 222 1.5× 104 1.0× 79 0.9× 12 1.0× 10 0.9× 21 239
Luiz DeRose United States 9 147 1.0× 63 0.6× 130 1.5× 34 2.8× 8 0.7× 25 189
Siddharth Gupta United States 10 183 1.2× 69 0.7× 93 1.1× 82 6.8× 11 1.0× 22 251
Yizhou Shan United States 6 251 1.7× 184 1.8× 134 1.5× 24 2.0× 15 1.4× 12 278

Countries citing papers authored by Sergio Iserte

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Iserte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Iserte

This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Iserte. A scholar is included among the top collaborators of Sergio Iserte 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 Sergio Iserte. Sergio Iserte 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.
Iserte, Sergio, et al.. (2025). Resource optimization with MPI process malleability for dynamic workloads in HPC clusters. Future Generation Computer Systems. 174. 107949–107949.
2.
Huber, D. M., Sergio Iserte, Martin Schreiber, Antonio J. Peña, & Martin Schulz. (2025). Bridging the Gap Between Genericity and Programmability of Dynamic Resources in HPC. SPIRE - Sciences Po Institutional REpository. 1–11.
5.
Aliaga, José I., et al.. (2024). Proteo: a framework for the generation and evaluation of malleable MPI applications. The Journal of Supercomputing. 80(15). 23083–23119. 2 indexed citations
6.
Aliaga, José I., et al.. (2023). Efficient data redistribution for malleable applications. QRU Quaderns de Recerca en Urbanisme. 416–426. 2 indexed citations
7.
Aliaga, José I., et al.. (2023). Dynamic spawning of MPI processes applied to malleability. The International Journal of High Performance Computing Applications. 38(2). 69–93. 5 indexed citations
8.
Martínez‐Cuenca, Raúl, et al.. (2023). On the use of deep learning and computational fluid dynamics for the estimation of uniform momentum source components of propellers. iScience. 26(12). 108297–108297. 1 indexed citations
9.
Aliaga, José I., et al.. (2023). Configurable synthetic application for studying malleability in HPC. UPCommons institutional repository (Universitat Politècnica de Catalunya). 128–135. 1 indexed citations
10.
Aliaga, José I., et al.. (2022). A Survey on Malleability Solutions for High-Performance Distributed Computing. Applied Sciences. 12(10). 5231–5231. 8 indexed citations
11.
Iserte, Sergio, et al.. (2022). Accelerating urban scale simulations leveraging local spatial 3D structure. Journal of Computational Science. 62. 101741–101741. 8 indexed citations
12.
Iserte, Sergio, Rafael Mayo, Enrique S. Quintana–Ort́ı, & Antonio J. Peña. (2020). DMRlib: Easy-Coding and Efficient Resource Management for Job Malleability. IEEE Transactions on Computers. 70(9). 1443–1457. 12 indexed citations
13.
Iserte, Sergio, et al.. (2019). An study of the effect of process malleability in the energy efficiency on GPU-based clusters. The Journal of Supercomputing. 76(1). 255–274. 9 indexed citations
14.
Belloch, Jose A., Adrián Castelló, & Sergio Iserte. (2018). Accessible C-programming course from scratch using a MOOC platform without limitations. RiuNet (Politechnical University of Valencia). 1 indexed citations
15.
Iserte, Sergio, et al.. (2018). Dynamic reconfiguration of noniterative scientific applications: A case study with HPG aligner. The International Journal of High Performance Computing Applications. 33(5). 804–816. 7 indexed citations
16.
Silla, Federico, et al.. (2017). On the benefits of the remote GPU virtualization mechanism: The rCUDA case. Concurrency and Computation Practice and Experience. 29(13). 18 indexed citations
17.
Iserte, Sergio, Rafael Mayo, Enrique S. Quintana–Ort́ı, Vicenç Beltrán, & Antonio J. Peña. (2017). Efficient Scalable Computing through Flexible Applications and Adaptive Workloads. QRU Quaderns de Recerca en Urbanisme. 180–189. 16 indexed citations
18.
Iserte, Sergio, et al.. (2016). Increasing the Performance of Data Centers by Combining Remote GPU Virtualization with Slurm. Repositori UJI (Universitat Jaume I). 40. 98–101. 18 indexed citations
19.
Iserte, Sergio, Adrián Castelló, Rafael Mayo, et al.. (2014). SLURM Support for Remote GPU Virtualization: Implementation and Performance Study. Research Portal (Queen's University Belfast). 318–325. 19 indexed citations
20.
Dolz, Manuel F., et al.. (2012). A simulator to assess energy saving strategies and policies in HPC workloads. ACM SIGOPS Operating Systems Review. 46(2). 2–9. 3 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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