Jesús Carretero

3.7k total citations
243 papers, 2.2k citations indexed

About

Jesús Carretero is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Jesús Carretero has authored 243 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 177 papers in Computer Networks and Communications, 85 papers in Information Systems and 78 papers in Hardware and Architecture. Recurrent topics in Jesús Carretero's work include Advanced Data Storage Technologies (103 papers), Distributed and Parallel Computing Systems (87 papers) and Parallel Computing and Optimization Techniques (70 papers). Jesús Carretero is often cited by papers focused on Advanced Data Storage Technologies (103 papers), Distributed and Parallel Computing Systems (87 papers) and Parallel Computing and Optimization Techniques (70 papers). Jesús Carretero collaborates with scholars based in Spain, Mexico and United States. Jesús Carretero's co-authors include Alberto Núñez, Alejandro Calderón, Soledad Escolar, Javier Garcia‐Blas, Maria-Cristina Marinescu, Javier Fernández, J. L. González-Compeán, Gabriel G. Castañé, David E Singh and Florin Isailă and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jesús Carretero

222 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesús Carretero Spain 22 1.3k 818 399 245 233 243 2.2k
Vijay K. Madisetti United States 20 801 0.6× 679 0.8× 241 0.6× 276 1.1× 418 1.8× 146 2.0k
Imtiaz Ahmad Kuwait 22 1.1k 0.8× 690 0.8× 313 0.8× 784 3.2× 484 2.1× 120 2.4k
Marcin Paprzycki Poland 17 705 0.5× 384 0.5× 139 0.3× 550 2.2× 126 0.5× 215 1.8k
Junaid Shuja Pakistan 29 1.4k 1.1× 918 1.1× 67 0.2× 372 1.5× 527 2.3× 68 2.1k
Jin Song Dong Singapore 24 621 0.5× 888 1.1× 134 0.3× 1.1k 4.6× 253 1.1× 216 2.9k
Weiwei Lin China 31 1.5k 1.2× 1.4k 1.7× 115 0.3× 761 3.1× 548 2.4× 172 3.0k
Xiaoyong Li China 24 1.2k 0.9× 969 1.2× 59 0.1× 680 2.8× 213 0.9× 226 2.4k
Abhishek Verma United States 19 1.6k 1.2× 1.6k 1.9× 232 0.6× 495 2.0× 129 0.6× 40 2.4k
Mohammad Ayoub Khan Saudi Arabia 20 617 0.5× 394 0.5× 63 0.2× 337 1.4× 412 1.8× 67 1.5k
Junwei Cao China 30 1.9k 1.4× 1.3k 1.6× 426 1.1× 428 1.7× 1.3k 5.4× 156 3.6k

Countries citing papers authored by Jesús Carretero

Since Specialization
Citations

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

Fields of papers citing papers by Jesús Carretero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesús Carretero

This figure shows the co-authorship network connecting the top 25 collaborators of Jesús Carretero. A scholar is included among the top collaborators of Jesús Carretero 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 Jesús Carretero. Jesús Carretero 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.
Belcastro, Loris, Jesús Carretero, & Domenico Talia. (2025). Edge-cloud solutions for big data analysis and distributed machine learning - 2. Future Generation Computer Systems. 167. 107745–107745.
2.
González-Compeán, J. L., et al.. (2025). OrbiFaaS: An orbital method to build Continuum Earth Observation Systems. Future Generation Computer Systems. 174. 107992–107992.
3.
Romero‐Gómez, Manuel, Javier Escalada, Jesús Carretero, et al.. (2025). Guía de práctica clínica multidisciplinar de manejo de la esteatosis hepática metabólica. Gastroenterología y Hepatología. 48(8). 502442–502442. 2 indexed citations
4.
Carretero, Jesús, et al.. (2025). Xook-Flow: an abstract communication channel model for the data exchange in computing continuum. 243–244. 1 indexed citations
5.
Carretero, Jesús, et al.. (2025). Smart Cities: A Systematic Review of Emerging Technologies. Smart Cities. 8(5). 173–173.
6.
Gómez‐Barroso, Diana, Concepción Delgado‐Sanz, Susana Monge, et al.. (2024). Estimación de la incidencia real de la COVID-19 en España. SHILAP Revista de lepidopterología. 7–14. 1 indexed citations
7.
Carretero, Jesús & Dagmar Krefting. (2023). Cluster and cloud computing for life sciences. Future Generation Computer Systems. 152. 254–256. 2 indexed citations
8.
Carretero, Jesús, Javier Garcia‐Blas, Marco Aldinucci, et al.. (2023). Adaptive multi-tier intelligent data manager for Exascale. SPIRE - Sciences Po Institutional REpository. 285–290.
9.
González-Compeán, J. L., et al.. (2022). SecMesh: An efficient information security method for stream processing in edge-fog-cloud. 8–16. 2 indexed citations
10.
González-Compeán, J. L., et al.. (2020). On the Continuous Processing of Health Data in Edge-Fog-Cloud Computing by Using Micro/Nanoservice Composition. IEEE Access. 8. 120255–120281. 34 indexed citations
11.
Singh, David E, et al.. (2016). Improving the Energy Efficiency of MPI Applications by Means of Malleability. 627–634. 5 indexed citations
12.
García, J. Daniel, et al.. (2013). A web cluster architectural proposal for balancing storage capacity and reliability by using partial replication.. Computer Systems: Science & Engineering. 28. 1 indexed citations
13.
Núñez, Alberto, Gabriel G. Castañé, José Luis Vázquez‐Poletti, et al.. (2011). Design of a flexible and scalable hypervisor module for simulating cloud computing environments. International Symposium on Performance Evaluation of Computer and Telecommunication Systems. 265–270. 8 indexed citations
14.
Núñez, Alberto, Javier Fernández, J. Daniel García, & Jesús Carretero. (2008). Analyzing Scalable High-Performance I/O Architectures.. Parallel and Distributed Processing Techniques and Applications. 631–637. 3 indexed citations
15.
Pichel, Juan C., David E Singh, & Jesús Carretero. (2008). Reordering Algorithms for Increasing Locality on Multicore Processors. 123–130. 20 indexed citations
16.
Pérez, Marı́a S., Alberto Sánchez, José M. Peña, et al.. (2004). Storage groups: A new approach for providing dynamic reconfiguration in data-based clusters.. 70–75. 1 indexed citations
17.
Fernández, Javier, et al.. (2003). Enhancing multimedia caching algorithm performance through new interval definition strategies. Annual Simulation Symposium. 175–182. 3 indexed citations
18.
Carretero, Jesús, et al.. (2003). A new approach for distributed computing in avionics systems. 579–584. 13 indexed citations
19.
Carretero, Jesús, et al.. (1999). Hierarchical scheduling for disk I/O in an integrated environment.. Computers and Their Applications. 200–203. 3 indexed citations
20.
Carretero, Jesús, et al.. (1993). A Multiprocessor Parallel Disk System Evaluation. 83(1). 187–198. 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.

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