Roberto R. Expósito

637 total citations
35 papers, 407 citations indexed

About

Roberto R. Expósito is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Roberto R. Expósito has authored 35 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 18 papers in Information Systems and 11 papers in Hardware and Architecture. Recurrent topics in Roberto R. Expósito's work include Cloud Computing and Resource Management (17 papers), Advanced Data Storage Technologies (16 papers) and Distributed and Parallel Computing Systems (15 papers). Roberto R. Expósito is often cited by papers focused on Cloud Computing and Resource Management (17 papers), Advanced Data Storage Technologies (16 papers) and Distributed and Parallel Computing Systems (15 papers). Roberto R. Expósito collaborates with scholars based in Spain. Roberto R. Expósito's co-authors include Juan Touriño, Guillermo L. Taboada, Ramón Doallo, Sabela Ramos, Jorge González‐Domínguez, Javier López Cacheiro, Verónica Bolón‐Canedo and María J. Martín and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Roberto R. Expósito

33 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto R. Expósito Spain 12 254 213 83 71 45 35 407
Dong Dai United States 11 327 1.3× 181 0.8× 85 1.0× 82 1.2× 17 0.4× 69 429
Mohsine Eleuldj Morocco 5 304 1.2× 242 1.1× 64 0.8× 33 0.5× 10 0.2× 15 404
Marcelo Veiga Neves Brazil 6 372 1.5× 332 1.6× 40 0.5× 69 1.0× 8 0.2× 9 454
Héctor A. Durán-Limón Mexico 11 294 1.2× 220 1.0× 169 2.0× 55 0.8× 8 0.2× 40 425
Peter Tröger Germany 9 151 0.6× 102 0.5× 38 0.5× 64 0.9× 10 0.2× 41 245
Robert A. van Engelen United States 8 243 1.0× 154 0.7× 120 1.4× 103 1.5× 6 0.1× 20 387
Mengxia Zhu United States 11 287 1.1× 119 0.6× 52 0.6× 21 0.3× 21 0.5× 44 365
D. Manjula India 9 318 1.3× 316 1.5× 105 1.3× 20 0.3× 17 0.4× 28 500
Ilias Mavridis Greece 8 202 0.8× 174 0.8× 65 0.8× 24 0.3× 5 0.1× 9 276
Reza Farivar United States 9 214 0.8× 201 0.9× 186 2.2× 56 0.8× 7 0.2× 16 428

Countries citing papers authored by Roberto R. Expósito

Since Specialization
Citations

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

Fields of papers citing papers by Roberto R. Expósito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto R. Expósito. 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 Roberto R. Expósito. The network helps show where Roberto R. Expósito may publish in the future.

Co-authorship network of co-authors of Roberto R. Expósito

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto R. Expósito. A scholar is included among the top collaborators of Roberto R. Expósito 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 Roberto R. Expósito. Roberto R. Expósito 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.
Expósito, Roberto R. & Jorge González‐Domínguez. (2024). BigDEC: A multi-algorithm Big Data tool based on the k-mer spectrum method for scalable short-read error correction. Future Generation Computer Systems. 154. 314–329. 1 indexed citations
2.
Expósito, Roberto R., et al.. (2023). SeQual-Stream: approaching stream processing to quality control of NGS datasets. BMC Bioinformatics. 24(1). 403–403.
3.
Expósito, Roberto R., et al.. (2022). A pipeline architecture for feature-based unsupervised clustering using multivariate time series from HPC jobs. Information Fusion. 93. 1–20. 10 indexed citations
4.
Expósito, Roberto R., et al.. (2022). SparkEC: speeding up alignment-based DNA error correction tools. BMC Bioinformatics. 23(1). 464–464. 2 indexed citations
5.
Expósito, Roberto R., et al.. (2020). SeQual: Big Data Tool to Perform Quality Control and Data Preprocessing of Large NGS Datasets. IEEE Access. 8. 146075–146084. 6 indexed citations
6.
González‐Domínguez, Jorge & Roberto R. Expósito. (2018). ParBiBit: Parallel tool for binary biclustering on modern distributed-memory systems. PLoS ONE. 13(4). e0194361–e0194361. 7 indexed citations
7.
Expósito, Roberto R., Jorge González‐Domínguez, & Juan Touriño. (2018). HSRA: Hadoop-based spliced read aligner for RNA sequencing data. PLoS ONE. 13(7). e0201483–e0201483. 12 indexed citations
8.
González‐Domínguez, Jorge & Roberto R. Expósito. (2018). Accelerating binary biclustering on platforms with CUDA-enabled GPUs. Information Sciences. 496. 317–325. 12 indexed citations
9.
Expósito, Roberto R., et al.. (2018). Enhancing in-memory efficiency for MapReduce-based data processing. Journal of Parallel and Distributed Computing. 120. 323–338. 5 indexed citations
10.
Expósito, Roberto R., et al.. (2016). Performance evaluation of big data frameworks for large-scale data analytics. RUC (Universidade Da Coruña). 424–431. 46 indexed citations
11.
Expósito, Roberto R., et al.. (2016). Flame-MR: An event-driven architecture for MapReduce applications. Future Generation Computer Systems. 65. 46–56. 10 indexed citations
12.
Expósito, Roberto R., et al.. (2015). Analysis and evaluation of MapReduce solutions on an HPC cluster. Computers & Electrical Engineering. 50. 200–216. 12 indexed citations
13.
Expósito, Roberto R., Guillermo L. Taboada, Sabela Ramos, Juan Touriño, & Ramón Doallo. (2014). Performance Evaluation of Data-Intensive Computing Applications on a Public IaaS Cloud. The Computer Journal. 59(3). 287–307. 4 indexed citations
14.
Ramos, Sabela, Guillermo L. Taboada, Roberto R. Expósito, & Juan Touriño. (2014). Nonblocking collectives for scalable Java communications. Concurrency and Computation Practice and Experience. 27(5). 1169–1187. 1 indexed citations
15.
Expósito, Roberto R., Sabela Ramos, Guillermo L. Taboada, Juan Touriño, & Ramón Doallo. (2014). FastMPJ: a scalable and efficient Java message-passing library. Cluster Computing. 17(3). 1031–1050. 4 indexed citations
16.
Expósito, Roberto R., et al.. (2013). Running Scientific Codes on Amazon EC2: a Performance Analysis of Five High-end Instances. SHILAP Revista de lepidopterología. 3 indexed citations
17.
González‐Domínguez, Jorge, María J. Martín, Guillermo L. Taboada, Roberto R. Expósito, & Juan Touriño. (2013). The Servet 3.0 benchmark suite: Characterization of network performance degradation. Computers & Electrical Engineering. 39(8). 2483–2493. 1 indexed citations
18.
Expósito, Roberto R., Guillermo L. Taboada, Sabela Ramos, Juan Touriño, & Ramón Doallo. (2012). Evaluation of messaging middleware for high-performance cloud computing. Personal and Ubiquitous Computing. 17(8). 1709–1719. 5 indexed citations
19.
Expósito, Roberto R., Guillermo L. Taboada, Sabela Ramos, Juan Touriño, & Ramón Doallo. (2012). Performance analysis of HPC applications in the cloud. Future Generation Computer Systems. 29(1). 218–229. 82 indexed citations
20.
Taboada, Guillermo L., Sabela Ramos, Roberto R. Expósito, Juan Touriño, & Ramón Doallo. (2011). Java in the High Performance Computing arena: Research, practice and experience. Science of Computer Programming. 78(5). 425–444. 57 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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