Eladio Gutiérrez

555 total citations
46 papers, 315 citations indexed

About

Eladio Gutiérrez is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Eladio Gutiérrez has authored 46 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Hardware and Architecture, 27 papers in Computer Networks and Communications and 14 papers in Artificial Intelligence. Recurrent topics in Eladio Gutiérrez's work include Parallel Computing and Optimization Techniques (32 papers), Advanced Data Storage Technologies (23 papers) and Distributed systems and fault tolerance (17 papers). Eladio Gutiérrez is often cited by papers focused on Parallel Computing and Optimization Techniques (32 papers), Advanced Data Storage Technologies (23 papers) and Distributed systems and fault tolerance (17 papers). Eladio Gutiérrez collaborates with scholars based in Spain, Greece and Switzerland. Eladio Gutiérrez's co-authors include Emilio L. Zapata, Óscar Plata, Rafael Asenjo, Ivan Fernandez, Christina Giannoula, Juan Gómez-Luna, Ángeles Navarro, Luis F. Romero, Onur Mutlu and Mohammed Alser and has published in prestigious journals such as IEEE Access, Computers & Education and Computer Physics Communications.

In The Last Decade

Eladio Gutiérrez

44 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eladio Gutiérrez Spain 9 166 123 78 60 47 46 315
Rodolfo Azevedo Brazil 13 453 2.7× 302 2.5× 68 0.9× 112 1.9× 80 1.7× 104 692
Jeffrey W. Humphries United States 11 49 0.3× 148 1.2× 105 1.3× 179 3.0× 187 4.0× 21 483
David P. Bunde United States 9 63 0.4× 127 1.0× 17 0.2× 45 0.8× 71 1.5× 62 250
Amir Kamil United States 9 258 1.6× 272 2.2× 56 0.7× 107 1.8× 134 2.9× 23 461
Magnus Jahre Norway 12 236 1.4× 192 1.6× 58 0.7× 18 0.3× 66 1.4× 47 383
Gregory T. Byrd United States 10 145 0.9× 204 1.7× 119 1.5× 13 0.2× 40 0.9× 58 404
David Klappholz United States 11 208 1.3× 143 1.2× 92 1.2× 24 0.4× 61 1.3× 37 302
Carl Burch United States 7 32 0.2× 124 1.0× 60 0.8× 31 0.5× 21 0.4× 11 235
Eran Gal Israel 7 191 1.2× 474 3.9× 125 1.6× 55 0.9× 71 1.5× 12 610
D. Thaler United States 8 61 0.4× 506 4.1× 41 0.5× 21 0.3× 40 0.9× 16 589

Countries citing papers authored by Eladio Gutiérrez

Since Specialization
Citations

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

Fields of papers citing papers by Eladio Gutiérrez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eladio Gutiérrez

This figure shows the co-authorship network connecting the top 25 collaborators of Eladio Gutiérrez. A scholar is included among the top collaborators of Eladio Gutiérrez 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 Eladio Gutiérrez. Eladio Gutiérrez 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.
Gutiérrez, Eladio, et al.. (2024). Exploring multiprocessor approaches to time series analysis. Journal of Parallel and Distributed Computing. 188. 104855–104855. 2 indexed citations
2.
Fernandez, Ivan, Christina Giannoula, Mohammed Alser, et al.. (2022). Exploiting Near-Data Processing to Accelerate Time Series Analysis. 106. 279–282. 1 indexed citations
3.
Fernandez, Ivan, et al.. (2019). Accelerating time series motif discovery in the Intel Xeon Phi KNL processor. The Journal of Supercomputing. 75(11). 7053–7075. 6 indexed citations
4.
Gutiérrez, Eladio, et al.. (2017). Privatizing transactions for Lee’s algorithm in commercial hardware transactional memory. The Journal of Supercomputing. 74(4). 1676–1694. 1 indexed citations
5.
Gutiérrez, Eladio, et al.. (2016). A comparative analysis of STM approaches to reduction operations in irregular applications. Journal of Computational Science. 17. 630–638. 2 indexed citations
6.
Gutiérrez, Eladio, et al.. (2013). Dealing with Reduction Operations Using Transactional Memory. Zenodo (CERN European Organization for Nuclear Research). 4. 128–135. 1 indexed citations
7.
Gutiérrez, Eladio, et al.. (2013). Parallelizing the Sparse Matrix Transposition: Reducing the Programmer Effort Using Transactional Memory. Procedia Computer Science. 18. 501–510. 1 indexed citations
8.
Gutiérrez, Eladio, et al.. (2011). E‐assessment of Matlab assignments in Moodle: Application to an introductory programming course for engineers. Computer Applications in Engineering Education. 21(4). 728–736. 22 indexed citations
9.
Gutiérrez, Eladio, et al.. (2011). Multiset signatures for transactional memory. 43–52. 2 indexed citations
10.
Gutiérrez, Eladio, et al.. (2010). Use of a New Moodle Module for Improving the Teaching of a Basic Course on Computer Architecture. IEEE Transactions on Education. 54(2). 222–228. 24 indexed citations
11.
Gutiérrez, Eladio, et al.. (2009). A new Moodle module supporting automatic verification of VHDL-based assignments. Computers & Education. 54(2). 562–577. 41 indexed citations
12.
Gutiérrez, Eladio, et al.. (2009). Improving Signatures by Locality Exploitation for Transactional Memory. 303–312. 12 indexed citations
13.
Gutiérrez, Eladio, Óscar Plata, & Emilio L. Zapata. (2008). An analytical model of locality-based parallel irregular reductions. Parallel Computing. 34(3). 133–157. 6 indexed citations
14.
Gutiérrez, Eladio, et al.. (2007). Locality-improved FFT implementation on a graphics processor. International Conference on Signal Processing. 58–63. 5 indexed citations
15.
Gutiérrez, Eladio, et al.. (2007). Simulation of quantum gates on a novel GPU architecture. International Conference on Systems. 121–126. 5 indexed citations
16.
Plata, Óscar, et al.. (2005). On the parallelization of irregular and dynamic programs. Parallel Computing. 31(6). 544–562. 3 indexed citations
17.
Gutiérrez, Eladio, Óscar Plata, & Emilio L. Zapata. (2004). Data partitioning-based parallel irregular reductions: Research Articles. Concurrency and Computation Practice and Experience. 16(2). 155–50.
18.
Gutiérrez, Eladio, Óscar Plata, & Emilio L. Zapata. (2003). On improving the performance of data partitioning oriented parallel irregular reductions. 445–452. 1 indexed citations
19.
Gutiérrez, Eladio, Óscar Plata, & Emilio L. Zapata. (2003). Optimization techniques for parallel irregular reductions. Journal of Systems Architecture. 49(3). 63–74. 6 indexed citations
20.
Gutiérrez, Eladio, Óscar Plata, & Emilio L. Zapata. (2000). A compiler method for the parallel execution of irregular reductions in scalable shared memory multiprocessors. 78–87. 39 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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