Fernando L. Pelayo

465 total citations
44 papers, 294 citations indexed

About

Fernando L. Pelayo is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Fernando L. Pelayo has authored 44 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Theory and Mathematics, 19 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Fernando L. Pelayo's work include Cognitive Computing and Networks (8 papers), Petri Nets in System Modeling (8 papers) and Formal Methods in Verification (8 papers). Fernando L. Pelayo is often cited by papers focused on Cognitive Computing and Networks (8 papers), Petri Nets in System Modeling (8 papers) and Formal Methods in Verification (8 papers). Fernando L. Pelayo collaborates with scholars based in Spain, Italy and Austria. Fernando L. Pelayo's co-authors include Valentín Valero, Fernando Cuartero, José C. Valverde, Diego Cazorla, Juan A. Aledo, Gregorio Dı́az, Juan L. G. Guirao, Pedro Valero‐Lara, H. Glaeser and M. Emilia Cambronero and has published in prestigious journals such as Reliability Engineering & System Safety, Computers & Mathematics with Applications and Journal of Computational and Applied Mathematics.

In The Last Decade

Fernando L. Pelayo

42 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando L. Pelayo Spain 10 113 103 56 45 40 44 294
Jiaquan Gao China 12 147 1.3× 108 1.0× 79 1.4× 5 0.1× 5 0.1× 48 363
Yu Yu China 10 32 0.3× 253 2.5× 50 0.9× 14 0.3× 14 0.3× 47 361
Abdullah Al-Dujaili Singapore 9 57 0.5× 174 1.7× 83 1.5× 3 0.1× 5 0.1× 20 239
A.S.J. Helberg South Africa 9 80 0.7× 111 1.1× 99 1.8× 14 0.3× 4 0.1× 33 290
Jean‐Luc Lutton France 6 50 0.4× 109 1.1× 66 1.2× 5 0.1× 4 0.1× 9 268
Raymond Boute Belgium 9 92 0.8× 93 0.9× 23 0.4× 2 0.0× 6 0.1× 41 234
Jiří Očenášek Czechia 6 100 0.9× 197 1.9× 30 0.5× 7 0.2× 7 0.2× 8 282
Ragesh Jaiswal India 9 129 1.1× 211 2.0× 49 0.9× 5 0.1× 5 0.1× 27 316
Himanshu Tyagi India 12 70 0.6× 134 1.3× 201 3.6× 14 0.3× 3 0.1× 64 438
Sam Adé Jacobs United States 9 18 0.2× 172 1.7× 70 1.3× 45 1.0× 2 0.1× 20 312

Countries citing papers authored by Fernando L. Pelayo

Since Specialization
Citations

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

Fields of papers citing papers by Fernando L. Pelayo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando L. Pelayo. 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 Fernando L. Pelayo. The network helps show where Fernando L. Pelayo may publish in the future.

Co-authorship network of co-authors of Fernando L. Pelayo

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando L. Pelayo. A scholar is included among the top collaborators of Fernando L. Pelayo 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 Fernando L. Pelayo. Fernando L. Pelayo 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.
Queral, César, et al.. (2024). Activities in Spain on the integration of probabilistic and deterministic safety analysis methods. Discussion on their applicability to DEC-A scenarios. Nuclear Engineering and Design. 419. 112944–112944. 2 indexed citations
2.
Cuartero, Fernando, et al.. (2023). Functional Matrices on Quantum Computing Simulation. Mathematics. 11(17). 3742–3742. 3 indexed citations
3.
Cuartero, Fernando, et al.. (2023). Heuristics for Quantum Computing Dealing with 3-SAT. Mathematics. 11(8). 1888–1888. 1 indexed citations
4.
Cuartero, Fernando, et al.. (2021). On the Amplitude Amplification of Quantum States Corresponding to the Solutions of the Partition Problem. Mathematics. 9(17). 2027–2027.
5.
Pelayo, Fernando L., et al.. (2020). An Algorithm for Counting the Fixed Point Orbits of an AND-OR Dynamical System with Symmetric Positive Dependency Graph. Mathematics. 8(9). 1611–1611. 2 indexed citations
6.
Muñoz-Cobo, J.L., et al.. (2014). CSAU methodology and results for an ATWS event in a BWR using information theory methods. Nuclear Engineering and Design. 278. 445–464. 3 indexed citations
7.
D'Auria, Francesco Saverio, et al.. (2013). OECD/CSNI Workshop on Best Estimate Methods and Uncertainty Evaluations Workshop Proceedings. CINECA IRIS Institutial research information system (University of Pisa). 1–30. 1 indexed citations
8.
Pelayo, Fernando L. & José C. Valverde. (2012). Notes on “Modeling the dynamics of concurrent computing systems”. Computers & Mathematics with Applications. 64(4). 661–663. 7 indexed citations
9.
Aledo, Juan A., et al.. (2011). Parallel discrete dynamical systems on maxterm and minterm Boolean functions. Mathematical and Computer Modelling. 55(3-4). 666–671. 33 indexed citations
10.
Pelayo, Fernando L., et al.. (2011). Towards a More Efficient Use of GPUs. 3–9. 6 indexed citations
11.
Pelayo, Fernando L., et al.. (2010). BEPU Methodologies and Plant Technical Specifications. 1573–1579. 1 indexed citations
12.
D'Auria, Francesco Saverio, et al.. (2009). Deterministic Safety Analysis for Nuclear Power Plants. IAEA Specific Safety Guide. CINECA IRIS Institutial research information system (University of Pisa). 12 indexed citations
13.
Guirao, Juan L. G. & Fernando L. Pelayo. (2008). On skew-product maps with the base having a closed set of periodic points. International Journal of Computer Mathematics. 85(3-4). 441–445. 5 indexed citations
14.
Pelayo, Fernando L., et al.. (2006). Generating the syntactic and semantics graphs for a Markovian process algebra. Journal of Computational and Applied Mathematics. 204(1). 38–47. 1 indexed citations
15.
Pelayo, Fernando L., et al.. (2004). Applying Formal Methods: Testing, Performance, and M/E-Commerce: FORTE 2004 Workshops The FormEMC, EPEW, ITM, Toledo, Spain, October 1-2, 2004 (Lecture Notes in Computer Science). Springer eBooks. 2 indexed citations
16.
Núñez, Manuel, et al.. (2004). STOPA: a stochastic process algebra for the formal representation of cognitive systems. 64–73. 7 indexed citations
17.
Valverde, José C., et al.. (2004). Stability of continuous systems by Routh-Hurwitz and mathematica. Journal of Computational Methods in Sciences and Engineering. 4(1-2). 125–134. 3 indexed citations
18.
Macià, Hermenegilda, Valentín Valero, Fernando Cuartero, & Fernando L. Pelayo. (2004). A new synchronization in finite stochastic Petri box calculus. 2075. 216–225. 2 indexed citations
19.
Cazorla, Diego, et al.. (2003). Algebraic theory of probabilistic and nondeterministic processes. The Journal of Logic and Algebraic Programming. 55(1-2). 57–103. 28 indexed citations
20.
Cazorla, Diego, Fernando Cuartero, Valentín Valero, & Fernando L. Pelayo. (2000). A Denotational Model for Probabilistic and Nondeterministic Processes.. 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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