Víctor M. Rivas

2.2k total citations · 1 hit paper
23 papers, 1.6k citations indexed

About

Víctor M. Rivas is a scholar working on Artificial Intelligence, Signal Processing and Management Science and Operations Research. According to data from OpenAlex, Víctor M. Rivas has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 5 papers in Signal Processing and 5 papers in Management Science and Operations Research. Recurrent topics in Víctor M. Rivas's work include Neural Networks and Applications (12 papers), Evolutionary Algorithms and Applications (9 papers) and Stock Market Forecasting Methods (5 papers). Víctor M. Rivas is often cited by papers focused on Neural Networks and Applications (12 papers), Evolutionary Algorithms and Applications (9 papers) and Stock Market Forecasting Methods (5 papers). Víctor M. Rivas collaborates with scholars based in Spain, United States and Mexico. Víctor M. Rivas's co-authors include María José del Jesús, Sebastián Ventura, Jaume Bacardit, Francisco Herrera, José Otero, Juan Carlos Fernández Fernández, Cristóbal Romero, Josep M. Garrell, Salvador García and Luciano Sánchez and has published in prestigious journals such as Journal of the American College of Cardiology, Information Sciences and Fuzzy Sets and Systems.

In The Last Decade

Víctor M. Rivas

23 papers receiving 1.5k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

KEEL: a software tool to assess evolutionary algorithms for data mining problems

2008 1.2k citations María José del Jesús, Víctor M. Rivas et al. Soft Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Víctor M. Rivas Spain	10	1.2k	385	191	183	149	23	1.6k
Junhai Zhai China	20	943 0.8×	234 0.6×	205 1.1×	331 1.8×	128 0.9×	98	1.4k
Essam Said Hanandeh Jordan	12	867 0.7×	278 0.7×	230 1.2×	256 1.4×	129 0.9×	24	1.6k
Yang Yu China	24	1.3k 1.0×	618 1.6×	242 1.3×	255 1.4×	270 1.8×	93	1.9k
Byung-Ro Moon South Korea	17	869 0.7×	349 0.9×	163 0.9×	250 1.4×	193 1.3×	75	1.6k
Konstantinos G. Margaritis Greece	18	908 0.7×	306 0.8×	341 1.8×	231 1.3×	145 1.0×	117	1.5k
Anna Maria Fanelli Italy	18	788 0.6×	169 0.4×	174 0.9×	215 1.2×	164 1.1×	101	1.2k
Tansel Dökeroğlu Türkiye	18	832 0.7×	311 0.8×	167 0.9×	238 1.3×	113 0.8×	44	1.6k
Tomoharu Nakashima Japan	19	1.8k 1.4×	444 1.2×	301 1.6×	239 1.3×	292 2.0×	122	2.3k
Lam Thu Bui Vietnam	17	556 0.5×	418 1.1×	136 0.7×	116 0.6×	119 0.8×	69	1.1k
Alberto Bugarín Spain	20	772 0.6×	236 0.6×	195 1.0×	169 0.9×	131 0.9×	102	1.2k

Countries citing papers authored by Víctor M. Rivas

Since Specialization

Citations

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

Fields of papers citing papers by Víctor M. Rivas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Víctor M. Rivas. 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 Víctor M. Rivas. The network helps show where Víctor M. Rivas may publish in the future.

Co-authorship network of co-authors of Víctor M. Rivas

This figure shows the co-authorship network connecting the top 25 collaborators of Víctor M. Rivas. A scholar is included among the top collaborators of Víctor M. Rivas 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 Víctor M. Rivas. Víctor M. Rivas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hawryluk, Natalie A., Stephen T. Schlachter, Víctor M. Rivas, et al.. (2023). EDG-002, A NOVEL TARGETED SARCOMERE REGULATOR PRESERVES INTRINSIC MYOSIN-MOTOR FUNCTION, BLUNTS HYPERCONTRACTILITY AND ELIMINATES LVOT OBSTRUCTION IN CATS WITH HYPERTROPHIC CARDIOMYOPATHY: IN VITRO AND IN VIVO EVIDENCE. Journal of the American College of Cardiology. 81(8). 349–349. 1 indexed citations

Rivas, Víctor M., et al.. (2017). Time series forecasting using evolutionary neural nets implemented in a volunteer computing system. Intelligent systems in accounting, finance and management. 24(2-3). 87–95. 8 indexed citations

Merelo, J. J., Pedro Á. Castillo, G. Romero, et al.. (2016). Ranking the Performance of Compiled and Interpreted Languages in Genetic Algorithms. 164–170. 1 indexed citations

Merelo, J. J., et al.. (2016). A comparison of implementations of basic evolutionary algorithm operations in different languages. 1602–1609. 3 indexed citations

Merelo, J. J., Pedro Á. Castillo, Antonio M. Mora, Anna I. Esparcia-Alcázar, & Víctor M. Rivas. (2014). NodEO, a multi-paradigm distributed evolutionary algorithm platform in JavaScript. 1155–1162. 7 indexed citations

Rivas, Víctor M., et al.. (2014). Gonadal Steroids Differentially Modulate the Actions of OrphaninFQ/Nociceptin at A Physiologically Relevant Circuit Controlling Female Sexual Receptivity. Journal of Neuroendocrinology. 26(5). 329–340. 13 indexed citations

Sanguino, T. J. Mateo, et al.. (2014). Open classroom: enhancing student achievement on artificial intelligence through an international online competition. Journal of Computer Assisted Learning. 31(1). 14–31. 27 indexed citations

Rivas, Víctor M., et al.. (2013). Short, medium and long term forecasting of time series using the L-Co-R algorithm. Neurocomputing. 128. 433–446. 14 indexed citations

Arenas, M. G., et al.. (2011). Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm. Soft Computing. 16(6). 919–942. 6 indexed citations

10.

Castro, Eulógio, Cristóbal Cara, María José del Jesús, & Víctor M. Rivas. (2010). Comparison of response surface methodology and artificial neural network applied to enzymatic hydrolysis of rapeseed straw. Journal of Biotechnology. 150. 137–137. 1 indexed citations

11.

Rivas, Víctor M., et al.. (2010). Time series forecasting: Automatic determination of lags and radial basis neural networks for a changing horizon environment. 1–7. 5 indexed citations

12.

Rivas, Víctor M., et al.. (2009). E-tsRBF: Preliminary Results on the Simultaneous Determination of Time-Lags and Parameters of Radial Basis Function Neural Networks for Time Series Forecasting. 3. 1445–1449. 1 indexed citations

13.

Rivas, Víctor M., M. G. Arenas, J. J. Merelo, & A. Prieto. (2007). EvRBF: evolving RBF neural networks for classification problems. 98–103. 4 indexed citations

14.

Merelo, J. J., Pedro Á. Castillo, & Víctor M. Rivas. (2005). Finding a needle in a haystack using hints and evolutionary computation: the case of evolutionary MasterMind. Applied Soft Computing. 6(2). 170–179. 9 indexed citations

15.

Castillo, Pedro Á., Víctor M. Rivas, J. J. Merelo, et al.. (2003). G-Prop-II: global optimization of multilayer perceptrons using GAs. 2022–2027. 9 indexed citations

16.

Rivas, Víctor M.. (2003). Evolving two-dimensional fuzzy systems. Fuzzy Sets and Systems. 138(2). 381–398. 5 indexed citations

17.

Castillo, Pedro Á., J. J. Merelo, A. Prieto, Víctor M. Rivas, & G. Romero. (2000). G-Prop: Global optimization of multilayer perceptrons using GAs. Neurocomputing. 35(1-4). 149–163. 98 indexed citations

18.

Castillo, Pedro Á., et al.. (2000). Evolving Multilayer Perceptrons. Neural Processing Letters. 12(2). 115–128. 40 indexed citations

19.

Castillo, Pedro Á., Víctor M. Rivas, J. J. Merelo, et al.. (1999). G-Prop-III: global optimization of Multilayer Perceptrons using an evolutionary algorithm. 942–942. 6 indexed citations

20.

Merelo, J. J., et al.. (1998). A neural net-based model for decision making in marketing. 8(4). 237–253. 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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