Daniel Manrique

1.3k total citations
42 papers, 663 citations indexed

About

Daniel Manrique is a scholar working on Artificial Intelligence, Molecular Biology and Education. According to data from OpenAlex, Daniel Manrique has authored 42 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 11 papers in Molecular Biology and 7 papers in Education. Recurrent topics in Daniel Manrique's work include Evolutionary Algorithms and Applications (15 papers), Metaheuristic Optimization Algorithms Research (11 papers) and Neural Networks and Applications (8 papers). Daniel Manrique is often cited by papers focused on Evolutionary Algorithms and Applications (15 papers), Metaheuristic Optimization Algorithms Research (11 papers) and Neural Networks and Applications (8 papers). Daniel Manrique collaborates with scholars based in Spain, United Kingdom and Czechia. Daniel Manrique's co-authors include Fernando Alonso, Genoveva López, Alfonso Rodríguez‐Patón, Loïc Martínez, Emilio Serrano, José Font, José Ríos, Petr Sosı́k, Juan F. De Paz and Patrick Ball and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and Sensors.

In The Last Decade

Daniel Manrique

38 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Manrique Spain 12 335 152 137 127 109 42 663
Y.T. Yu Hong Kong 12 122 0.4× 132 0.9× 200 1.5× 110 0.9× 267 2.4× 35 780
Charles Riedesel United States 16 244 0.7× 60 0.4× 463 3.4× 167 1.3× 175 1.6× 31 725
Henry M. Walker United States 15 103 0.3× 69 0.5× 485 3.5× 176 1.4× 261 2.4× 125 726
Zhi Liu China 17 233 0.7× 267 1.8× 319 2.3× 179 1.4× 122 1.1× 55 765
Amber Settle United States 18 197 0.6× 127 0.8× 830 6.1× 376 3.0× 269 2.5× 84 1.1k
Ilkka Jormanainen Finland 13 108 0.3× 130 0.9× 545 4.0× 199 1.6× 195 1.8× 56 821
Ann Q. Gates United States 15 129 0.4× 237 1.6× 123 0.9× 40 0.3× 219 2.0× 96 798
Stefaan Ternier Belgium 14 169 0.5× 191 1.3× 404 2.9× 154 1.2× 305 2.8× 66 810

Countries citing papers authored by Daniel Manrique

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Manrique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Manrique

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Manrique. A scholar is included among the top collaborators of Daniel Manrique 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 Daniel Manrique. Daniel Manrique 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.
Manrique, Daniel, et al.. (2024). Estimation of Distribution Algorithm for Grammar-Guided Genetic Programming. Evolutionary Computation. 32(4). 339–370. 1 indexed citations
2.
Lara, Juan A., et al.. (2023). Towards the portability of knowledge in reinforcement learning-based systems for automatic drone navigation. PeerJ Computer Science. 9. e1402–e1402. 1 indexed citations
3.
Serrano, Emilio, et al.. (2021). An ontology-based deep learning approach for triple classification with out-of-knowledge-base entities. Information Sciences. 564. 85–102. 9 indexed citations
4.
Serrano, Emilio, et al.. (2021). A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation.. International Journal of Interactive Multimedia and Artificial Intelligence. 7(2). 15–26. 4 indexed citations
5.
Serrano, Emilio, et al.. (2021). A hierarchical multi-agent architecture based on virtual identities to explain black-box personalization policies. Expert Systems with Applications. 186. 115731–115731. 2 indexed citations
6.
Manrique, Daniel, et al.. (2020). On the Darboux transformations and sequences of p-orthogonal polynomials. Applied Mathematics and Computation. 382. 125337–125337. 3 indexed citations
7.
Serrano, Emilio, et al.. (2019). Prediction and Decision-Making in Intelligent Environments Supported by Knowledge Graphs, A Systematic Review. Sensors. 19(8). 1774–1774. 12 indexed citations
8.
Serrano, Emilio, Martín Molina, Daniel Manrique, & Javier Bajo. (2018). Challenge-Based Learning in Computational Biology and Data Science.. 725–733. 3 indexed citations
9.
Alonso, Fernando, et al.. (2015). Study of the Influence of Social Relationships among Students on Knowledge Building Using a Moderately Constructivist Learning Model. Journal of Educational Computing Research. 51(4). 417–439. 13 indexed citations
10.
Font, José, Tobias Mahlmann, Daniel Manrique, & Julian Togelius. (2013). Towards the automatic generation of card games through Grammar-Guided Genetic Programming. Foundations of Digital Games. 360–363. 9 indexed citations
11.
Font, José, et al.. (2012). Bacterially inspired evolving system with an application to time series prediction. Applied Soft Computing. 13(2). 1136–1146. 4 indexed citations
12.
Manrique, Daniel, Alfonso Rodríguez‐Patón, & Petr Sosı́k. (2011). On the scalability of biocomputing algorithms: The case of the maximum clique problem. Theoretical Computer Science. 412(51). 7075–7086. 4 indexed citations
13.
Font, José & Daniel Manrique. (2010). Grammar-guided evolutionary automatic system for autonomously building biological oscillators. 1. 1–7. 3 indexed citations
14.
Manrique, Daniel, et al.. (2008). Learning Objectives for E-Learning Instruction. 1 indexed citations
15.
Alonso, Fernando, et al.. (2008). Learning objects, learning objectives and learning design. Innovations in Education and Teaching International. 45(4). 389–400. 29 indexed citations
16.
Manrique, Daniel, et al.. (2007). A P system and a constructive membrane-inspired DNA algorithm for solving the Maximum Clique Problem. Biosystems. 90(3). 687–697. 7 indexed citations
17.
Manrique, Daniel, et al.. (2006). Initialization method for grammar-guided genetic programming. Knowledge-Based Systems. 20(2). 127–133. 22 indexed citations
18.
Alonso, Fernando, et al.. (2005). An instructional model for web‐based e‐learning education with a blended learning process approach. British Journal of Educational Technology. 36(2). 217–235. 323 indexed citations
19.
Manrique, Daniel, et al.. (2003). Neural Networks Evolutionary Learning in Chess Game.. 148–153. 1 indexed citations
20.
Ball, Patrick, et al.. (2003). How many Peruvians have died. 41(2). 157–163. 8 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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