Daniel Molina

19.4k total citations · 5 hit papers
64 papers, 13.5k citations indexed

About

Daniel Molina is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Daniel Molina has authored 64 papers receiving a total of 13.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 39 papers in Computational Theory and Mathematics and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Daniel Molina's work include Metaheuristic Optimization Algorithms Research (43 papers), Advanced Multi-Objective Optimization Algorithms (37 papers) and Evolutionary Algorithms and Applications (33 papers). Daniel Molina is often cited by papers focused on Metaheuristic Optimization Algorithms Research (43 papers), Advanced Multi-Objective Optimization Algorithms (37 papers) and Evolutionary Algorithms and Applications (33 papers). Daniel Molina collaborates with scholars based in Spain, United Kingdom and Saudi Arabia. Daniel Molina's co-authors include Francisco Herrera, Salvador García, Joaquín Derrac, Manuel Lozano, Javier Del Ser, Sergio Gil-López, Siham Tabik, Raja Chatila, Natalia Díaz-Rodríguez and Alberto Barbado and has published in prestigious journals such as European Journal of Operational Research, Information Sciences and Sustainability.

In The Last Decade

Daniel Molina

62 papers receiving 13.0k citations

Hit Papers

5 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.

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

2019 5.0k citations Natalia Díaz-Rodríguez, Javier Del Ser et al. Information Fusion profile →
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

2011 4.3k citations Joaquín Derrac, Salvador García et al. Swarm and Evolutionary Computation profile →
A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization

2008 1.4k citations Salvador García, Daniel Molina et al. profile →
Bio-inspired computation: Where we stand and what's next

2019 438 citations Javier Del Ser, Eneko Osaba et al. Swarm and Evolutionary Computation profile →
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems

2021 256 citations Eneko Osaba, Javier Del Ser et al. Swarm and Evolutionary Computation profile →

Peers

Countries citing papers authored by Daniel Molina

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Molina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Molina

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Molina. A scholar is included among the top collaborators of Daniel Molina 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 Molina. Daniel Molina 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

#	Work	Indexed citations
1	Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects 2025 ·IEEE Transactions on Evolutionary Computation ·Daniel Molina, (unknown), Javier Del Ser, Salvador García, Hisao Ishibuchi, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera	1
2	Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness 2023 ·Applied Soft Computing ·(unknown), Daniel Molina, (unknown), Javier Del Ser, Francisco Herrera	11
3	General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance 2023 ·Information Fusion ·Isaac Triguero, Daniel Molina, (unknown), Javier Del Ser, Francisco Herrera	29
4	NATURE- AND BIO-INSPIRED OPTIMIZATION: THE GOOD, THE BAD, THE UGLY AND THE HOPEFUL 2022 ·DYNA ·Daniel Molina, (unknown), Eneko Osaba, Javier Del Ser, Francisco Herrera	1
5	EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks 2022 ·Neural Networks ·(unknown), Daniel Molina, (unknown), Javier Del Ser, Francisco Herrera	34
6	Ordering Artificial Intelligence Based Recommendations to Tackle the SDGs with a Decision-Making Model Based on Surveys 2021 ·Sustainability ·Sergio Alonso, Rosana Montes, Daniel Molina, Iván Palomares, Eugenio Martínez‐Cámara, Manuel Chiachío, Juan Chiachío, Francisco Javier Melero, (unknown), (unknown), Cristina Moral Santaella, (unknown), (unknown), Francisco Herrera	12
7	A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects 2021 ·Applied Intelligence ·Iván Palomares, Eugenio Martínez‐Cámara, Rosana Montes, (unknown), Manuel Chiachío, Juan Chiachío, Sergio Alonso, Francisco Javier Melero, Daniel Molina, (unknown), Cristina Moral Santaella, (unknown), (unknown), Francisco Herrera	130
8	Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI breakdown → 2019 ·Information Fusion ·(unknown), Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-López, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera	4972
9	Bio-inspired computation: Where we stand and what's next breakdown → 2019 ·Swarm and Evolutionary Computation ·Javier Del Ser, Eneko Osaba, Daniel Molina, Xin‐She Yang, Sancho Salcedo‐Sanz, David Camacho, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Carlos A. Coello Coello, Francisco Herrera	438
10	Soluciones inteligentes para el desarrollo urbano sostenible 2018 ·El Servicio de Difusión de la Creación Intelectual (National University of La Plata) ·(unknown), Marcelo Luis Errecalde, Daniel Molina, (unknown), (unknown), (unknown), (unknown), (unknown), Cristián Montenegro, (unknown), (unknown)	1
11	SHADE with Iterative Local Search for Large-Scale Global Optimization 2018 ·Institutional Repository of the University of Granada (University of Granada) ·Daniel Molina, Antonio LaTorre, Francisco Herrera	70
12	An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions 2018 ·Cognitive Computation ·Daniel Molina, Antonio LaTorre, Francisco Herrera	72
13	Inteligencia computacional aplicada a la optimización multiojetivo de problemas descheduling con restricciones 2017 ·El Servicio de Difusión de la Creación Intelectual (National University of La Plata) ·(unknown), (unknown), Daniel Molina	0
14	Region-based memetic algorithm with archive for multimodal optimisation 2016 ·Information Sciences ·(unknown), Daniel Molina, Francisco Herrera	19
15	Iterative hybridization of DE with local search for the CEC'2015 special session on large scale global optimization 2015 ·Daniel Molina, Francisco Herrera	34
16	Boreal forest tree height estimation from interferometric TanDEM-X images 2012 ·Jaan Praks, M. Hallikainen, Oleg Antropov, Daniel Molina	17
17	An ACO algorithm benchmarked on the BBOB noiseless function testbed 2012 ·Tianjun Liao, Daniel Molina, Thomas Stützle, Marco A. Montes de, Marco Dorigo	8
18	A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms breakdown → 2011 ·Swarm and Evolutionary Computation ·Joaquín Derrac, Salvador García, Daniel Molina, Francisco Herrera	4303
19	MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization 2010 ·Daniel Molina, Manuel Lozano, Francisco Herrera	142
20	Real-parameter crossover operators with multiple descendents: An experimental study 2008 ·International Journal of Intelligent Systems ·Ana M. Sánchez, Manuel Lozano, Carlos García‐Martínez, Daniel Molina, Francisco Herrera	5

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.

Explore authors with similar magnitude of impact