Daniel Molina
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 0.05%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Machine Learning and Data Classification
Papers in
-
- Metaheuristic Optimization Algorithms Research 46
- Evolutionary Algorithms and Applications 35
- Neural Networks and Applications 5
-
- Advanced Multi-Objective Optimization Algorithms 40
- Co-authors
- Francisco Herrera (48 shared papers)Salvador García (4 shared papers)Joaquín Derrac (1 shared paper)Manuel Lozano (19 shared papers)Javier Del Ser (10 shared papers)Adrien Bennetot (1 shared paper)Richard Benjamins (1 shared paper)Raja Chatila (1 shared paper)
- Journals
- Soft Computing (5 papers)Swarm and Evolutionary Computation (4 papers)Applied Soft Computing (4 papers)European Journal of Operational Research (3 papers)Evolutionary Computation (3 papers)
- Partner nations
- SpainUnited KingdomCuba
In The Last Decade
Daniel Molina
67 papers receiving 14.9k citations
Daniel Molina's Hit Papers
Peers
Comparison fields: 5 of 215
- Health Informatics 783
- Artificial Intelligence 9.8k
- Computational Theory and Mathematics 3.8k
- Industrial and Manufacturing Engineering 1.2k
- Safety Research 812
Countries citing papers authored by Daniel Molina
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
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-authors
The 25 scholars most cited alongside Daniel Molina, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI Hit paper breakdown → | 2019 | 6023 |
| 2 | A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms Hit paper breakdown → | 2011 | 4588 |
| 3 | 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 Hit paper breakdown → | 2008 | 1504 |
| 4 | Bio-inspired computation: Where we stand and what's next Hit paper breakdown → | 2019 | 482 |
| 5 | A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems Hit paper breakdown → | 2021 | 283 |
| 6 | 2004 | 276 | |
| 7 | 2006 | 233 | |
| 8 | 2010 | 175 | |
| 9 | A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects Hit paper breakdown → | 2021 | 170 |
| 10 | 2010 | 154 | |
| 11 | 2010 | 149 | |
| 12 | 2021 | 134 | |
| 13 | 2005 | 103 | |
| 14 | 2010 | 89 | |
| 15 | 2018 | 77 | |
| 16 | 2017 | 75 | |
| 17 | 2018 | 74 | |
| 18 | 2015 | 64 | |
| 19 | 2004 | 62 | |
| 20 | 2011 | 48 |
About Daniel Molina
Daniel Molina is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 69 papers that have together received 15.3k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (46 papers), Advanced Multi-Objective Optimization Algorithms (40 papers), Evolutionary Algorithms and Applications (35 papers), Neural Networks and Applications (5 papers), Vehicle Routing Optimization Methods (3 papers), Scheduling and Optimization Algorithms (3 papers), Artificial Immune Systems Applications (3 papers) and Advanced Manufacturing and Logistics Optimization (2 papers). The work is most often cited by research in Health Informatics (783 citations), Artificial Intelligence (9.8k citations), Computational Theory and Mathematics (3.8k citations), Industrial and Manufacturing Engineering (1.2k citations) and Safety Research (812 citations). Daniel Molina has collaborated with scholars based in Spain, United Kingdom and Cuba. Frequent co-authors include Francisco Herrera, Salvador García, Joaquín Derrac, Manuel Lozano, Javier Del Ser, Adrien Bennetot, Richard Benjamins, Raja Chatila, Sergio Gil-López and Natalia Díaz-Rodríguez. Their work appears in journals such as Soft Computing, Swarm and Evolutionary Computation, Applied Soft Computing, European Journal of Operational Research and Evolutionary Computation.
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.