Daniel Manrique
Impact in
-
- Online Learning and Analytics
- E-Learning and Knowledge Management
- Education top 5%
- Online and Blended Learning
- Innovative Teaching Methods
Papers in
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- Evolutionary Algorithms and Applications 15
- Metaheuristic Optimization Algorithms Research 11
- Neural Networks and Applications 8
- Reinforcement Learning in Robotics 4
- Co-authors
- Fernando AlonsoGenoveva LópezAlfonso Rodríguez‐PatónLoïc MartínezEmilio SerranoJosé FontJosé RíosPetr Sosı́k
- Journals
- Soft Computing (5 papers)Neurocomputing (2 papers)Knowledge-Based Systems (2 papers)Expert Systems with Applications (2 papers)Evolutionary Computation (2 papers)
- Partner nations
- SpainUnited KingdomCzechia
In The Last Decade
Daniel Manrique
38 papers receiving 585 citations
Peers
Comparison fields: 5 of 103
- Computer Science Applications 137
- Education 335
- Developmental and Educational Psychology 127
- Media Technology 65
- General Dentistry 10
Countries citing papers authored by Daniel Manrique
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
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
The 20 scholars most cited alongside Daniel Manrique, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 9 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 3 | |
| 7 | 2019 | 12 | |
| 8 | Challenge-Based Learning in Computational Biology and Data Science. | 2018 | 3 |
| 9 | 2015 | 13 | |
| 10 | Towards the automatic generation of card games through Grammar-Guided Genetic Programming | 2013 | 9 |
| 11 | 2012 | 4 | |
| 12 | 2011 | 4 | |
| 13 | 2010 | 3 | |
| 14 | Learning Objectives for E-Learning Instruction | 2008 | 1 |
| 15 | 2008 | 29 | |
| 16 | 2007 | 7 | |
| 17 | 2006 | 22 | |
| 18 | 2005 | 323 | |
| 19 | Neural Networks Evolutionary Learning in Chess Game. | 2003 | 1 |
| 20 | 2003 | 8 |
About Daniel Manrique
Daniel Manrique is a scholar working on Artificial Intelligence, Computer Science Applications, Communication, Education and Developmental and Educational Psychology, having authored 42 papers that have together received 663 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (15 papers), Metaheuristic Optimization Algorithms Research (11 papers), Neural Networks and Applications (8 papers), Online and Blended Learning (7 papers), Reinforcement Learning in Robotics (4 papers), DNA and Biological Computing (4 papers), Gene Regulatory Network Analysis (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Computer Science Applications (137 citations), Education (335 citations), Developmental and Educational Psychology (127 citations), Media Technology (65 citations) and General Dentistry (10 citations). Daniel Manrique has collaborated with scholars based in Spain, United Kingdom and Czechia. Frequent 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. Their work appears in journals such as Soft Computing, Neurocomputing, Knowledge-Based Systems, Expert Systems with Applications 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.