R.M. Aguilar
Impact in
Papers in
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- Neural Networks and Applications 9
- Fuzzy Logic and Control Systems 6
- Intelligent Tutoring Systems and Adaptive Learning 4
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- Simulation Techniques and Applications 8
- Co-authors
- Iván Castilla‐Rodríguez (7 shared papers)L. Moreno (20 shared papers)José Sigut (13 shared papers)Carlos A. Martín (2 shared papers)Belén Melián-Batista (2 shared papers)J. Marcos Moreno‐Vega (2 shared papers)Christopher Expósito‐Izquierdo (2 shared papers)Andrea Bruno (6 shared papers)
In The Last Decade
R.M. Aguilar
47 papers receiving 344 citations
Peers
Comparison fields: 5 of 118
- Horticulture 6
- Neuropsychology and Physiological Psychology 8
- Industrial and Manufacturing Engineering 53
- Emergency Medical Services 30
- Building and Construction 46
Countries citing papers authored by R.M. Aguilar
This map shows the geographic impact of R.M. Aguilar'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 R.M. Aguilar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.M. Aguilar more than expected).
Fields of papers citing papers by R.M. Aguilar
This network shows the impact of papers produced by R.M. Aguilar. 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 R.M. Aguilar. The network helps show where R.M. Aguilar may publish in the future.
Co-authors
The 25 scholars most cited alongside R.M. Aguilar, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 48 | |
| 2 | 2018 | 45 | |
| 3 | 2013 | 27 | |
| 4 | 2013 | 26 | |
| 5 | 1999 | 21 | |
| 6 | 2018 | 19 | |
| 7 | 2018 | 17 | |
| 8 | 2005 | 17 | |
| 9 | 2000 | 17 | |
| 10 | 2007 | 15 | |
| 11 | 2001 | 12 | |
| 12 | 2018 | 10 | |
| 13 | 2003 | 9 | |
| 14 | 2010 | 8 | |
| 15 | 2009 | 7 | |
| 16 | Análisis de un tutorial inteligente sobre conceptos lógico- matemáticos en alumnos con Síndrome de Down | 2006 | 7 |
| 17 | 2003 | 6 | |
| 18 | 2010 | 6 | |
| 19 | 2000 | 6 | |
| 20 | 2019 | 6 |
About R.M. Aguilar
R.M. Aguilar is a scholar working on Artificial Intelligence, Management Science and Operations Research, Management Information Systems, Signal Processing and Electrical and Electronic Engineering, having authored 50 papers that have together received 382 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Simulation Techniques and Applications (8 papers), Fuzzy Logic and Control Systems (6 papers), Business Process Modeling and Analysis (4 papers), Energy Load and Power Forecasting (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Blind Source Separation Techniques (3 papers) and Developmental and Educational Neuropsychology (3 papers). The work is most often cited by research in Horticulture (6 citations), Neuropsychology and Physiological Psychology (8 citations), Industrial and Manufacturing Engineering (53 citations), Emergency Medical Services (30 citations) and Building and Construction (46 citations). R.M. Aguilar has collaborated with scholars based in Spain, Latvia and Nepal. Frequent co-authors include Iván Castilla‐Rodríguez, L. Moreno, José Sigut, Carlos A. Martín, Belén Melián-Batista, J. Marcos Moreno‐Vega, Christopher Expósito‐Izquierdo, Andrea Bruno, V. Muñoz and Claudia Muñoz. Their work appears in journals such as Expert Systems with Applications, Complexity, Computer Applications in Engineering Education, Artificial Intelligence in Medicine and Applied Soft Computing.
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.