Juan J. Fuertes
- Urology top 2%
- Genetics top 5%
- Rheumatology top 5%
- Media Technology top 2%
- Experimental Learning in Engineering 24
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- Digital Transformation in Industry 6
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- Neural Networks and Applications 10
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- Advanced MEMS and NEMS Technologies 9
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- Industrial Automation and Control Systems 9
- Smart Grid Security and Resilience 8
- Fault Detection and Control Systems 7
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- Building Energy and Comfort Optimization 6
- Co-authors
- Manuel DomínguezMiguel A. PradaSerafín AlonsoAntonio MoránJavier García‐SanchoVerónica GarcíaAna SánchezMercedes Alberca
- Cited by
- UrologyGeneticsRheumatology
- Journals
- Sensors (3 papers)Neural Computing and Applications (3 papers)Engineering Applications of Artificial Intelligence (3 papers)
- Partner nations
- SpainMexicoUnited Kingdom
In The Last Decade
Juan J. Fuertes
63 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Urology 183
- Genetics 302
- Rheumatology 312
- Media Technology 161
- Industrial and Manufacturing Engineering 67
Countries citing papers authored by Juan J. Fuertes
This map shows the geographic impact of Juan J. Fuertes'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 Juan J. Fuertes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan J. Fuertes more than expected).
Fields of papers citing papers by Juan J. Fuertes
This network shows the impact of papers produced by Juan J. Fuertes. 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 Juan J. Fuertes. The network helps show where Juan J. Fuertes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juan J. Fuertes, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 18 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 3 | |
| 10 | 2021 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2017 | 11 | |
| 13 | Treatment of Knee Osteoarthritis With Allogeneic Bone Marrow Mesenchymal Stem Cellsbreakdown → | 2015 | 450 |
| 14 | 2013 | 13 | |
| 15 | 2013 | 18 | |
| 16 | 2013 | 3 | |
| 17 | Laboratorio Remoto para la Enseñanza de la Automática en la Universidad de León (España) | 2010 | 23 |
| 18 | 2010 | 6 | |
| 19 | Maqueta Industrial para Docencia e Investigación | 2004 | 14 |
| 20 | 1993 | 17 |
About Juan J. Fuertes
Juan J. Fuertes is a scholar working on Media Technology, Control and Systems Engineering and Signal Processing, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Experimental Learning in Engineering (24 papers), Neural Networks and Applications (10 papers), Advanced MEMS and NEMS Technologies (9 papers), Industrial Automation and Control Systems (9 papers), Smart Grid Security and Resilience (8 papers), Fault Detection and Control Systems (7 papers), Building Energy and Comfort Optimization (6 papers) and Digital Transformation in Industry (6 papers). The work is most often cited by research in Urology (183 citations), Genetics (302 citations) and Rheumatology (312 citations). Juan J. Fuertes has collaborated with scholars based in Spain, Mexico and United Kingdom. Frequent co-authors include Manuel Domínguez, Miguel A. Prada, Serafín Alonso, Antonio Morán, Javier García‐Sancho, Verónica García, Ana Sánchez, Mercedes Alberca, Robert Soler and Marina Huguet. Their work appears in journals such as Sensors, Neural Computing and Applications, Engineering Applications of Artificial Intelligence, Expert Systems with Applications and Evolving Systems.
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.