M.C. Pegalajar
- Bioengineering top 5%
- Analytical Chemistry and Sensors 10
- Artificial Intelligence top 5%
- Neural Networks and Applications 21
- Evolutionary Algorithms and Applications 8
- Fuzzy Logic and Control Systems 8
- Solar Radiation and Photovoltaics 7
- Building and Construction top 5%
- Building Energy and Comfort Optimization 8
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- Energy Load and Power Forecasting 20
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- Advanced Chemical Sensor Technologies 8
- Co-authors
- Manuel Pegalájar CuéllarMiguel Delgado‐RodríguezL. G. B. RuizArmando BlancoL.F. Capitán‐VallveyIgnacio de Orbe-PayáManuel I. CapelMiguel Molina-Solana
- Partner nations
- SpainSaudi ArabiaUnited Kingdom
In The Last Decade
M.C. Pegalajar
73 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 127
- Bioengineering 110
- Artificial Intelligence 418
- Computer Science Applications 66
- Building and Construction 147
- Management Science and Operations Research 107
Countries citing papers authored by M.C. Pegalajar
This map shows the geographic impact of M.C. Pegalajar'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 M.C. Pegalajar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.C. Pegalajar more than expected).
Fields of papers citing papers by M.C. Pegalajar
This network shows the impact of papers produced by M.C. Pegalajar. 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 M.C. Pegalajar. The network helps show where M.C. Pegalajar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M.C. Pegalajar, 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 | 2025 | 3 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 16 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 15 | |
| 15 | 2020 | 17 | |
| 16 | Individual Learning Strategies in Novels Students of Education | 2019 | 1 |
| 17 | 2011 | 10 | |
| 18 | 2008 | 41 | |
| 19 | 2001 | 21 | |
| 20 | 2000 | 60 |
About M.C. Pegalajar
M.C. Pegalajar is a scholar working on Bioengineering, Artificial Intelligence and Building and Construction, having authored 75 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (21 papers), Energy Load and Power Forecasting (20 papers), Analytical Chemistry and Sensors (10 papers), Building Energy and Comfort Optimization (8 papers), Evolutionary Algorithms and Applications (8 papers), Advanced Chemical Sensor Technologies (8 papers), Fuzzy Logic and Control Systems (8 papers) and Solar Radiation and Photovoltaics (7 papers). The work is most often cited by research in Bioengineering (110 citations), Artificial Intelligence (418 citations) and Computer Science Applications (66 citations). M.C. Pegalajar has collaborated with scholars based in Spain, Saudi Arabia and United Kingdom. Frequent co-authors include Manuel Pegalájar Cuéllar, Miguel Delgado‐Rodríguez, L. G. B. Ruiz, Armando Blanco, L.F. Capitán‐Vallvey, Ignacio de Orbe-Payá, Manuel I. Capel, Miguel Molina-Solana, Alfonso Salinas‐Castillo and Rossella Arcucci.
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.