J.M. Sala

2.6k total citations
70 papers, 2.1k citations indexed

About

J.M. Sala is a scholar working on Building and Construction, Mechanical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, J.M. Sala has authored 70 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Building and Construction, 26 papers in Mechanical Engineering and 18 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in J.M. Sala's work include Building Energy and Comfort Optimization (28 papers), Postharvest Quality and Shelf Life Management (12 papers) and Phase Change Materials Research (10 papers). J.M. Sala is often cited by papers focused on Building Energy and Comfort Optimization (28 papers), Postharvest Quality and Shelf Life Management (12 papers) and Phase Change Materials Research (10 papers). J.M. Sala collaborates with scholars based in Spain, Italy and Brazil. J.M. Sala's co-authors include Marı́a T. Lafuente, Álvaro Campos‐Celador, Koldobika Martín-Escudero, Iván Flores, Gonzalo Diarce, Aitor Erkoreka, A. García–Romero, C. Escudero, Luis M. López-González and Lorenzo Zacarı́as and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Applied Energy and Energy Policy.

In The Last Decade

J.M. Sala

70 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J.M. Sala Spain 31 733 678 639 407 342 70 2.1k
Mehdi Khojastehpour Iran 24 179 0.2× 374 0.6× 208 0.3× 146 0.4× 261 0.8× 89 1.6k
I.M. Al-Helal Saudi Arabia 30 300 0.4× 765 1.1× 338 0.5× 1.2k 3.0× 322 0.9× 75 2.3k
Chuanping Liu China 19 95 0.1× 405 0.6× 568 0.9× 247 0.6× 83 0.2× 89 1.7k
Tuncay Yılmaz Türkiye 24 527 0.7× 58 0.1× 823 1.3× 232 0.6× 226 0.7× 56 1.5k
Om Prakash India 27 209 0.3× 772 1.1× 745 1.2× 835 2.1× 120 0.4× 112 2.3k
Anjum Munir Pakistan 21 93 0.1× 326 0.5× 432 0.7× 447 1.1× 84 0.2× 85 1.7k
Can Ertekin Türkiye 24 93 0.1× 606 0.9× 478 0.7× 598 1.5× 170 0.5× 75 3.4k
Réda Djebbar Algeria 15 336 0.5× 277 0.4× 183 0.3× 335 0.8× 209 0.6× 38 1.0k
Abdelhamid Farhat Tunisia 26 319 0.4× 530 0.8× 1.2k 1.9× 1.3k 3.2× 103 0.3× 47 2.1k
V. P. Chandramohan India 33 570 0.8× 651 1.0× 1.9k 2.9× 1.1k 2.8× 120 0.4× 128 3.2k

Countries citing papers authored by J.M. Sala

Since Specialization
Citations

This map shows the geographic impact of J.M. Sala'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 J.M. Sala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.M. Sala more than expected).

Fields of papers citing papers by J.M. Sala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Sala. 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 J.M. Sala. The network helps show where J.M. Sala may publish in the future.

Co-authorship network of co-authors of J.M. Sala

This figure shows the co-authorship network connecting the top 25 collaborators of J.M. Sala. A scholar is included among the top collaborators of J.M. Sala based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.M. Sala. J.M. Sala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Campos‐Celador, Álvaro, et al.. (2019). Dynamic neural networks to analyze the behavior of phase change materials embedded in building envelopes. Applied Thermal Engineering. 158. 113783–113783. 30 indexed citations
2.
Martín-Escudero, Koldobika, et al.. (2018). Ventilation requirements based on carbon dioxide concentration criteria: implications on IAQ and energy use. International Journal of Ventilation. 17(4). 256–271. 1 indexed citations
3.
Campos‐Celador, Álvaro, et al.. (2017). A general model for the optimization of energy supply systems of buildings. Energy. 138. 954–966. 23 indexed citations
4.
Garrido, Izaskun, et al.. (2016). Optimization of the Heating System Use in Aged Public Buildings via Model Predictive Control. Energies. 9(4). 251–251. 14 indexed citations
5.
González-Pino, I., Estibaliz Pérez-Iribarren, Álvaro Campos‐Celador, Jesús Las‐Heras‐Casas, & J.M. Sala. (2015). Influence of the regulation framework on the feasibility of a Stirling engine-based residential micro-CHP installation. Energy. 84. 575–588. 30 indexed citations
6.
Diarce, Gonzalo, et al.. (2014). A comparative study of the CFD modeling of a ventilated active façade including phase change materials. Applied Energy. 126. 307–317. 84 indexed citations
7.
Terés-Zubiaga, Jon, Koldobika Martín-Escudero, Aitor Erkoreka, & J.M. Sala. (2013). Field assessment of thermal behaviour of social housing apartments in Bilbao, Northern Spain. Energy and Buildings. 67. 118–135. 48 indexed citations
8.
Martín-Escudero, Koldobika, C. Escudero, Aitor Erkoreka, Iván Flores, & J.M. Sala. (2012). Equivalent wall method for dynamic characterisation of thermal bridges. Energy and Buildings. 55. 704–714. 55 indexed citations
9.
Campos‐Celador, Álvaro, et al.. (2011). Implications of the modelling of stratified hot water storage tanks in the simulation of CHP plants. Energy Conversion and Management. 52(8-9). 3018–3026. 119 indexed citations
10.
Martín-Escudero, Koldobika, et al.. (2010). Problems in the calculation of thermal bridges in dynamic conditions. Energy and Buildings. 43(2-3). 529–535. 84 indexed citations
11.
Martín-Escudero, Koldobika, et al.. (2009). Methodology for the calculation of response factors through experimental tests and validation with simulation. Energy and Buildings. 42(4). 461–467. 41 indexed citations
12.
Sala, Antonio, et al.. (2008). Cogeneration technology for the metal-processing sector. Applied Energy. 85(6). 516–527. 3 indexed citations
13.
Sala, J.M., et al.. (2006). Optimising ventilation-system design for a container-housed engine. Applied Energy. 83(10). 1125–1138. 7 indexed citations
14.
Sala, J.M., et al.. (2006). Exergetic analysis and thermoeconomic study for a container-housed engine. Applied Thermal Engineering. 26(16). 1840–1850. 14 indexed citations
15.
Lafuente, Marı́a T., Lorenzo Zacarı́as, J.M. Sala, et al.. (2005). UNDERSTANDING THE BASIS OF CHILLING INJURY IN CITRUS FRUIT. Acta Horticulturae. 831–842. 25 indexed citations
16.
Sala, J.M., et al.. (1999). Carbohydrate Content and Metabolism As Related to Maturity and Chilling Sensitivity of Cv. Fortune Mandarins. Journal of Agricultural and Food Chemistry. 47(7). 2513–2518. 38 indexed citations
17.
López-González, Luis M., et al.. (1998). Determination of energy and exergy of waste heat in the industry of the Basque country. Applied Thermal Engineering. 18(3-4). 187–197. 20 indexed citations
18.
Sala, J.M., et al.. (1993). Contribución al mapa geohidrológico de la provincia de Buenos Aires. 1 indexed citations
19.
Sala, J.M., et al.. (1987). Investigación hidrológica de la Cuenca del Arroyo Azul, provincia de Buenos Aires. Americanae (AECID Library). 37. 15 indexed citations
20.
Rubio, Luis A., et al.. (1980). Influencia del riego sobre la distribución en el perfil del suelo, del nitrógeno incorporado en forma de nitrato cálcico, sulfato amónico y urea. Revista de agroquímica y tecnología de alimentos. 20(1). 87–94. 1 indexed citations

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.

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