Bruno Lacarrière

1.8k total citations
49 papers, 1.3k citations indexed

About

Bruno Lacarrière is a scholar working on Electrical and Electronic Engineering, Building and Construction and Environmental Engineering. According to data from OpenAlex, Bruno Lacarrière has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 24 papers in Building and Construction and 14 papers in Environmental Engineering. Recurrent topics in Bruno Lacarrière's work include Integrated Energy Systems Optimization (23 papers), Building Energy and Comfort Optimization (22 papers) and Hybrid Renewable Energy Systems (10 papers). Bruno Lacarrière is often cited by papers focused on Integrated Energy Systems Optimization (23 papers), Building Energy and Comfort Optimization (22 papers) and Hybrid Renewable Energy Systems (10 papers). Bruno Lacarrière collaborates with scholars based in France, Portugal and United States. Bruno Lacarrière's co-authors include Olivier Le Corre, Ivan Andrić, Paulo Ferrão, David García-Sánchez, Pierrick Haurant, André Pina, Björn Laumert, Viktoria Martin, Justin NingWei Chiu and Nana Yaw Amponsah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Bruno Lacarrière

48 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Lacarrière France 23 697 519 489 270 186 49 1.3k
Gülden Gökçen Akkurt Türkiye 22 495 0.7× 244 0.5× 304 0.6× 324 1.2× 319 1.7× 63 1.3k
Cristina Baglivo Italy 28 1.2k 1.7× 376 0.7× 522 1.1× 472 1.7× 290 1.6× 80 2.0k
Yan Ding China 27 1.1k 1.6× 649 1.3× 595 1.2× 303 1.1× 330 1.8× 75 1.7k
Donatien Njomo Cameroon 19 545 0.8× 333 0.6× 405 0.8× 624 2.3× 281 1.5× 77 1.8k
Caterina Brandoni United Kingdom 19 216 0.3× 407 0.8× 182 0.4× 320 1.2× 337 1.8× 45 1.2k
Guangya Jin China 16 659 0.9× 253 0.5× 360 0.7× 516 1.9× 394 2.1× 29 1.3k
Domenico Mazzeo Italy 32 899 1.3× 802 1.5× 726 1.5× 533 2.0× 511 2.7× 81 2.7k
Kenneth Bernard Karlsson Denmark 21 271 0.4× 1.1k 2.0× 314 0.6× 690 2.6× 138 0.7× 52 1.7k
Cesare Forzano Italy 26 667 1.0× 609 1.2× 324 0.7× 579 2.1× 360 1.9× 56 1.7k

Countries citing papers authored by Bruno Lacarrière

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Lacarrière

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno Lacarrière. 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 Bruno Lacarrière. The network helps show where Bruno Lacarrière may publish in the future.

Co-authorship network of co-authors of Bruno Lacarrière

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Lacarrière. A scholar is included among the top collaborators of Bruno Lacarrière 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 Bruno Lacarrière. Bruno Lacarrière 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.
Lacarrière, Bruno, et al.. (2025). Neural-Accelerated Dynamic modeling of heat pumps. Applied Thermal Engineering. 274. 126653–126653. 2 indexed citations
2.
Pasdeloup, Bastien, et al.. (2024). Topology reduction through machine learning to accelerate dynamic simulation of district heating. Energy and AI. 17. 100393–100393. 2 indexed citations
3.
Lacarrière, Bruno, et al.. (2024). A hybrid model for packed bed thermal energy storage system. Journal of Energy Storage. 98. 113068–113068. 6 indexed citations
4.
Lamaison, Nicolas, et al.. (2023). Optimization framework for evaluating urban thermal systems potential. Energy. 270. 126851–126851. 5 indexed citations
5.
Lacarrière, Bruno, et al.. (2023). A Fast Heuristic Algorithm for Multi-Energy System Design. HAL (Le Centre pour la Communication Scientifique Directe). 1432–1443. 1 indexed citations
6.
Mohammadi, Mehrdad, et al.. (2023). Handling Non-Linearities in Modelling the Optimal Design and Operation of a Multi-Energy System. Mathematics. 11(23). 4855–4855. 2 indexed citations
7.
Lacarrière, Bruno, et al.. (2022). Optimal Allocation and Sizing of Renewable Energy Sources and Storage Systems to Support Over-Solicited Electricity Grid. SPIRE - Sciences Po Institutional REpository. 14–21. 2 indexed citations
8.
Lamaison, Nicolas, et al.. (2021). Techno-economic relevance of absorption chillers to enhance existing 3GDH. Energy Reports. 7. 282–293. 1 indexed citations
9.
Haurant, Pierrick, et al.. (2021). Optimal heat and electric power flows in the presence of intermittent renewable source, heat storage and variable grid electricity tariff. Energy Conversion and Management. 243. 114430–114430. 26 indexed citations
10.
Haurant, Pierrick, et al.. (2021). Electrified district heating networks: a thermo-economic optimisation based on exergy and energy analyses. International Journal of Exergy. 35(1). 100–100. 2 indexed citations
11.
Andrić, Ivan, et al.. (2017). The impact of climate change on building heat demand in different climate types. Energy and Buildings. 149. 225–234. 69 indexed citations
12.
Andrić, Ivan, André Pina, Paulo Ferrão, Bruno Lacarrière, & Olivier Le Corre. (2017). The impact of renovation measures on building environmental performance: An emergy approach. Journal of Cleaner Production. 162. 776–790. 36 indexed citations
13.
Andrić, Ivan, André Pina, Paulo Ferrão, Bruno Lacarrière, & Olivier Le Corre. (2016). On the performance of district heating systems in urban environment: an emergy approach. Journal of Cleaner Production. 142. 109–120. 35 indexed citations
14.
Couturier, Stéphane, et al.. (2016). A relevant data selection method for energy consumption prediction of low energy building based on support vector machine. Energy and Buildings. 138. 240–256. 136 indexed citations
15.
Lacarrière, Bruno, et al.. (2015). Emergy assessment of the benefits of closed-loop recycling accounting for material losses. Ecological Modelling. 315. 77–87. 15 indexed citations
16.
García-Sánchez, David, et al.. (2014). Application of sensitivity analysis in building energy simulations: Combining first- and second-order elementary effects methods. HAL (Le Centre pour la Communication Scientifique Directe). 177 indexed citations
17.
Lacarrière, Bruno, et al.. (2014). Study of a district heating substation using the return water of the main system to service a low-temperature secondary network. 6 indexed citations
18.
Corre, Olivier Le, et al.. (2013). Mineral resource assessment: Compliance between emergy and exergy respecting Odum's hierarchy concept. Ecological Modelling. 272. 208–219. 6 indexed citations
19.
Lacarrière, Bruno, et al.. (2013). Application Of A District Heating Network (dhn) Model For An Ex-ante Evaluation To Support A Multi-sources Dh. Building Simulation Conference proceedings. 13. 2 indexed citations
20.
Lacarrière, Bruno, et al.. (2002). Numerical study of heat transfer in a wall of vertically perforated bricks: influence of assembly method. Energy and Buildings. 35(3). 229–237. 22 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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