Dominique Marchio

1.9k total citations
60 papers, 1.4k citations indexed

About

Dominique Marchio is a scholar working on Building and Construction, Mechanical Engineering and Environmental Engineering. According to data from OpenAlex, Dominique Marchio has authored 60 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Building and Construction, 23 papers in Mechanical Engineering and 17 papers in Environmental Engineering. Recurrent topics in Dominique Marchio's work include Building Energy and Comfort Optimization (41 papers), Refrigeration and Air Conditioning Technologies (17 papers) and Wind and Air Flow Studies (14 papers). Dominique Marchio is often cited by papers focused on Building Energy and Comfort Optimization (41 papers), Refrigeration and Air Conditioning Technologies (17 papers) and Wind and Air Flow Studies (14 papers). Dominique Marchio collaborates with scholars based in France, United States and Belgium. Dominique Marchio's co-authors include Pascal Stabat, Shuqing Cui, Michael R. Cohen, Stéphane Ginestet, Michel Bernier, M. Philippe, Philippe Rivière, Peter Riederer, Elias Kinab and Assaad Zoughaïb and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and Energy.

In The Last Decade

Dominique Marchio

59 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
Dominique Marchio France 20 821 606 446 332 184 60 1.4k
Behrang Sajadi Iran 23 1.0k 1.3× 599 1.0× 686 1.5× 416 1.3× 155 0.8× 70 1.9k
Pascal Stabat France 18 686 0.8× 522 0.9× 320 0.7× 171 0.5× 182 1.0× 47 1.2k
V. I. Hanby United Kingdom 17 819 1.0× 364 0.6× 451 1.0× 425 1.3× 82 0.4× 50 1.3k
Martti Viljanen Finland 16 545 0.7× 266 0.4× 263 0.6× 136 0.4× 51 0.3× 37 1.0k
Christian Ghiaus France 20 1.1k 1.4× 562 0.9× 251 0.6× 188 0.6× 43 0.2× 54 1.4k
Adam Rysanek Canada 16 900 1.1× 496 0.8× 126 0.3× 182 0.5× 82 0.4× 51 1.1k
Zhihong Pang United States 16 718 0.9× 324 0.5× 127 0.3× 247 0.7× 89 0.5× 36 1.2k
Eusébio Conceição Portugal 14 791 1.0× 441 0.7× 167 0.4× 77 0.2× 126 0.7× 53 946
Nima Izadyar Australia 15 304 0.4× 311 0.5× 129 0.3× 121 0.4× 105 0.6× 32 847
C.K. Lee Hong Kong 23 770 0.9× 406 0.7× 1.1k 2.4× 920 2.8× 148 0.8× 56 1.9k

Countries citing papers authored by Dominique Marchio

Since Specialization
Citations

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

Fields of papers citing papers by Dominique Marchio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominique Marchio

This figure shows the co-authorship network connecting the top 25 collaborators of Dominique Marchio. A scholar is included among the top collaborators of Dominique Marchio 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 Dominique Marchio. Dominique Marchio 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.
Stabat, Pascal, et al.. (2020). Urban Energy Models Validation in Data Scarcity Context: Case of the Electricity Consumption in the French Residential Sector. Building Simulation Conference proceedings. 16. 3140–3147. 8 indexed citations
2.
Stabat, Pascal, et al.. (2018). A comparison of methods for uncertainty and sensitivity analysis applied to the energy performance of new commercial buildings. Energy and Buildings. 166. 489–504. 42 indexed citations
3.
Stabat, Pascal, et al.. (2017). Assessment of an Internal Combustion Engine Micro-CHP Operation for Different Office Buildings Performance Scenarios. Building Simulation Conference proceedings. 1 indexed citations
4.
Rivière, Philippe, et al.. (2015). Smart-E : A Tool for Energy Demand Simulation And Optimization At the City Scale. Building Simulation Conference proceedings. 14. 9 indexed citations
5.
Siroux, Monica, et al.. (2014). Dynamic model based on experimental investigations of a wood pellet steam engine micro CHP for building energy simulation. Applied Thermal Engineering. 73(1). 1041–1054. 20 indexed citations
6.
Cui, Shuqing, et al.. (2013). Development of a new correlation for single-sided natural ventilation adapted to leeward conditions. Energy and Buildings. 60. 372–382. 52 indexed citations
7.
Stabat, Pascal, et al.. (2013). Optimal Control For Building Heating: An Elementary School Case Study. Building Simulation Conference proceedings. 7 indexed citations
8.
Rivière, Philippe, et al.. (2013). In situ measurement methods of air to air heat pump performance. International Journal of Refrigeration. 36(5). 1442–1455. 14 indexed citations
9.
Stabat, Pascal, et al.. (2012). COMPARATIVE ANALYSIS OF AIR-TO-AIR HEAT PUMP MODELS FOR BUILDING ENERGY SIMULATION Hubert. Proceedings of SimBuild. 5(1). 136–143. 2 indexed citations
10.
Rivière, Philippe, et al.. (2012). Refrigerant-based measurement method of heat pump seasonal performances. International Journal of Refrigeration. 35(6). 1583–1594. 15 indexed citations
11.
Stabat, Pascal, et al.. (2011). Numerical simulation of single-sided ventilation using RANS and LES and comparison with full-scale experiments. Building and Environment. 50. 202–213. 107 indexed citations
12.
Marchio, Dominique, et al.. (2011). Parametric models of energy consumption based on experimental designs and applied to building-system dynamic simulation. Journal of Building Performance Simulation. 5(5). 277–299. 5 indexed citations
13.
Stabat, Pascal, et al.. (2011). Full scale experimental study of single-sided ventilation: Analysis of stack and wind effects. Energy and Buildings. 43(7). 1765–1773. 91 indexed citations
14.
Ginestet, Stéphane & Dominique Marchio. (2010). Retro and on-going commissioning tool applied to an existing building: Operability and results of IPMVP. Energy. 35(4). 1717–1723. 28 indexed citations
15.
Ginestet, Stéphane & Dominique Marchio. (2010). Control tuning of a simplified VAV system: Methodology and impact on energy consumption and IAQ. Energy and Buildings. 42(8). 1205–1214. 20 indexed citations
16.
Rivière, Philippe, et al.. (2008). Preparatory study on the environmental performance of residential room conditioning appliances (airco and ventilation). 14 indexed citations
17.
Stabat, Pascal & Dominique Marchio. (2007). Heat-and-mass transfers modelled for rotary desiccant dehumidifiers. Applied Energy. 85(2-3). 128–142. 28 indexed citations
18.
Marchio, Dominique, et al.. (2002). Simplified Model for the Operation of Chilled Water Cooling Coils Under Nonnominal Conditions. HVAC&R Research. 8(2). 135–158. 15 indexed citations
19.
Marchio, Dominique, et al.. (2000). SIMPLE MODELLING FOR ENERGY CONSUMPTION ESTIMATION IN AIR CONDITIONNED BUILDINGS. 3 indexed citations
20.
Heyen, Georges, et al.. (1994). Dynamic simulation and control of gas turbines and compressor systems. Computers & Chemical Engineering. 18(11-12). 1071–1082. 7 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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