Sara Giarola

884 total citations
27 papers, 674 citations indexed

About

Sara Giarola is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Environmental Engineering. According to data from OpenAlex, Sara Giarola has authored 27 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Renewable Energy, Sustainability and the Environment, 10 papers in Electrical and Electronic Engineering and 8 papers in Environmental Engineering. Recurrent topics in Sara Giarola's work include Integrated Energy Systems Optimization (9 papers), Global Energy and Sustainability Research (8 papers) and Environmental Impact and Sustainability (7 papers). Sara Giarola is often cited by papers focused on Integrated Energy Systems Optimization (9 papers), Global Energy and Sustainability Research (8 papers) and Environmental Impact and Sustainability (7 papers). Sara Giarola collaborates with scholars based in United Kingdom, Italy and Ecuador. Sara Giarola's co-authors include Adam Hawkes, Nilay Shah, Fabrizio Bezzo, Ausilio Bauen, Antonio Pantaleo, Diego Moya, Iván García Kerdan, Kathleen Vaillancourt, Sara Budinis and Olivier Bahn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Journal of Cleaner Production.

In The Last Decade

Sara Giarola

25 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Giarola United Kingdom 16 192 173 164 144 128 27 674
Nathan Parker United States 17 212 1.1× 240 1.4× 216 1.3× 239 1.7× 291 2.3× 48 974
Jorge Islas Mexico 16 113 0.6× 185 1.1× 172 1.0× 53 0.4× 169 1.3× 40 708
Athanasios Tolis Greece 12 162 0.8× 88 0.5× 197 1.2× 403 2.8× 376 2.9× 33 920
Damiana Chinese Italy 15 154 0.8× 107 0.6× 103 0.6× 67 0.5× 101 0.8× 24 637
Luc Pelkmans Belgium 16 91 0.5× 164 0.9× 215 1.3× 73 0.5× 235 1.8× 41 1.0k
Akram Avami Iran 17 95 0.5× 123 0.7× 181 1.1× 47 0.3× 88 0.7× 42 663
Kristina Holmgren Sweden 15 238 1.2× 243 1.4× 191 1.2× 40 0.3× 156 1.2× 31 739
Kenji Yamaji Japan 17 263 1.4× 206 1.2× 194 1.2× 54 0.4× 170 1.3× 69 864
Ángel Pérez-Navarro Spain 15 319 1.7× 92 0.5× 108 0.7× 193 1.3× 128 1.0× 41 871
Fouad Al-Mansour Slovenia 13 183 1.0× 245 1.4× 179 1.1× 45 0.3× 168 1.3× 22 763

Countries citing papers authored by Sara Giarola

Since Specialization
Citations

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

Fields of papers citing papers by Sara Giarola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Giarola

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Giarola. A scholar is included among the top collaborators of Sara Giarola 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 Sara Giarola. Sara Giarola 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
2.
Wachsmuth, Jakob, Philine Warnke, Ajay Gambhir, et al.. (2023). Co-creating socio-technical scenarios for net-zero emission pathways: Comparison of five national case studies. SHILAP Revista de lepidopterología. 4. 100064–100064. 12 indexed citations
3.
Moya, Diego, et al.. (2023). MUSE-RASA captures human dimension in climate-energy-economic models via global geoAI-ML agent datasets. Scientific Data. 10(1). 693–693. 2 indexed citations
4.
Hawkes, Adam, et al.. (2023). The future of road freight transport and alternative technologies: A case study for Italy. Energy Conversion and Management. 299. 117819–117819. 7 indexed citations
5.
Giarola, Sara, et al.. (2023). The role of hydrogen in a decarbonised future transport sector: A case study of Mexico. Energy Reports. 9. 26–31. 10 indexed citations
6.
Moya, Diego, et al.. (2022). Geospatial and temporal estimation of climatic, end-use demands, and socioeconomic drivers of energy consumption in the residential sector in Ecuador. Energy Conversion and Management. 261. 115629–115629. 6 indexed citations
7.
Moya, Diego, Sara Giarola, & Adam Hawkes. (2021). Geospatial Big Data analytics to model the long-term sustainable transition of residential heating worldwide. 2021 IEEE International Conference on Big Data (Big Data). 4035–4046. 6 indexed citations
8.
Giarola, Sara, et al.. (2021). The role of energy storage in the uptake of renewable energy: A model comparison approach. Energy Policy. 151. 112159–112159. 42 indexed citations
9.
Giarola, Sara, et al.. (2021). Solidarity measures: Assessment of strategic gas storage on EU regional risk groups natural gas supply resilience. Applied Energy. 308. 118356–118356. 22 indexed citations
10.
Budinis, Sara, Julia Sachs, Sara Giarola, & Adam Hawkes. (2020). An agent-based modelling approach to simulate the investment decision of industrial enterprises. Journal of Cleaner Production. 267. 121835–121835. 16 indexed citations
11.
Huntington, Hillard G., D. Daniels, John P. Weyant, et al.. (2020). Key findings from the core North American scenarios in the EMF34 intermodel comparison. Energy Policy. 144. 111599–111599. 26 indexed citations
12.
Kerdan, Iván García, et al.. (2020). Modelling Future Agricultural Mechanisation of Major Crops in China: An Assessment of Energy Demand, Land Use and Emissions. Energies. 13(24). 6636–6636. 4 indexed citations
13.
Moya, Diego, Sara Budinis, Sara Giarola, & Adam Hawkes. (2020). Agent-based scenarios comparison for assessing fuel-switching investment in long-term energy transitions of the India’s industry sector. Applied Energy. 274. 115295–115295. 16 indexed citations
14.
Moya, Diego, et al.. (2019). Clustered spatially and temporally resolved global heat and cooling energy demand in the residential sector. Applied Energy. 250. 48–62. 42 indexed citations
15.
Kerdan, Iván García, et al.. (2019). Modelling cost-effective pathways for natural gas infrastructure: A southern Brazil case study. Applied Energy. 255. 113799–113799. 23 indexed citations
16.
Speirs, Jamie, Paul Balcombe, Marc Stettler, et al.. (2019). Natural gas fuel and greenhouse gas emissions in trucks and ships. Queen Mary Research Online (Queen Mary University of London). 2(1). 12002–12002. 24 indexed citations
17.
Giarola, Sara, et al.. (2018). A dynamic model of global natural gas supply. Applied Energy. 218. 452–469. 46 indexed citations
18.
Pantaleo, Antonio, Sara Giarola, Ausilio Bauen, & Nilay Shah. (2014). Integration of biomass into urban energy systems for heat and power. Part II: Sensitivity assessment of main techno-economic factors. Energy Conversion and Management. 83. 362–376. 41 indexed citations
19.
Pantaleo, Antonio, Sara Giarola, Ausilio Bauen, & Nilay Shah. (2014). Integration of biomass into urban energy systems for heat and power. Part I: An MILP based spatial optimization methodology. Energy Conversion and Management. 83. 347–361. 56 indexed citations
20.
Giarola, Sara, Nilay Shah, & Fabrizio Bezzo. (2011). A comprehensive approach to the design of ethanol supply chains including carbon trading effects. Bioresource Technology. 107. 175–185. 116 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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