David Bonilla

866 total citations
33 papers, 610 citations indexed

About

David Bonilla is a scholar working on Renewable Energy, Sustainability and the Environment, Automotive Engineering and Economics and Econometrics. According to data from OpenAlex, David Bonilla has authored 33 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Renewable Energy, Sustainability and the Environment, 11 papers in Automotive Engineering and 11 papers in Economics and Econometrics. Recurrent topics in David Bonilla's work include Energy, Environment, and Transportation Policies (12 papers), Electric Vehicles and Infrastructure (9 papers) and Vehicle emissions and performance (8 papers). David Bonilla is often cited by papers focused on Energy, Environment, and Transportation Policies (12 papers), Electric Vehicles and Infrastructure (9 papers) and Vehicle emissions and performance (8 papers). David Bonilla collaborates with scholars based in United Kingdom, Mexico and Japan. David Bonilla's co-authors include David Banister, Justin D.K. Bishop, Colin J. Axon, Malcolm McCulloch, Martino Tran, Moshe Givoni, Karen Anderton, Tim Schwanen, Jiaoe Wang and Atsushi Akisawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Energy Policy.

In The Last Decade

David Bonilla

29 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Bonilla United Kingdom 12 269 257 148 118 117 33 610
Anastasios Tsakalidis Italy 13 251 0.9× 195 0.8× 72 0.5× 127 1.1× 47 0.4× 46 522
Mariangela Scorrano Italy 15 378 1.4× 490 1.9× 328 2.2× 214 1.8× 110 0.9× 38 867
Wolfgang Grimme Germany 14 144 0.5× 67 0.3× 111 0.8× 127 1.1× 108 0.9× 81 765
Marco Giansoldati Italy 13 350 1.3× 488 1.9× 329 2.2× 77 0.7× 117 1.0× 28 716
John Paul Helveston United States 9 216 0.8× 436 1.7× 382 2.6× 45 0.4× 168 1.4× 23 736
Agnieszka Stefaniec Ireland 10 129 0.5× 106 0.4× 84 0.6× 137 1.2× 77 0.7× 12 452
Stephanie Hirmer United Kingdom 13 115 0.4× 213 0.8× 98 0.7× 24 0.2× 54 0.5× 37 555
Zhihong Zhu China 11 189 0.7× 214 0.8× 57 0.4× 58 0.5× 120 1.0× 30 533
Stefan Tscharaktschiew Germany 15 239 0.9× 112 0.4× 167 1.1× 443 3.8× 206 1.8× 32 704
Paul A. Steenhof Canada 8 207 0.8× 234 0.9× 182 1.2× 30 0.3× 163 1.4× 16 568

Countries citing papers authored by David Bonilla

Since Specialization
Citations

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

Fields of papers citing papers by David Bonilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Bonilla

This figure shows the co-authorship network connecting the top 25 collaborators of David Bonilla. A scholar is included among the top collaborators of David Bonilla 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 David Bonilla. David Bonilla 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.
Bonilla, David, et al.. (2025). A Stochastic Adaptive Robust Optimization Approach to Build Day-Ahead Bidding Curves for an EV Aggregator. IEEE Transactions on Industry Applications. 62(1). 244–256.
2.
Bonilla, David, et al.. (2024). Decoupling transport-CO2 emissions: Mexico, Spain and The USA: A trend analysis. Transportation Research Part D Transport and Environment. 137. 104510–104510.
3.
Baringo, Luis, et al.. (2024). Building Bidding Curves for an EV Aggregator via Stochastic Adaptive Robust Optimization. 1–6. 2 indexed citations
4.
Bonilla, David, et al.. (2022). Tax or Clean Technology? Measuring the True Effect on Carbon Emissions Mitigation for Sweden and Norway. Energies. 15(11). 3885–3885. 4 indexed citations
5.
Bonilla, David, et al.. (2022). Energías renovables, PIB, mercados financieros e investigación: la experiencia de América latina. 2000-2019. SHILAP Revista de lepidopterología. 17(4). 1–46. 1 indexed citations
6.
Bonilla, David, et al.. (2022). EL EFECTO REBOTE DEL CONSUMO DE GAS NATURAL: EL CASO DE GENERACIÓN ELÉCTRICA EN LA REFORMA ENERGÉTICA. Investigación Económica. 81(321). 174–174. 1 indexed citations
7.
Bonilla, David, Colin J. Axon, & Justin D.K. Bishop. (2020). Resource Rents, Democracy & the Eight Policy Lessons. SHILAP Revista de lepidopterología. 15(4). 599–620. 1 indexed citations
8.
Bonilla, David, et al.. (2019). Projecting the energy pathway using a methodological sequence: The case of Mexico. Energy Policy. 135. 111069–111069. 2 indexed citations
9.
Bonilla, David. (2019). Air Power and Freight: The View from the European Union and China. 1 indexed citations
10.
Bonilla, David. (2019). Air Power and Freight.
11.
Bishop, Justin D.K., Colin J. Axon, David Bonilla, & David Banister. (2015). Estimating the grid payments necessary to compensate additional costs to prospective electric vehicle owners who provide vehicle-to-grid ancillary services. Energy. 94. 715–727. 28 indexed citations
12.
Bonilla, David, Justin D.K. Bishop, Colin J. Axon, & David Banister. (2014). Innovation, the diesel engine and vehicle markets: Evidence from OECD engine patents. Transportation Research Part D Transport and Environment. 27. 51–58. 23 indexed citations
13.
Bishop, Justin D.K., Colin J. Axon, David Bonilla, et al.. (2013). Evaluating the impact of V2G services on the degradation of batteries in PHEV and EV. Applied Energy. 111. 206–218. 166 indexed citations
14.
Bonilla, David. (2012). Fuel Taxes, Fuel Economy of Vehicles and Costs of Conserved Energy: The Case of the European Union.. SSRN Electronic Journal. 1 indexed citations
15.
Bishop, Justin D.K., Colin J. Axon, David Banister, et al.. (2011). Using non-parametric statistics to identify the best pathway for supplying hydrogen as a road transport fuel. International Journal of Hydrogen Energy. 36(15). 9382–9395. 4 indexed citations
16.
Bonilla, David & Timothy J. Foxon. (2009). Demand for New Car Fuel Economy in the UK, 1970–2005. Journal of transport economics and policy. 43(1). 55–83. 17 indexed citations
17.
Bonilla, David & Carly Whittaker. (2009). Freight transport and deployment of bioenergy in the UK. Oxford University Research Archive (ORA) (University of Oxford). 3 indexed citations
18.
Bonilla, David. (2006). The demand for gasoline of passenger vehicles in Japan to 2010: a vehicle stock and vehicle efficiency approach. 1 indexed citations
19.
Bonilla, David, Atsushi Akisawa, & Takao Kashiwagi. (2003). Modelling the adoption of industrial cogeneration in Japan using manufacturing plant survey data. Energy Policy. 31(9). 895–910. 17 indexed citations
20.
Bonilla, David, Atsushi Akisawa, & Takao Kashiwagi. (2002). The adoption of cogeneration in the Japanese manufacturing sector: technological, economic and institutional determinants. International Journal of Energy Technology and Policy. 1(1/2). 181–181. 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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