David Hoyos

3.3k total citations · 1 hit paper
43 papers, 1.6k citations indexed

About

David Hoyos is a scholar working on Economics and Econometrics, Management, Monitoring, Policy and Law and Marketing. According to data from OpenAlex, David Hoyos has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Economics and Econometrics, 9 papers in Management, Monitoring, Policy and Law and 6 papers in Marketing. Recurrent topics in David Hoyos's work include Economic and Environmental Valuation (23 papers), Environmental Education and Sustainability (7 papers) and Housing Market and Economics (6 papers). David Hoyos is often cited by papers focused on Economic and Environmental Valuation (23 papers), Environmental Education and Sustainability (7 papers) and Housing Market and Economics (6 papers). David Hoyos collaborates with scholars based in Spain, United Kingdom and United States. David Hoyos's co-authors include Petr Mariel, Gorka Bueno, Alberto Longo, Anil Markandya, Stephane Hess, Javier Fernández-Macho, Mikołaj Czajkowski, Jürgen Meyerhoff, Thijs Dekker and Mara Thiene and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

David Hoyos

40 papers receiving 1.5k citations

Hit Papers

The state of the art of environmental valuation with disc... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Hoyos Spain 18 1.1k 400 397 203 199 43 1.6k
Ece Özdemiroğlu United Kingdom 11 1.1k 1.0× 372 0.9× 310 0.8× 114 0.6× 323 1.6× 29 1.5k
Tannis Hett 4 1.7k 1.6× 552 1.4× 473 1.2× 168 0.8× 269 1.4× 5 2.1k
John Swanson United States 3 937 0.9× 316 0.8× 247 0.6× 124 0.6× 181 0.9× 8 1.2k
Bengt Kriström Sweden 22 2.0k 1.8× 451 1.1× 488 1.2× 190 0.9× 226 1.1× 90 2.6k
Nicholas E. Flores United States 16 2.0k 1.9× 544 1.4× 485 1.2× 227 1.1× 244 1.2× 26 2.4k
Ken Willis United Kingdom 27 1.8k 1.7× 706 1.8× 593 1.5× 162 0.8× 511 2.6× 90 2.7k
Mara Thiene Italy 25 1.7k 1.5× 466 1.2× 498 1.3× 400 2.0× 298 1.5× 65 2.5k
Joseph A. Herriges United States 28 2.2k 2.0× 464 1.2× 376 0.9× 333 1.6× 223 1.1× 65 3.0k
Julian Sagebiel Germany 17 544 0.5× 289 0.7× 244 0.6× 101 0.5× 191 1.0× 45 982
Joshua M. Duke United States 20 964 0.9× 414 1.0× 387 1.0× 118 0.6× 267 1.3× 79 1.6k

Countries citing papers authored by David Hoyos

Since Specialization
Citations

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

Fields of papers citing papers by David Hoyos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hoyos

This figure shows the co-authorship network connecting the top 25 collaborators of David Hoyos. A scholar is included among the top collaborators of David Hoyos 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 Hoyos. David Hoyos 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.
Solovyov, Alexander, Julie M. Behr, David Hoyos, et al.. (2025). Pan-cancer multi-omic model of LINE-1 activity reveals locus heterogeneity of retrotransposition efficiency. Nature Communications. 16(1). 2049–2049. 3 indexed citations
2.
Bueno, Gorka, et al.. (2024). Dataset for the life-cycle assessment of the Basque Y high-speed rail line in Spain. Data in Brief. 54. 110472–110472.
3.
Bueno, Gorka, et al.. (2023). Is high-speed rail a sustainable mobility option? A life-cycle assessment of the Basque Y project in Spain. Environmental Impact Assessment Review. 103. 107276–107276. 9 indexed citations
4.
Flores, Iván, et al.. (2022). Accounting for homeowners’ decisions to insulate: A discrete choice model approach in Spain. Energy and Buildings. 273. 112417–112417. 13 indexed citations
5.
Schoenfeld, Adam J., Hira Rizvi, Danish Memon, et al.. (2022). Systemic and Oligo-Acquired Resistance to PD-(L)1 Blockade in Lung Cancer. Clinical Cancer Research. 28(17). 3797–3803. 31 indexed citations
6.
Hoyos, David, Benjamin D. Greenbaum, & Arnold J. Levine. (2022). The genotypes and phenotypes of missense mutations in the proline domain of the p53 protein. Cell Death and Differentiation. 29(5). 938–945. 30 indexed citations
7.
Hoyos, David & Benjamin D. Greenbaum. (2022). Perfecting antigen prediction. The Journal of Experimental Medicine. 219(9). 2 indexed citations
8.
Bueno, Gorka, et al.. (2021). Dataset for the life cycle assessment of the high speed rail network in Spain. SHILAP Revista de lepidopterología. 36. 107006–107006. 5 indexed citations
9.
Mariel, Petr, David Hoyos, Jürgen Meyerhoff, et al.. (2020). Environmental Valuation with Discrete Choice Experiments. Directory of Open access Books (OAPEN Foundation). 132 indexed citations
10.
Mariel, Petr, David Hoyos, Jürgen Meyerhoff, et al.. (2020). Environmental valuation with discrete choice experiments. Technische Universität Berlin – Universitätsbibliothek. 4 indexed citations
11.
12.
Mariel, Petr, et al.. (2018). A multiple indicator solution approach to endogeneity in discrete-choice models for environmental valuation. The Science of The Total Environment. 633. 967–980. 20 indexed citations
13.
Bueno, Gorka, David Hoyos, & Iñigo Capellán‐Pérez. (2017). Evaluating the environmental performance of the high speed rail project in the Basque Country, Spain. Research in Transportation Economics. 62. 44–56. 45 indexed citations
14.
Hoyos, David, et al.. (2016). Regional Differences in the Price Elasticity of Residential Water Demand in Spain. Water Resources Management. 31(3). 847–865. 27 indexed citations
15.
Mariel, Petr, et al.. (2016). Análisis de la demanda residencial de los servicios básicos en España usando un modelo QUAIDS censurado. Scientific Electronic Library Online (Scientific Electronic Library Online). 43(1). 5–28. 5 indexed citations
16.
Hoyos, David, Petr Mariel, & Stephane Hess. (2014). Incorporating environmental attitudes in discrete choice models: An exploration of the utility of the awareness of consequences scale. The Science of The Total Environment. 505. 1100–1111. 78 indexed citations
17.
Hoyos, David, Petr Mariel, & Stephane Hess. (2013). Environmental Value Orientations in Discrete Choice Experiments: A Latent Variables Approach. 5 indexed citations
18.
Garmendia, Eneko, et al.. (2012). Towards a Participatory Integrated Assessment Approach for Planning and Managing Natura 2000 Network Sites. RePEc: Research Papers in Economics. 2 indexed citations
19.
Bermejo, Roberto, Iñaki Arto, David Hoyos, & Eneko Garmendia. (2010). Menos es más: del desarrollo sostenible al decrecimiento sostenible. 1–28. 2 indexed citations
20.
Hoyos, David. (2009). Towards an operational concept of sustainable mobility. International Journal of Sustainable Development and Planning. 4(2). 158–173. 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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