Jonathan Agüero-Valverde

1.4k total citations
38 papers, 1.2k citations indexed

About

Jonathan Agüero-Valverde is a scholar working on Safety, Risk, Reliability and Quality, Transportation and Economics and Econometrics. According to data from OpenAlex, Jonathan Agüero-Valverde has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Safety, Risk, Reliability and Quality, 12 papers in Transportation and 8 papers in Economics and Econometrics. Recurrent topics in Jonathan Agüero-Valverde's work include Traffic and Road Safety (24 papers), Urban Transport and Accessibility (11 papers) and Injury Epidemiology and Prevention (7 papers). Jonathan Agüero-Valverde is often cited by papers focused on Traffic and Road Safety (24 papers), Urban Transport and Accessibility (11 papers) and Injury Epidemiology and Prevention (7 papers). Jonathan Agüero-Valverde collaborates with scholars based in Costa Rica, United States and Taiwan. Jonathan Agüero-Valverde's co-authors include Paul P. Jovanis, Kun-Feng Wu, Venky Shankar, Frank Groß, Eric T. Donnell, M.F.A.M. van Maarseveen, María Castro, Johannes Flacke, Bertrand Guillier and Toshiro Yamada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Accident Analysis & Prevention and Land Use Policy.

In The Last Decade

Jonathan Agüero-Valverde

29 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jonathan Agüero-Valverde 1.0k 659 252 193 161 38 1.2k
Young‐Jun Kweon 811 0.8× 460 0.7× 330 1.3× 201 1.0× 102 0.6× 43 1.1k
Sudeshna Mitra 966 1.0× 707 1.1× 280 1.1× 300 1.6× 137 0.9× 75 1.3k
Md. Tazul Islam 582 0.6× 496 0.8× 169 0.7× 176 0.9× 158 1.0× 45 875
Ni Dong 631 0.6× 531 0.8× 167 0.7× 187 1.0× 72 0.4× 23 816
Eric Dumbaugh 920 0.9× 1.0k 1.5× 289 1.1× 209 1.1× 137 0.9× 42 1.4k
Chowdhury Siddiqui 724 0.7× 593 0.9× 222 0.9× 131 0.7× 59 0.4× 20 793
Shashi Nambisan 754 0.8× 464 0.7× 217 0.9× 203 1.1× 136 0.8× 93 1.1k
Fangrong Chang 530 0.5× 343 0.5× 235 0.9× 176 0.9× 158 1.0× 33 862
Fred Wegman 1.0k 1.0× 664 1.0× 344 1.4× 153 0.8× 169 1.0× 55 1.4k
A S Hakkert 891 0.9× 404 0.6× 237 0.9× 161 0.8× 140 0.9× 54 1.2k

Countries citing papers authored by Jonathan Agüero-Valverde

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Agüero-Valverde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Agüero-Valverde. 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 Jonathan Agüero-Valverde. The network helps show where Jonathan Agüero-Valverde may publish in the future.

Co-authorship network of co-authors of Jonathan Agüero-Valverde

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Agüero-Valverde. A scholar is included among the top collaborators of Jonathan Agüero-Valverde 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 Jonathan Agüero-Valverde. Jonathan Agüero-Valverde 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.
Agüero-Valverde, Jonathan, et al.. (2024). The influence of land use planning and exposure to flooding on urban growth in San José, Costa Rica. Land Use Policy. 148. 107407–107407. 1 indexed citations
2.
Agüero-Valverde, Jonathan, et al.. (2021). Patrones de movilidad en transporte público en la Gran Área Metropolitana de Costa Rica: desafíos e impactos. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas).
3.
Agüero-Valverde, Jonathan, et al.. (2020). Spatial analysis of road crash frequency using Bayesian models with Integrated Nested Laplace Approximation (INLA). Journal of Transportation Safety & Security. 13(11). 1240–1262. 14 indexed citations
4.
Flacke, Johannes, et al.. (2018). Measuring Inequality of Opportunity in Access to Quality Basic Education: A Case Study in Florida, US. ISPRS International Journal of Geo-Information. 7(12). 465–465. 9 indexed citations
5.
Agüero-Valverde, Jonathan. (2018). Jointly Specified Spatial Priors for Bayesian Models of Crash Frequency. Transportation Research Record Journal of the Transportation Research Board. 2672(30). 90–98. 1 indexed citations
6.
Agüero-Valverde, Jonathan, et al.. (2017). Configuración espacial de la ciudad de Cartago y su relación con volúmenes vehiculares. SHILAP Revista de lepidopterología. 19(34). 18–27.
7.
Agüero-Valverde, Jonathan. (2017). Bayesian Hierarchical Tobit Models: an application to travel distance analysis. SHILAP Revista de lepidopterología. 27(1). 97–97. 1 indexed citations
8.
Wu, Kun-Feng, Jonathan Agüero-Valverde, & Paul P. Jovanis. (2014). Using naturalistic driving data to explore the association between traffic safety-related events and crash risk at driver level. Accident Analysis & Prevention. 72. 210–218. 73 indexed citations
9.
Donnell, Eric T., et al.. (2014). Relating crash frequency and severity: Evaluating the effectiveness of shoulder rumble strips on reducing fatal and major injury crashes. Accident Analysis & Prevention. 67. 86–95. 22 indexed citations
10.
Agüero-Valverde, Jonathan. (2013). Multivariate spatial models of excess crash frequency at area level: Case of Costa Rica. Accident Analysis & Prevention. 59. 365–373. 1 indexed citations
11.
Jovanis, Paul P., et al.. (2012). Analysis of Existing Data: Prospective Views on Methodological Paradigms. Transportation Research Board eBooks. 10 indexed citations
12.
Agüero-Valverde, Jonathan. (2012). Full Bayes Poisson gamma, Poisson lognormal, and zero inflated random effects models: Comparing the precision of crash frequency estimates. Accident Analysis & Prevention. 50. 289–297. 75 indexed citations
13.
Agüero-Valverde, Jonathan. (2011). Direct Spatial Correlation in Crash Frequency Models. 5 indexed citations
14.
Jovanis, Paul P., et al.. (2011). Analysis of Naturalistic Driving Event Data. Transportation Research Record Journal of the Transportation Research Board. 2236(1). 49–57. 48 indexed citations
15.
Agüero-Valverde, Jonathan & Paul P. Jovanis. (2010). Spatial Correlation in Multilevel Crash Frequency Models. Transportation Research Record Journal of the Transportation Research Board. 2165(1). 21–32. 73 indexed citations
16.
Agüero-Valverde, Jonathan, et al.. (2008). Advanced Road Safety and Weather Warning System. Transportation research circular. 140–154.
17.
Agüero-Valverde, Jonathan. (2008). Network analysis of road crash frequency using spatial models. 1 indexed citations
18.
Agüero-Valverde, Jonathan & Paul P. Jovanis. (2007). Identifying Road Segments with High Risk of Weather-Related Crashes Using Full Bayesian Hierarchical Models. Transportation Research Board 86th Annual MeetingTransportation Research Board. 7(3). 321–30. 17 indexed citations
19.
Jovanis, Paul P. & Jonathan Agüero-Valverde. (2006). Spatial Analysis of Fatal and Injury Crashes in Pennsylvania. Transportation Research Board 85th Annual MeetingTransportation Research Board. 6 indexed citations
20.
Agüero-Valverde, Jonathan & Paul P. Jovanis. (2006). Spatial analysis of fatal and injury crashes in Pennsylvania. Accident Analysis & Prevention. 38(3). 618–625. 365 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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