Rafael Dı́az

2.4k total citations
93 papers, 1.6k citations indexed

About

Rafael Dı́az is a scholar working on Industrial and Manufacturing Engineering, Sociology and Political Science and Ocean Engineering. According to data from OpenAlex, Rafael Dı́az has authored 93 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Industrial and Manufacturing Engineering, 13 papers in Sociology and Political Science and 13 papers in Ocean Engineering. Recurrent topics in Rafael Dı́az's work include Disaster Management and Resilience (11 papers), Evacuation and Crowd Dynamics (11 papers) and Flood Risk Assessment and Management (8 papers). Rafael Dı́az is often cited by papers focused on Disaster Management and Resilience (11 papers), Evacuation and Crowd Dynamics (11 papers) and Flood Risk Assessment and Management (8 papers). Rafael Dı́az collaborates with scholars based in United States, Italy and Spain. Rafael Dı́az's co-authors include Joshua G. Behr, Ernesto Paolasso, Carlos Tajer, Graciela Romero, Jesús Isea, Leopoldo Soares Piegas, Rebecca Mister, Paul Ockelford, Adrienne Kirby and John W. Eikelboom and has published in prestigious journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Rafael Dı́az

84 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rafael Dı́az United States 19 497 284 213 191 159 93 1.6k
Daniel A. Eisenberg United States 23 331 0.7× 19 0.1× 162 0.8× 343 1.8× 567 3.6× 59 2.5k
Bogumił Kamiński Poland 18 150 0.3× 76 0.3× 69 0.3× 49 0.3× 53 0.3× 77 1.4k
Juan A. Vílchez Spain 24 489 1.0× 121 0.4× 24 0.1× 20 0.1× 80 0.5× 55 1.9k
Chris Parker United Kingdom 25 292 0.6× 164 0.6× 25 0.1× 156 0.8× 651 4.1× 97 2.2k
Thomas McNamara United States 23 124 0.2× 388 1.4× 40 0.2× 54 0.3× 958 6.0× 81 1.6k
Jianlong Wang China 21 198 0.4× 43 0.2× 88 0.4× 51 0.3× 177 1.1× 72 2.1k
Luis A. Guzmán Colombia 23 154 0.3× 36 0.1× 36 0.2× 112 0.6× 102 0.6× 75 1.9k
Michael Symons United States 24 112 0.2× 95 0.3× 52 0.2× 141 0.7× 119 0.7× 61 2.3k
Klaus Neumann Germany 30 306 0.6× 21 0.1× 55 0.3× 253 1.3× 270 1.7× 213 3.9k
John S. Wilson United States 28 606 1.2× 13 0.0× 53 0.2× 68 0.4× 213 1.3× 106 3.0k

Countries citing papers authored by Rafael Dı́az

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Dı́az

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Dı́az

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Dı́az. A scholar is included among the top collaborators of Rafael Dı́az 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 Rafael Dı́az. Rafael Dı́az 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.
Dı́az, Rafael, et al.. (2025). Zero Trust Architecture as a Risk Countermeasure in Small–Medium Enterprises and Advanced Technology Systems. Risk Analysis. 45(8). 2390–2414. 2 indexed citations
2.
Bossuyt, Patrick M., J. Wouter Jukema, L. Renee Ruhaak, et al.. (2025). Multiplex Apolipoprotein Panel Improves Cardiovascular Event Prediction and Cardiovascular Outcome by Identifying Patients Who Benefit From Targeted PCSK9 Inhibitor Therapy. Arteriosclerosis Thrombosis and Vascular Biology. 45(11). 2111–2123.
3.
Szabó, Sándor, Veronika Müller, Attila J. Szabó, et al.. (2025). Long COVID has variable incidence and clinical presentations: our 6-country collaborative study. Inflammopharmacology. 33(3). 1531–1535. 1 indexed citations
4.
5.
Dı́az, Rafael, et al.. (2024). Applications of AI/ML in Maritime Cyber Supply Chains. Procedia Computer Science. 232. 3247–3257. 5 indexed citations
6.
Pinto, C. Ariel, et al.. (2024). An exploratory data analysis of malware/ransomware cyberattacks: insights from an extensive cyber loss dataset. Enterprise Information Systems. 18(9). 6 indexed citations
7.
Dı́az, Rafael, et al.. (2023). Impacts of household vulnerability on hurricane logistics evacuation under COVID-19: The case of U.S. Hampton Roads. Transportation Research Part E Logistics and Transportation Review. 176. 103179–103179. 5 indexed citations
8.
Dı́az, Rafael, et al.. (2023). Flooding perception and its impact on hurricane evacuation intentions. International Journal of Disaster Risk Reduction. 95. 103892–103892. 8 indexed citations
9.
Szarek, Michael, Marco Valgimigli, Md. Shahidul Islam, et al.. (2023). Lipoprotein(a) and the Effect of Alirocumab on Revascularization After Acute Coronary Syndrome. Canadian Journal of Cardiology. 39(10). 1315–1324. 3 indexed citations
10.
Yusuf, Juita‐Elena, et al.. (2021). Changing Logistics of Evacuation Transportation in Hazardous Settings during COVID-19. Natural Hazards Review. 22(3). 13 indexed citations
11.
Yusuf, Juita‐Elena, et al.. (2021). Changing vulnerability for hurricane evacuation during a pandemic: Issues and anticipated responses in the early days of the COVID-19 pandemic. International Journal of Disaster Risk Reduction. 61. 102386–102386. 31 indexed citations
12.
Behr, Joshua G. & Rafael Dı́az. (2021). COVID-19 Evacuation and Sheltering Risk Perception Study. ODU Digital Commons (Old Dominion University). 1 indexed citations
13.
Dı́az, Rafael, et al.. (2020). Shipbuilding Supply Chain Framework and Digital Transformation: A Project Portfolios Risk Evaluation. Procedia Manufacturing. 42. 173–180. 20 indexed citations
14.
Behr, Joshua G., Rafael Dı́az, & Muge Akpinar‐Elci. (2016). Health Service Utilization and Poor Health Reporting in Asthma Patients. International Journal of Environmental Research and Public Health. 13(7). 645–645. 1 indexed citations
15.
Turnitsa, Charles, et al.. (2013). Proceedings of the Emerging M&S Applications in Industry & Academia / Modeling and Humanities Symposium. Spring Simulation Multiconference. 1 indexed citations
16.
Dı́az, Rafael, et al.. (2013). Humanitarian/emergency logistics models: a state of the art overview. Summer Computer Simulation Conference. 24. 13 indexed citations
17.
Dı́az, Rafael, et al.. (2012). The effects of transit corridor developments on the healthcare access of medically fragile vulnerable populations. Annual Simulation Symposium. 565–572. 1 indexed citations
18.
Dı́az, Rafael, et al.. (2012). Proceedings of the 2012 Symposium on Emerging Applications of M&S in Industry and Academia Symposium. Spring Simulation Multiconference. 4 indexed citations
19.
Dı́az, Rafael & Alireza A. Ardalan. (2009). An Analysis of Dual‐Kanban Just‐In‐Time Systems in a Non‐Repetitive Environment. Production and Operations Management. 19(2). 233–245. 14 indexed citations
20.
Gómez, M.D., et al.. (2008). El equipo interdisciplinar como instrumento básico en cuidados paliativos: a propósito de un caso. SHILAP Revista de lepidopterología. 2 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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