This map shows the geographic impact of B. Quan Luna'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 B. Quan Luna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Quan Luna more than expected).
This network shows the impact of papers produced by B. Quan Luna. 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 B. Quan Luna. The network helps show where B. Quan Luna may publish in the future.
Co-authorship network of co-authors of B. Quan Luna
This figure shows the co-authorship network connecting the top 25 collaborators of B. Quan Luna.
A scholar is included among the top collaborators of B. Quan Luna 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 B. Quan Luna. B. Quan Luna is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Luna, B. Quan, Jan Blahút, Theo van Asch, C.J. van Westen, & Mélanie Kappes. (2015). AschFlow - A dynamic landslide run-out model for medium scale hazard analysis.. EGUGA. 13656.1 indexed citations
5.
Liu, Zhongqiang, Farrokh Nadim, Alexander García-Aristizábal, et al.. (2015). A three-level framework for multi-risk assessment. Georisk Assessment and Management of Risk for Engineered Systems and Geohazards. 9(2). 59–74.91 indexed citations
Cepeda, José, B. Quan Luna, & Farrokh Nadim. (2013). Probabilistic landslide run-out assessment with a 2-D dynamic numerical model using a Monte Carlo method. EGU General Assembly Conference Abstracts.1 indexed citations
Luna, B. Quan, et al.. (2012). Application of a Monte Carlo method for modeling debris flow run-out. EGU General Assembly Conference Abstracts. 13718.5 indexed citations
11.
Hussin, Y.A., B. Quan Luna, C.J. van Westen, et al.. (2012). Assessing the debris flow run-out frequency of a catchment in the French Alps using a parameterization analysis with the RAMMS numerical run-out model. Utrecht University Repository (Utrecht University). 14. 1–1.1 indexed citations
Blahút, Jan, et al.. (2012). Reconstruction of debris flows from Smědavská hora Mt., using a regional run - out model : powerpoint. University of Twente Research Information.1 indexed citations
Luna, B. Quan, C.J. van Westen, & Victor Jetten. (2010). A preliminary compilation of calibrated rheological parameters used in dynamic simulations of landslide run - out. 255–260.3 indexed citations
17.
Luna, B. Quan & C.J. van Westen. (2010). From deterministic hazard modelling to risk and loss estimation. 373–380.2 indexed citations
18.
Westen, C.J. van, et al.. (2010). Development of training materials on the use of geo - information for multi - hazard risk assessment in a mountainous environment. IRIS. 469–475.13 indexed citations
19.
Hungr, Oldrich, et al.. (2009). The 4 January, 2009, landslide at "Los Chorros" village, San Cristóbal Verapaz, Guatemala: context and a preliminary assessment. EGUGA. 12745.1 indexed citations
20.
Kuriakose, Sekhar L., B. Quan Luna, Santiago Beguerı́a, & C.J. van Westen. (2009). Modelling the runout of a debris flow of the Western Ghats, Kerala, India. University of Twente Research Information. 4276.2 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.