Countries citing papers authored by Marc Berenguer
Since
Specialization
Citations
This map shows the geographic impact of Marc Berenguer'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 Marc Berenguer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Berenguer more than expected).
This network shows the impact of papers produced by Marc Berenguer. 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 Marc Berenguer. The network helps show where Marc Berenguer may publish in the future.
Co-authorship network of co-authors of Marc Berenguer
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Berenguer.
A scholar is included among the top collaborators of Marc Berenguer 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 Marc Berenguer. Marc Berenguer is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Berenguer, Marc, et al.. (2019). Testing conventional and unconventional data sources for the validation of a real-time flash flood impact model. EGU General Assembly Conference Abstracts. 1330.1 indexed citations
5.
Koistinen, Jarmo, Annakaisa von Lerber, Seppo Pulkkinen, et al.. (2019). Seamless probabilistic MUlti-source Forecasting of heavy rainfall hazards for European Flood awareness - SMUFF project. EGU General Assembly Conference Abstracts. 14302.1 indexed citations
6.
Berenguer, Marc, et al.. (2018). A prototype regional early warning system for shallow landslides and debris flows. EGUGA. 1081.1 indexed citations
7.
Hürlimann, Marcel, et al.. (2017). Analysis of the rainfall conditions inducing torrential activity in the Portainé catchment (Eastern Pyrenees, Spain).. EGUGA. 12494.2 indexed citations
8.
Park, Shinju, Marc Berenguer, Daniel Sempere‐Torres, Calum Baugh, & Paul J. Smith. (2017). Toward seamless high-resolution flash flood forecasting over Europe based on radar nowcasting and NWP: An evaluation with case studies. EGUGA. 12158.6 indexed citations
9.
Sempere‐Torres, Daniel, et al.. (2016). From Rainfall Nowcasting to Flash Flood Early Warning Systems: recent and ongoing advancements in Europe. AGUFM. 2016.1 indexed citations
10.
Bech, Joan & Marc Berenguer. (2015). Predictability of heavy sub-hourly precipitation amounts for a weather radar based nowcasting system. EGU General Assembly Conference Abstracts. 13945.1 indexed citations
Berenguer, Marc & Daniel Sempere‐Torres. (2013). Radar-based rainfall nowcasting at European scale: long-term evaluation and performance assessment.2 indexed citations
14.
Abancó, Clàudia, et al.. (2012). Benefits and limitations of using the weather radar for the definition of rainfall thresholds for debris flows. Case study from Catalonia (Spain).. EGUGA. 2683.1 indexed citations
15.
Baltas, Evangelos, et al.. (2011). A radar-based flash flood forecasting for the Llobregat river basin in the Catalonia region (Spain). 191681-1–191681-6.1 indexed citations
Berenguer, Marc & Isztar Zawadzki. (2007). What does the bright band tell us about the Z-R?. 1–5.1 indexed citations
18.
Berenguer, Marc, et al.. (2006). Analysis of the radar distance error structure through a simulation approach. 61(5). 567–570.
19.
Berenguer, Marc, et al.. (2005). Identification of clutter echoes using a fuzzy logic technique. Arcimis (State Meteorological Agency).3 indexed citations
20.
Sempere‐Torres, Daniel, et al.. (2002). Ascmore: An Algorithm To Control Radar Rainfall Measurement Stability Using Mountain Returns In Real Time. EGS General Assembly Conference Abstracts. 6319.2 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.