This map shows the geographic impact of Mitja Brilly'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 Mitja Brilly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitja Brilly more than expected).
This network shows the impact of papers produced by Mitja Brilly. 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 Mitja Brilly. The network helps show where Mitja Brilly may publish in the future.
Co-authorship network of co-authors of Mitja Brilly
This figure shows the co-authorship network connecting the top 25 collaborators of Mitja Brilly.
A scholar is included among the top collaborators of Mitja Brilly 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 Mitja Brilly. Mitja Brilly is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Šraj, Mojca, Sašo Petan, Mira Kobold, Nejc Bezak, & Mitja Brilly. (2019). Status quo of the Danube basin countries' flood and ice forecasting systems and methodologies. EGUGA. 14899.1 indexed citations
5.
Vidmar, Andrej, et al.. (2016). The Bosna River floods in May 2014. Natural hazards and earth system sciences. 16(10). 2235–2246.8 indexed citations
6.
Brilly, Mitja, et al.. (2016). The influence of sustainable measures on runoff hydrograph from an urbanized drainage area. 29(51). 145–162.5 indexed citations
7.
Zabret, Katarina & Mitja Brilly. (2014). Hydrological regionalisation of flood frequency analyses in Slovenia. 27(47). 139–156.2 indexed citations
8.
Brilly, Mitja, et al.. (2014). Regional flood frequency analysis in Slovenia. EGU General Assembly Conference Abstracts. 2803.1 indexed citations
9.
Bezak, Nejc, Mojca Šraj, Simon Rusjan, et al.. (2013). Comparison between two adjacent experimental torrential watersheds: Kuzlovec and Mačkov graben. 26(45). 85–97.3 indexed citations
10.
Šraj, Mojca, Nejc Bezak, & Mitja Brilly. (2013). Bivariate flood frequency analyses using Copula function. EGUGA.1 indexed citations
11.
Brilly, Mitja. (2010). Hydrological processes of the Danube River Basin : perspectives from the Danubian countries. Springer eBooks.17 indexed citations
12.
Brilly, Mitja, et al.. (2009). Contribution of the tributaries of the Sava River to its mean daily flow at the time of hydrological droughts. EGU General Assembly Conference Abstracts. 6809.1 indexed citations
13.
Kobold, Mira, et al.. (2003). Sensitivity of hydrological model to the rainfall error. EGS - AGU - EUG Joint Assembly. 8419.1 indexed citations
14.
Brilly, Mitja, et al.. (2003). Ecohydrological processes on the intake structure of the Plave hydropower plant, Slovenia. 21(35). 77–85.1 indexed citations
15.
Brilly, Mitja, Lidija Globevnik, & Andrej Vidmar. (2003). Determination of the ecohydrographical regions in Slovenia. 21(34). 23–36.1 indexed citations
16.
Brilly, Mitja & Lidija Globevnik. (2003). Sustainable water resources management in the Dragonja catchment, Slovenia. IAHS-AISH publication. 334–340.1 indexed citations
Uijlenhoet, R., Hervé Andrieu, G. L. Austin, et al.. (1999). Hydromet integrated radar experiment (HIRE) : experimental setup and first results. Bristol Research (University of Bristol). 926–930.14 indexed citations
19.
Brilly, Mitja, Mira Kobold, & Andrej Vidmar. (1997). Water information management system and low flow analysis in Slovenia. IAHS-AISH publication. 117–124.4 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.