Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Development and test of the distributed HBV-96 hydrological model
1997875 citationsGöran Lindström, Barbro B. Johansson et al.Journal of Hydrologyprofile →
Countries citing papers authored by Sten Bergström
Since
Specialization
Citations
This map shows the geographic impact of Sten Bergström'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 Sten Bergström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sten Bergström more than expected).
This network shows the impact of papers produced by Sten Bergström. 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 Sten Bergström. The network helps show where Sten Bergström may publish in the future.
Co-authorship network of co-authors of Sten Bergström
This figure shows the co-authorship network connecting the top 25 collaborators of Sten Bergström.
A scholar is included among the top collaborators of Sten Bergström 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 Sten Bergström. Sten Bergström is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bergström, Sten. (2006). Experience from applications of the HBV hydrological model from the perspective of prediction in ungauged basins. IAHS-AISH publication. 97–107.21 indexed citations
4.
Beldring, Stein, Johan Andréasson, Sten Bergström, et al.. (2006). Mapping water resources in the Nordic region under a changing climate..10 indexed citations
Andréasson, Johan, Sten Bergström, Bengt Carlsson, & L. Phil Graham. (2003). The effect of downscaling techniques on assessing water resources impacts from climate change scenarios. IAHS-AISH publication. 160–164.4 indexed citations
9.
Graham, L. Phil, Göran Lindström, Björn Bringfelt, et al.. (2001). Using conceptual hydrological modelling to develop better sub-grid variability in the Rossby Centre Regional Atmospheric Model.. IAHS-AISH publication. 151–158.1 indexed citations
10.
Bergström, Sten, et al.. (2000). Hydrological models and modelling. 129–140.3 indexed citations
11.
Carlsson, Bengt & Sten Bergström. (1998). The TELFLOOD project : Rainfall – Runoff Modelling and forecasting. KTH Publication Database DiVA (KTH Royal Institute of Technology).
12.
Lindström, Göran, Barbro B. Johansson, Magnus Persson, Marie Gardelin, & Sten Bergström. (1997). Development and test of the distributed HBV-96 hydrological model. Journal of Hydrology. 201(1-4). 272–288.875 indexed citations breakdown →
13.
Gardelin, Marie, et al.. (1996). HBV-96 – En areellt fördelad modell för vattenkrafthydrologin. KTH Publication Database DiVA (KTH Royal Institute of Technology).4 indexed citations
14.
Bergström, Sten. (1992). The HBV Model -its structure and applications.372 indexed citations
15.
Bergström, Sten, et al.. (1988). MODELING THE EFFECTS OF CLEARCUTTING ON RUNOFF - EXAMPLES FROM CENTRAL SWEDEN. AMBIO. 17(5). 307–313.29 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.