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.
Countries citing papers authored by Hans Alexandersson
Since
Specialization
Citations
This map shows the geographic impact of Hans Alexandersson'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 Hans Alexandersson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Alexandersson more than expected).
Fields of papers citing papers by Hans Alexandersson
This network shows the impact of papers produced by Hans Alexandersson. 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 Hans Alexandersson. The network helps show where Hans Alexandersson may publish in the future.
Co-authorship network of co-authors of Hans Alexandersson
This figure shows the co-authorship network connecting the top 25 collaborators of Hans Alexandersson.
A scholar is included among the top collaborators of Hans Alexandersson 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 Hans Alexandersson. Hans Alexandersson 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.
Tuomenvirta, Heikki, Achim Drebs, Eirik J. Førland, et al.. (2015). Dataset for Climate Analysis with Data from the Nordic Region.1 indexed citations
2.
Achberger, Christine, Deliang Chen, & Hans Alexandersson. (2005). The surface winds of Sweden during 1999–2000. International Journal of Climatology. 26(2). 159–178.25 indexed citations
3.
Groisman, Pavel, Richard W. Knight, Richard R. Heim, et al.. (2004). Changes In Climate, Potential Forest Fire Danger, And Land Use In High Latitudes Of The Northern Hemisphere. AGU Spring Meeting Abstracts. 2004.2 indexed citations
Alexandersson, Hans. (2003). Korrektion av nederbörd enligt enkel klimatologisk metodik.6 indexed citations
8.
Alexandersson, Hans. (2002). Temperatur och nederbörd i Sverige 1860 -2001. KTH Publication Database DiVA (KTH Royal Institute of Technology).19 indexed citations
9.
Lass, H. U., et al.. (2002). Meteorological, Hydrological and Hydrographical Forcing. 99–100.1 indexed citations
Alexandersson, Hans & Anders Moberg. (1997). HOMOGENIZATION OF SWEDISH TEMPERATURE DATA. PART I: HOMOGENEITY TEST FOR LINEAR TRENDS. International Journal of Climatology. 17(1). 25–34.529 indexed citations breakdown →
14.
Alexandersson, Hans, et al.. (1992). Future climate in the Nordic region – survey and synthesis for the next century. KTH Publication Database DiVA (KTH Royal Institute of Technology).8 indexed citations
Alexandersson, Hans, et al.. (1991). Temperature and precipitation in Sweden 1961-90. Reference normals.86 indexed citations
17.
Alexandersson, Hans, et al.. (1989). Climate fluctuations in Sweden 1860–1987. KTH Publication Database DiVA (KTH Royal Institute of Technology).46 indexed citations
18.
Alexandersson, Hans, et al.. (1987). Climatological extremes in the mountains : physical background, geomorphological and ecological consequences. 216.8 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.