Kajsa M. Parding

886 citations
32 papers · 531 indexed · h-index 14
Topics
Climate variability and models (24 papers)Meteorological Phenomena and Simulations (15 papers)Hydrology and Drought Analysis (8 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Geophysical Research AtmospheresJournal of Climate

In The Last Decade

Kajsa M. Parding

32 papers receiving 518 citations

Peers

Kajsa M. Parding
Comparison fields: 5 of 68
  • Global and Planetary Change 380
  • Atmospheric Science 275
  • Water Science and Technology 93
  • Ecology, Evolution, Behavior and Systematics 43
  • Environmental Engineering 43
Replace Myriam Montesarchio with:
Myriam Montesarchio Italy
Oskar Landgren Norway
Mari R. Tye United States
Daniel Caetano Santos Brazil
F. Monti Italy
Nadia Politi Greece
Yen Yi Loo New Zealand
Annemiek I. Stegehuis France
Michael F. Squires United States
Kangmin Wen China
Kajsa M. Parding relative to Myriam Montesarchio Italy Myriam Montesarchio's profile →
Citations per field
00.5×1.7×
Myriam Montesarchio · 1×
Citations per year

Countries citing papers authored by Kajsa M. Parding

Since Specialization
Citations

This map shows the geographic impact of Kajsa M. Parding'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 Kajsa M. Parding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kajsa M. Parding more than expected).

Fields of papers citing papers by Kajsa M. Parding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kajsa M. Parding. 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 Kajsa M. Parding. The network helps show where Kajsa M. Parding may publish in the future.

Co-authorship network of co-authors of Kajsa M. Parding

This figure shows the co-authorship network connecting the top 25 collaborators of Kajsa M. Parding. A scholar is included among the top collaborators of Kajsa M. Parding 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 Kajsa M. Parding. Kajsa M. Parding 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
#WorkIndexed citations
1 1
2 12
3 6
4 3
5 13
6 67
7 23
8 26
9
Climate projections over Poland. Assessment of bias-corrected EURO-CORDEX simulations
1
10 69
11 6
12 2
13 52
14 24
15 18
16 3
17 8
18 22
19 9
20 17

About Kajsa M. Parding

Kajsa M. Parding is a scholar working on Atmospheric Science, Global and Planetary Change and Management, Monitoring, Policy and Law, having authored 32 papers that have together received 531 indexed citations. Recurring topics across this work include Climate variability and models (24 papers), Meteorological Phenomena and Simulations (15 papers) and Hydrology and Drought Analysis (8 papers). The work is most often cited by research in Global and Planetary Change (380 citations), Atmospheric Science (275 citations) and Water Science and Technology (93 citations). Kajsa M. Parding has collaborated with scholars based in Norway, United States and Germany. Frequent co-authors include Rasmus Benestad, Abdelkader Mezghani, Andreas Dobler, Jan Erik Haugen, Mikołaj Piniewski, Zbigniew W. Kundzewicz, Beate G. Liepert, Jan Asle Olseth, Ignacy Kardel and Oskar Landgren. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Journal of Climate.

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.

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