Kajsa M. Parding

74 total papers · 880 total citations
32 papers, 527 citations indexed

About

Kajsa M. Parding is a scholar working on Global and Planetary Change, Atmospheric Science and Management, Monitoring, Policy and Law. According to data from OpenAlex, Kajsa M. Parding has authored 32 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 25 papers in Atmospheric Science and 2 papers in Management, Monitoring, Policy and Law. Recurrent topics in Kajsa M. Parding's work include Climate variability and models (24 papers), Meteorological Phenomena and Simulations (15 papers) and Hydrology and Drought Analysis (8 papers). Kajsa M. Parding is often cited by papers focused on Climate variability and models (24 papers), Meteorological Phenomena and Simulations (15 papers) and Hydrology and Drought Analysis (8 papers). Kajsa M. Parding collaborates with scholars based in Norway, Germany and United States. Kajsa M. Parding's co-authors include Rasmus Benestad, Abdelkader Mezghani, Andreas Dobler, Jan Erik Haugen, Zbigniew W. Kundzewicz, Mikołaj Piniewski, Jan Asle Olseth, Beate G. Liepert, Ignacy Kardel and Oskar Landgren and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, SHILAP Revista de lepidopterología and Journal of Climate.

In The Last Decade

Kajsa M. Parding

32 papers receiving 516 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kajsa M. Parding 379 274 93 43 43 32 527
Jelena Luković 351 0.9× 172 0.6× 72 0.8× 35 0.8× 68 1.6× 33 485
Jussi Ylhäisi 402 1.1× 227 0.8× 92 1.0× 70 1.6× 36 0.8× 22 532
Zhenghong Chen 218 0.6× 210 0.8× 78 0.8× 38 0.9× 51 1.2× 45 494
Christine Achberger 441 1.2× 346 1.3× 92 1.0× 32 0.7× 63 1.5× 17 577
Tamás Szentimrey 358 0.9× 174 0.6× 45 0.5× 55 1.3× 48 1.1× 28 473
Yang Qinye 402 1.1× 196 0.7× 134 1.4× 38 0.9× 57 1.3× 25 554
Mari R. Tye 414 1.1× 255 0.9× 96 1.0× 22 0.5× 43 1.0× 34 561
Julio Cañón 330 0.9× 215 0.8× 113 1.2× 21 0.5× 73 1.7× 49 559
Isaac Kwesi Nooni 408 1.1× 239 0.9× 109 1.2× 91 2.1× 48 1.1× 36 544
Doug Richardson 394 1.0× 208 0.8× 37 0.4× 28 0.7× 31 0.7× 30 490

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

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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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