Nina Kirchner

157 total papers · 2.9k total citations
66 papers, 1.1k citations indexed

About

Nina Kirchner is a scholar working on Atmospheric Science, Pulmonary and Respiratory Medicine and Mechanics of Materials. According to data from OpenAlex, Nina Kirchner has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Atmospheric Science, 13 papers in Pulmonary and Respiratory Medicine and 8 papers in Mechanics of Materials. Recurrent topics in Nina Kirchner's work include Cryospheric studies and observations (45 papers), Geology and Paleoclimatology Research (30 papers) and Climate change and permafrost (25 papers). Nina Kirchner is often cited by papers focused on Cryospheric studies and observations (45 papers), Geology and Paleoclimatology Research (30 papers) and Climate change and permafrost (25 papers). Nina Kirchner collaborates with scholars based in Sweden, United Kingdom and Germany. Nina Kirchner's co-authors include Riko Noormets, Martin Jakobsson, Kolumban Hutter, Paul Steinmann, Richard Gyllencreutz, Matt O’Regan, Adrian Luckman, Douglas I. Benn, Ralf Greve and Per Lötstedt and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Nina Kirchner

61 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Nina Kirchner 840 182 180 172 147 66 1.1k
Jenny Suckale 287 0.3× 102 0.6× 143 0.8× 35 0.2× 74 0.5× 70 1.1k
Norikazu Maeno 816 1.0× 296 1.6× 210 1.2× 43 0.3× 78 0.5× 74 1.3k
J. Caplan‐Auerbach 481 0.6× 25 0.1× 410 2.3× 94 0.5× 46 0.3× 54 1.4k
R. O. Ramseier 1.2k 1.4× 112 0.6× 59 0.3× 158 0.9× 43 0.3× 57 1.5k
Harold Lovell 851 1.0× 86 0.5× 290 1.6× 73 0.4× 45 0.3× 45 1.1k
Takao Kameda 1.0k 1.2× 186 1.0× 107 0.6× 89 0.5× 29 0.2× 79 1.3k
Andrey N. Salamatin 590 0.7× 100 0.5× 60 0.3× 923 5.4× 342 2.3× 53 1.4k
Anja Dufresne 647 0.8× 23 0.1× 970 5.4× 15 0.1× 144 1.0× 30 1.2k
Sergey Sokratov 907 1.1× 220 1.2× 335 1.9× 46 0.3× 12 0.1× 55 1.1k
Peter Gauer 692 0.8× 65 0.4× 779 4.3× 56 0.3× 45 0.3× 56 1.1k

Countries citing papers authored by Nina Kirchner

Since Specialization
Citations

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

Fields of papers citing papers by Nina Kirchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina Kirchner. 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 Nina Kirchner. The network helps show where Nina Kirchner may publish in the future.

Co-authorship network of co-authors of Nina Kirchner

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Kirchner. A scholar is included among the top collaborators of Nina Kirchner 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 Nina Kirchner. Nina Kirchner 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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