Eva M Niedermeyer

55 total papers · 856 total citations
19 papers, 610 citations indexed

About

Eva M Niedermeyer is a scholar working on Atmospheric Science, Oceanography and Earth-Surface Processes. According to data from OpenAlex, Eva M Niedermeyer has authored 19 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 6 papers in Oceanography and 5 papers in Earth-Surface Processes. Recurrent topics in Eva M Niedermeyer's work include Geology and Paleoclimatology Research (14 papers), Marine and environmental studies (4 papers) and Geological formations and processes (4 papers). Eva M Niedermeyer is often cited by papers focused on Geology and Paleoclimatology Research (14 papers), Marine and environmental studies (4 papers) and Geological formations and processes (4 papers). Eva M Niedermeyer collaborates with scholars based in Germany, United States and Switzerland. Eva M Niedermeyer's co-authors include Enno Schefuß, Alex L. Sessions, Stefan Mulitza, Michael Schulz, Andreas Mulch, Gesine Mollenhauer, Matthias Prange, Mahyar Mohtadi, Sarah J. Feakins and Jaap S. Sinninghe Damsté and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Geochimica et Cosmochimica Acta.

In The Last Decade

Eva M Niedermeyer

18 papers receiving 600 citations

Author Peers

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

Author Last Decade Papers Cites
Eva M Niedermeyer 513 196 150 122 108 19 610
Ambros Berger 468 0.9× 110 0.6× 106 0.7× 147 1.2× 85 0.8× 18 626
Xiao Lin 349 0.7× 166 0.8× 90 0.6× 75 0.6× 66 0.6× 24 579
Heiko Moossen 419 0.8× 224 1.1× 76 0.5× 169 1.4× 67 0.6× 26 598
J. L. McKay 445 0.9× 194 1.0× 85 0.6× 98 0.8× 114 1.1× 24 684
Ping Peng 548 1.1× 185 0.9× 197 1.3× 68 0.6× 129 1.2× 30 689
Camille Contoux 506 1.0× 116 0.6× 90 0.6× 188 1.5× 173 1.6× 23 683
Ulrike Kienel 412 0.8× 180 0.9× 94 0.6× 31 0.3× 105 1.0× 26 560
David Williamson 515 1.0× 137 0.7× 164 1.1× 33 0.3× 85 0.8× 21 644
Isabelle Larocque‐Tobler 517 1.0× 201 1.0× 89 0.6× 103 0.8× 121 1.1× 29 601
Li Gao 400 0.8× 184 0.9× 102 0.7× 150 1.2× 67 0.6× 16 582

Countries citing papers authored by Eva M Niedermeyer

Since Specialization
Citations

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

Fields of papers citing papers by Eva M Niedermeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva M Niedermeyer

This figure shows the co-authorship network connecting the top 25 collaborators of Eva M Niedermeyer. A scholar is included among the top collaborators of Eva M Niedermeyer 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 Eva M Niedermeyer. Eva M Niedermeyer 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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