Bruno Neininger

53 total papers · 1.2k total citations
26 papers, 700 citations indexed

About

Bruno Neininger is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Bruno Neininger has authored 26 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atmospheric Science, 17 papers in Global and Planetary Change and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Bruno Neininger's work include Atmospheric chemistry and aerosols (14 papers), Atmospheric and Environmental Gas Dynamics (14 papers) and Air Quality and Health Impacts (8 papers). Bruno Neininger is often cited by papers focused on Atmospheric chemistry and aerosols (14 papers), Atmospheric and Environmental Gas Dynamics (14 papers) and Air Quality and Health Impacts (8 papers). Bruno Neininger collaborates with scholars based in Switzerland, Australia and Germany. Bruno Neininger's co-authors include Jörg Hacker, Andrê S. H. Prévôt, Josef Dommen, Kyaw Tha Paw U, Lindsay B. Hutley, Jason Beringer, Gregory L. Kok, Nicolas Bukowiecki, A. Stohl and Gerhard Wotawa and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, SHILAP Revista de lepidopterología and Atmospheric Environment.

In The Last Decade

Bruno Neininger

25 papers receiving 672 citations

Author Peers

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

Author Last Decade Papers Cites
Bruno Neininger 527 481 170 132 52 26 700
Mirosław Zimnoch 459 0.9× 487 1.0× 202 1.2× 167 1.3× 71 1.4× 45 713
Changsub Shim 597 1.1× 456 0.9× 225 1.3× 113 0.9× 50 1.0× 39 784
James S. Wang 475 0.9× 459 1.0× 119 0.7× 82 0.6× 78 1.5× 21 727
Ruth M. Purvis 559 1.1× 415 0.9× 259 1.5× 118 0.9× 70 1.3× 37 710
K. R. Verhulst 551 1.0× 706 1.5× 135 0.8× 125 0.9× 28 0.5× 27 817
Cheng Liu 416 0.8× 379 0.8× 237 1.4× 167 1.3× 36 0.7× 38 728
Günter Helas 613 1.2× 489 1.0× 184 1.1× 82 0.6× 49 0.9× 18 888
H. U. Price 776 1.5× 557 1.2× 316 1.9× 59 0.4× 34 0.7× 10 906
Sébastien Conil 632 1.2× 560 1.2× 209 1.2× 178 1.3× 43 0.8× 46 858
Shun Xiao 457 0.9× 168 0.3× 302 1.8× 162 1.2× 49 0.9× 25 725

Countries citing papers authored by Bruno Neininger

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Neininger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Neininger

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