A. J. Prenni

99 papers receiving 8.1k citations

Hit Papers

Predicting global atmospheric ice nuclei distributions an...2003202620102018201020032015250500750

Peers

A. J. Prenni
Comparison fields: 5 of 105
  • Atmospheric Science 7.6k
  • Global and Planetary Change 6.5k
  • Health, Toxicology and Mutagenesis 2.0k
  • Earth-Surface Processes 655
  • Aerospace Engineering 463
Replace Ottmar Möhler with:
Ottmar Möhler Germany
Markus D. Petters United States
Emilio Cuevas Spain
Corinna Hoose Germany
Haflidi H. Jonsson United States
Darrel Baumgardner United States
Frank Stratmann Germany
Daniel J. Cziczo United States
Atsushi Shimizu Japan
Martin Schnaiter Germany
A. J. Prenni relative to Ottmar Möhler Germany Ottmar Möhler's profile →
Citations per field
00.5×
Ottmar Möhler · 1×
Citations per year

Countries citing papers authored by A. J. Prenni

Since Specialization
Citations

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

Fields of papers citing papers by A. J. Prenni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. J. Prenni. 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 A. J. Prenni. The network helps show where A. J. Prenni may publish in the future.

Co-authorship network of co-authors of A. J. Prenni

This figure shows the co-authorship network connecting the top 25 collaborators of A. J. Prenni. A scholar is included among the top collaborators of A. J. Prenni 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 A. J. Prenni. A. J. Prenni 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 3
2 1
3 2
4 2
5 1
6 7
7 31
8 39
9 20
10 53
11 14
12
Integrating laboratory and field data to quantify the immersion freezing ice nucleation activity of mineral dust particlesbreakdown →
306
13 52
14
Measurements of gas phase reactive nitrogen during two wildfires in Colorado
1
15 154
16 80
17 3
18
Ice Formation by Soot-Containing Aerosol Particles
1
19
Ice Nuclei Variability and Ice Formation in Mixed-Phase Clouds
2
20 178

About A. J. Prenni

A. J. Prenni is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis, having authored 101 papers that have together received 8.3k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (92 papers), Atmospheric aerosols and clouds (65 papers) and Atmospheric Ozone and Climate (39 papers). The work is most often cited by research in Atmospheric Science (7.6k citations), Global and Planetary Change (6.5k citations) and Health, Toxicology and Mutagenesis (2.0k citations). A. J. Prenni has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include Paul J. DeMott, Sonia M. Kreidenweis, Markus D. Petters, D. C. Rogers, C. H. Twohy, Christian M. Carrico, Sarah D. Brooks, Margaret A. Tolbert, Kirsten Koehler and Trude Eidhammer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Geophysical Research Atmospheres and Accounts of Chemical Research.

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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