Tom Goren

2.2k total citations · 1 hit paper
33 papers, 1.0k citations indexed

About

Tom Goren is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, Tom Goren has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atmospheric Science, 29 papers in Global and Planetary Change and 14 papers in Earth-Surface Processes. Recurrent topics in Tom Goren's work include Atmospheric chemistry and aerosols (30 papers), Atmospheric aerosols and clouds (29 papers) and Aeolian processes and effects (14 papers). Tom Goren is often cited by papers focused on Atmospheric chemistry and aerosols (30 papers), Atmospheric aerosols and clouds (29 papers) and Aeolian processes and effects (14 papers). Tom Goren collaborates with scholars based in Germany, Israel and United States. Tom Goren's co-authors include Daniel Rosenfeld, Youtong Zheng, Yannian Zhu, Edward Gryspeerdt, Minghuai Wang, Shaocai Yu, Johannes Quaas, Odran Sourdeval, Graham Feingold and Johannes Mülmenstädt and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Geophysical Research Atmospheres.

In The Last Decade

Tom Goren

31 papers receiving 994 citations

Hit Papers

Aerosol-driven droplet concentrations dominate coverage a... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tom Goren Germany 16 889 888 191 68 42 33 1.0k
Stephanie Fiedler Germany 20 1.0k 1.2× 1.1k 1.2× 320 1.7× 108 1.6× 80 1.9× 60 1.3k
Guy Dagan Israel 18 884 1.0× 920 1.0× 171 0.9× 41 0.6× 60 1.4× 48 1.0k
Christina Hsu United States 7 1.1k 1.2× 1.0k 1.2× 146 0.8× 105 1.5× 40 1.0× 13 1.2k
Martine Michou France 21 1.2k 1.3× 1.0k 1.2× 42 0.2× 138 2.0× 60 1.4× 34 1.3k
J.-J. Morcrette United Kingdom 9 1.2k 1.3× 1.3k 1.5× 58 0.3× 192 2.8× 77 1.8× 12 1.4k
Tom Kucsera United States 19 1.0k 1.2× 973 1.1× 51 0.3× 189 2.8× 56 1.3× 31 1.2k
Antonis Gkikas Greece 22 1.1k 1.2× 1.1k 1.3× 154 0.8× 173 2.5× 107 2.5× 61 1.3k
Sean Milton United Kingdom 24 1.7k 1.9× 1.7k 1.9× 159 0.8× 53 0.8× 114 2.7× 59 1.9k
Salvatore Piacentino Italy 19 916 1.0× 871 1.0× 50 0.3× 164 2.4× 87 2.1× 28 1.1k
David B. Mechem United States 18 832 0.9× 862 1.0× 169 0.9× 29 0.4× 112 2.7× 51 1.0k

Countries citing papers authored by Tom Goren

Since Specialization
Citations

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

Fields of papers citing papers by Tom Goren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Goren

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Goren. A scholar is included among the top collaborators of Tom Goren 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 Tom Goren. Tom Goren 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
1.
Block, Karoline, et al.. (2025). Pristine oceans are a significant source of uncertainty in quantifying global cloud condensation nuclei. Atmospheric chemistry and physics. 25(6). 3841–3856. 3 indexed citations
2.
Goren, Tom, et al.. (2025). Co-variability drives the inverted-V sensitivity between liquid water path and droplet concentrations. Atmospheric chemistry and physics. 25(6). 3413–3423. 2 indexed citations
4.
Rosenfeld, Daniel, Alexander Kokhanovsky, Tom Goren, et al.. (2024). Challenges in Measuring Aerosol Cloud-Mediated Radiative Forcing. Eos. 105. 1 indexed citations
5.
Rosenfeld, Daniel, Alexander Kokhanovsky, Tom Goren, et al.. (2023). Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing. Reviews of Geophysics. 61(4). 16 indexed citations
6.
Goren, Tom, Odran Sourdeval, Jan Kretzschmar, & Johannes Quaas. (2023). Spatial Aggregation of Satellite Observations Leads to an Overestimation of the Radiative Forcing due to Aerosol‐Cloud Interactions. Geophysical Research Letters. 50(18). 9 indexed citations
7.
Gryspeerdt, Edward, et al.. (2023). Investigating the development of clouds within marine cold-air outbreaks. Atmospheric chemistry and physics. 23(16). 9365–9383. 12 indexed citations
8.
Goren, Tom, Graham Feingold, Edward Gryspeerdt, et al.. (2022). Projecting Stratocumulus Transitions on the Albedo—Cloud Fraction Relationship Reveals Linearity of Albedo to Droplet Concentrations. Geophysical Research Letters. 49(20). 12 indexed citations
9.
Feingold, Graham, Tom Goren, & Takanobu Yamaguchi. (2022). Quantifying albedo susceptibility biases in shallow clouds. Atmospheric chemistry and physics. 22(5). 3303–3319. 19 indexed citations
10.
Zhang, Jianhao, Xiaoli Zhou, Tom Goren, & Graham Feingold. (2022). Albedo susceptibility of northeastern Pacific stratocumulus: the role of covarying meteorological conditions. Atmospheric chemistry and physics. 22(2). 861–880. 29 indexed citations
11.
Feingold, Graham, Tom Goren, & Takanobu Yamaguchi. (2021). Quantifying Albedo Susceptibility Biases in Shallow Clouds. 1 indexed citations
12.
Gryspeerdt, Edward, Tom Goren, & Tristan Smith. (2021). Observing the timescales of aerosol–cloud interactions in snapshot satellite images. Atmospheric chemistry and physics. 21(8). 6093–6109. 29 indexed citations
13.
Maahn, Maximilian, Tom Goren, Matthew D. Shupe, & Gijs de Boer. (2021). Liquid Containing Clouds at the North Slope of Alaska Demonstrate Sensitivity to Local Industrial Aerosol Emissions. Geophysical Research Letters. 48(17). 3 indexed citations
14.
Gryspeerdt, Edward, Tom Goren, Odran Sourdeval, et al.. (2019). Constraining the aerosol influence on cloud liquid water path. Atmospheric chemistry and physics. 19(8). 5331–5347. 131 indexed citations
15.
Goren, Tom, J. Kazil, Fabian Hoffmann, Takanobu Yamaguchi, & Graham Feingold. (2019). Anthropogenic Air Pollution Delays Marine Stratocumulus Breakup to Open Cells. Geophysical Research Letters. 46(23). 14135–14144. 29 indexed citations
16.
Gryspeerdt, Edward, Johannes Quaas, Tom Goren, Daniel Klocke, & Matthias Brueck. (2018). An automated cirrus classification. Atmospheric chemistry and physics. 18(9). 6157–6169. 8 indexed citations
17.
Sourdeval, Odran, Edward Gryspeerdt, Martina Krämer, et al.. (2018). Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 1: Method and evaluation. Atmospheric chemistry and physics. 18(19). 14327–14350. 70 indexed citations
18.
Goren, Tom, Daniel Rosenfeld, Odran Sourdeval, & Johannes Quaas. (2018). Satellite Observations of Precipitating Marine Stratocumulus Show Greater Cloud Fraction for Decoupled Clouds in Comparison to Coupled Clouds. Geophysical Research Letters. 45(10). 5126–5134. 31 indexed citations
19.
Gryspeerdt, Edward, Johannes Quaas, Tom Goren, Daniel Klocke, & Matthias Brueck. (2017). Technical note: An automated cirrus classification. Spiral (Imperial College London). 2 indexed citations
20.
Rosenfeld, Daniel, Youtong Zheng, Mira L. Pöhlker, et al.. (2016). Satellite retrieval of cloud condensation nuclei concentrations by using clouds as CCN chambers. Proceedings of the National Academy of Sciences. 113(21). 5828–5834. 89 indexed citations

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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