Zak Kipling

4.8k total citations · 1 hit paper
41 papers, 1.6k citations indexed

About

Zak Kipling is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Zak Kipling has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Global and Planetary Change, 36 papers in Atmospheric Science and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Zak Kipling's work include Atmospheric chemistry and aerosols (31 papers), Atmospheric aerosols and clouds (29 papers) and Atmospheric Ozone and Climate (18 papers). Zak Kipling is often cited by papers focused on Atmospheric chemistry and aerosols (31 papers), Atmospheric aerosols and clouds (29 papers) and Atmospheric Ozone and Climate (18 papers). Zak Kipling collaborates with scholars based in United Kingdom, United States and France. Zak Kipling's co-authors include Samuel Rémy, Johannes Flemming, Philip Stier, Richard Engelen, Vincent Huijnen, Melanie Ades, Vincent‐Henri Peuch, Anna Agustí‐Panareda, Mark Parrington and Antje Inness and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of the Atmospheric Sciences.

In The Last Decade

Zak Kipling

40 papers receiving 1.5k citations

Hit Papers

The CAMS reanalysis of atmospheric composition 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zak Kipling United Kingdom 18 1.3k 1.3k 318 193 83 41 1.6k
Samuel Rémy France 20 1.3k 1.0× 1.3k 1.0× 363 1.1× 269 1.4× 77 0.9× 50 1.7k
Ravi Govindaraju United States 9 1.5k 1.2× 1.5k 1.2× 414 1.3× 217 1.1× 110 1.3× 21 1.8k
M. Sorribas Spain 22 1.2k 1.0× 1.2k 0.9× 371 1.2× 142 0.7× 49 0.6× 57 1.5k
Marc Mallet France 24 1.4k 1.1× 1.4k 1.1× 208 0.7× 106 0.5× 141 1.7× 51 1.6k
J. W. Hair United States 7 1.1k 0.8× 1.1k 0.8× 234 0.7× 145 0.8× 70 0.8× 14 1.3k
Antonis Gkikas Greece 22 1.1k 0.8× 1.1k 0.9× 173 0.5× 107 0.6× 154 1.9× 61 1.3k
L. Jones United Kingdom 10 1.8k 1.4× 1.9k 1.5× 300 0.9× 151 0.8× 84 1.0× 12 2.1k
Virginie Buchard United States 16 2.0k 1.6× 1.9k 1.5× 677 2.1× 335 1.7× 125 1.5× 34 2.5k
Stavros Solomos Greece 19 1.2k 0.9× 1.2k 0.9× 204 0.6× 149 0.8× 222 2.7× 71 1.4k
S. Massart France 22 1.4k 1.1× 1.4k 1.1× 261 0.8× 229 1.2× 26 0.3× 41 1.7k

Countries citing papers authored by Zak Kipling

Since Specialization
Citations

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

Fields of papers citing papers by Zak Kipling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zak Kipling

This figure shows the co-authorship network connecting the top 25 collaborators of Zak Kipling. A scholar is included among the top collaborators of Zak Kipling 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 Zak Kipling. Zak Kipling 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.
Garrigues, Sébastien, Melanie Ades, Samuel Rémy, et al.. (2023). Impact of assimilating NOAA VIIRS aerosol optical depth (AOD) observations on global AOD analysis from the Copernicus Atmosphere Monitoring Service (CAMS). Atmospheric chemistry and physics. 23(18). 10473–10487. 1 indexed citations
2.
Zhong, Qirui, Nick Schutgens, Guido R. van der Werf, et al.. (2022). Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions. Nature Communications. 13(1). 5914–5914. 12 indexed citations
3.
Xian, Peng, Jianglong Zhang, N. T. O’Neill, et al.. (2022). Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 1: Climatology and trend. Atmospheric chemistry and physics. 22(15). 9915–9947. 27 indexed citations
4.
Rémy, Samuel, Zak Kipling, Vincent Huijnen, et al.. (2022). Description and evaluation of the tropospheric aerosol scheme in the Integrated Forecasting System (IFS-AER, cycle 47R1) of ECMWF. Geoscientific model development. 15(12). 4881–4912. 22 indexed citations
5.
McNorton, Joe, Nicolas Bousserez, Anna Agustí‐Panareda, et al.. (2022). Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion. Atmospheric chemistry and physics. 22(9). 5961–5981. 19 indexed citations
6.
Mikkonen, Santtu, Thomas Kühn, Harri Kokkola, et al.. (2022). The effect of clouds and precipitation on the aerosol concentrations and composition in a boreal forest environment. Atmospheric chemistry and physics. 22(17). 11823–11843. 18 indexed citations
8.
O’Sullivan, Debbie, Franco Marenco, Claire L. Ryder, et al.. (2020). Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations. Atmospheric chemistry and physics. 20(21). 12955–12982. 36 indexed citations
9.
O’Sullivan, Debbie, Franco Marenco, Claire L. Ryder, et al.. (2020). Models transport Saharan dust too low in the atmosphere compared to observations. 2 indexed citations
10.
Inness, Antje, Melanie Ades, Jérôme Barré, et al.. (2020). The use of TROPOMI retrievals in the operational CAMS forecast and data assimilation system. 1 indexed citations
11.
Darmenov, Anton, Peng Xian, Jeffrey S. Reid, et al.. (2020). The International Cooperative for Aerosol Prediction (ICAP) Perspective on the Massive June 2020 Saharan Dust Event. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
12.
McNorton, Joe, Nicolas Bousserez, Anna Agustí‐Panareda, et al.. (2020). Representing model uncertainty for global atmospheric CO 2 flux inversions using ECMWF-IFS-46R1. Geoscientific model development. 13(5). 2297–2313. 14 indexed citations
13.
Bozzo, Alessio, Angela Benedetti, Johannes Flemming, Zak Kipling, & Samuel Rémy. (2020). An aerosol climatology for global models based on the tropospheric aerosol scheme in the Integrated Forecasting System of ECMWF. Geoscientific model development. 13(3). 1007–1034. 39 indexed citations
14.
Rémy, Samuel, Zak Kipling, Johannes Flemming, et al.. (2019). Description and evaluation of the tropospheric aerosol scheme in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS-AER, cycle 45R1). Geoscientific model development. 12(11). 4627–4659. 84 indexed citations
15.
White, Bethan, Edward Gryspeerdt, Philip Stier, et al.. (2017). Uncertainty from the choice of microphysics scheme in convection-permitting models significantly exceeds aerosol effects. Atmospheric chemistry and physics. 17(19). 12145–12175. 49 indexed citations
16.
Kipling, Zak, et al.. (2017). Dynamic subgrid heterogeneity of convective cloud in a global model: description and evaluation of the Convective Cloud Field Model (CCFM) in ECHAM6–HAM2. Atmospheric chemistry and physics. 17(1). 327–342. 9 indexed citations
17.
Flemming, Johannes, Vincent Huijnen, Samuel Rémy, & Zak Kipling. (2017). Chemistry and aerosol model development for the Copernicus Atmosphere Monitoring Service at ECWMF. EGU General Assembly Conference Abstracts. 16776. 1 indexed citations
18.
Watson‐Parris, Duncan, Nick Schutgens, Nicholas Cook, et al.. (2016). Community Intercomparison Suite (CIS) v1.3.2: A tool for intercomparing models and observations. 1 indexed citations
19.
Gryspeerdt, Edward, Philip Stier, Bethan White, & Zak Kipling. (2015). Wet scavenging limits the detection of aerosol–cloud–precipitation interactions. 2 indexed citations
20.
Kipling, Zak, Philip Stier, Joshua P. Schwarz, et al.. (2013). Constraints on aerosol processes in climate models from vertically-resolved aircraft observations of black carbon. Atmospheric chemistry and physics. 13(12). 5969–5986. 60 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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