Ignacio Pisso

2.8k total citations
39 papers, 914 citations indexed

About

Ignacio Pisso is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ignacio Pisso has authored 39 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atmospheric Science, 32 papers in Global and Planetary Change and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ignacio Pisso's work include Atmospheric and Environmental Gas Dynamics (27 papers), Atmospheric chemistry and aerosols (27 papers) and Atmospheric Ozone and Climate (20 papers). Ignacio Pisso is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (27 papers), Atmospheric chemistry and aerosols (27 papers) and Atmospheric Ozone and Climate (20 papers). Ignacio Pisso collaborates with scholars based in Norway, France and Germany. Ignacio Pisso's co-authors include A. Stohl, Bernard Legras, Massimo Cassiani, Stéphanie Evan, J. Brioude, R. C. Easter, Petra Seibert, J. D. Fast, Dèlia Arnold and D. Morton and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Journal of Fluid Mechanics.

In The Last Decade

Ignacio Pisso

37 papers receiving 901 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ignacio Pisso Norway 18 725 673 187 117 70 39 914
K. Wecht United States 12 865 1.2× 878 1.3× 221 1.2× 117 1.0× 54 0.8× 16 1.1k
N. F. Elansky Russia 20 724 1.0× 674 1.0× 266 1.4× 104 0.9× 92 1.3× 66 971
Audrey Fortems‐Cheiney France 16 889 1.2× 884 1.3× 204 1.1× 100 0.9× 82 1.2× 29 1.1k
Nadia K. Colombi United States 8 351 0.5× 321 0.5× 76 0.4× 113 1.0× 29 0.4× 12 518
Mengistu Wolde Canada 20 1.1k 1.5× 902 1.3× 100 0.5× 137 1.2× 16 0.2× 72 1.2k
Rachel M. Kirpes United States 13 432 0.6× 296 0.4× 156 0.8× 71 0.6× 67 1.0× 18 577
K. R. Verhulst United States 16 553 0.8× 722 1.1× 135 0.7× 127 1.1× 63 0.9× 27 831
Anne‐Marlene Blechschmidt Germany 12 861 1.2× 802 1.2× 259 1.4× 166 1.4× 21 0.3× 17 1.1k
А. И. Скороход Russia 18 721 1.0× 614 0.9× 304 1.6× 168 1.4× 54 0.8× 77 923
Motoki Sasakawa Japan 19 538 0.7× 638 0.9× 57 0.3× 47 0.4× 148 2.1× 37 747

Countries citing papers authored by Ignacio Pisso

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Pisso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Pisso

This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio Pisso. A scholar is included among the top collaborators of Ignacio Pisso 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 Ignacio Pisso. Ignacio Pisso 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.
Thompson, Rona L., K. Nalini, Ignacio Pisso, et al.. (2025). Efficient use of a Lagrangian particle dispersion model for atmospheric inversions using satellite observations of column mixing ratios. Atmospheric chemistry and physics. 25(19). 12737–12751.
2.
Cassiani, Massimo, Ignacio Pisso, Pietro Salizzoni, et al.. (2024). The dynamics of concentration fluctuations within passive scalar plumes in a turbulent neutral boundary layer. Journal of Fluid Mechanics. 1001. 1 indexed citations
3.
Stjern, Camilla W., Øivind Hodnebrog, Gunnar Myhre, & Ignacio Pisso. (2023). The turbulent future brings a breath of fresh air. Nature Communications. 14(1). 3735–3735. 10 indexed citations
4.
Thompson, Rona L. & Ignacio Pisso. (2023). A flexible algorithm for network design based on information theory. Atmospheric measurement techniques. 16(2). 235–246. 2 indexed citations
5.
Jia, Yue, Birgit Quack, Robert D. Kinley, Ignacio Pisso, & Susann Tegtmeier. (2022). Potential environmental impact of bromoform from Asparagopsis farming in Australia. Atmospheric chemistry and physics. 22(11). 7631–7646. 25 indexed citations
6.
Jia, Yue, Birgit Quack, Robert D. Kinley, Ignacio Pisso, & Susann Tegtmeier. (2021). Potential environmental impact of bromoform from Asparagopsis farming in Australia. 2 indexed citations
7.
8.
Choi, Yongjoo, Yugo Kanaya, Masayuki Takigawa, et al.. (2020). Investigation of the wet removal rate of black carbon in East Asia: validation of a below- and in-cloud wet removal scheme in FLEXible PARTicle (FLEXPART) model v10.4. Atmospheric chemistry and physics. 20(21). 13655–13670. 21 indexed citations
9.
10.
Yttri, Karl Espen, David Simpson, R. W. Bergstrom, et al.. (2019). The EMEP Intensive Measurement Period campaign, 2008–2009: characterizing carbonaceous aerosol at nine rural sites in Europe. Atmospheric chemistry and physics. 19(7). 4211–4233. 22 indexed citations
11.
Platt, Stephen M., Sabine Eckhardt, Benedicte Ferré, et al.. (2018). Methane at Svalbard and over the European Arctic Ocean. Atmospheric chemistry and physics. 18(23). 17207–17224. 17 indexed citations
12.
Stebel, Kerstin, Massimo Cassiani, Arve Kylling, et al.. (2018). Observation of turbulent dispersion of artificially released SO 2 puffs with UV cameras. Atmospheric measurement techniques. 11(11). 6169–6188. 7 indexed citations
13.
Thompson, Rona L., Euan G. Nisbet, Ignacio Pisso, et al.. (2018). Variability in Atmospheric Methane From Fossil Fuel and Microbial Sources Over the Last Three Decades. Geophysical Research Letters. 45(20). 53 indexed citations
14.
Dalsøren, S. B., Gunnar Myhre, Øivind Hodnebrog, et al.. (2018). Discrepancy between simulated and observed ethane and propanelevels explained by underestimated fossil emissions. Nature Geoscience. 11(3). 178–184. 55 indexed citations
15.
Cain, Michelle, N. J. Warwick, Rebecca Fisher, et al.. (2017). A cautionary tale: A study of a methane enhancement over the North Sea. Journal of Geophysical Research Atmospheres. 122(14). 7630–7645. 20 indexed citations
16.
Platt, Stephen M., Norbert Schmidbauer, Ignacio Pisso, et al.. (2015). Methane Emissions from the Arctic Ocean to the Atmosphere. EGU General Assembly Conference Abstracts. 12461.
17.
Pisso, Ignacio, Sabine Eckhardt, & Knut Breivik. (2014). Assessment of secondary sources of Persistent Organic Pollutants in the Arctic. EGU General Assembly Conference Abstracts. 16073. 1 indexed citations
18.
Tegtmeier, Susann, Kirstin Krüger, Birgit Quack, et al.. (2012). Bridging the gap between bromocarbon oceanic emissions and upper air concentrations. 1 indexed citations
19.
Pisso, Ignacio, Virginie Marécal, Bernard Legras, & Gwenaël Berthet. (2010). Sensitivity of ensemble Lagrangian reconstructions to assimilated wind time step resolution. Atmospheric chemistry and physics. 10(7). 3155–3162. 12 indexed citations
20.
Huret, Nathalie, et al.. (2006). On the ability of chemical transport models to simulate the vertical structure of the N 2 O, NO 2 and HNO 3 species in the mid-latitude stratosphere. Atmospheric chemistry and physics. 6(6). 1599–1609. 15 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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