T. P. Kurosu

816 total citations
9 papers, 429 citations indexed

About

T. P. Kurosu is a scholar working on Atmospheric Science, Global and Planetary Change and Spectroscopy. According to data from OpenAlex, T. P. Kurosu has authored 9 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atmospheric Science, 6 papers in Global and Planetary Change and 2 papers in Spectroscopy. Recurrent topics in T. P. Kurosu's work include Atmospheric Ozone and Climate (8 papers), Atmospheric chemistry and aerosols (7 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). T. P. Kurosu is often cited by papers focused on Atmospheric Ozone and Climate (8 papers), Atmospheric chemistry and aerosols (7 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). T. P. Kurosu collaborates with scholars based in United States, Canada and France. T. P. Kurosu's co-authors include K. Chance, Randall V. Martin, Véronique Yoboué, Luc Sigha-Nkamdjou, Lyatt Jaeglé, D. J. Jacob, Xiong Liu, Corinne Galy‐Lacaux, Christopher E. Sioris and Fabien Paulot and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Atmospheric chemistry and physics and Advances in Space Research.

In The Last Decade

T. P. Kurosu

8 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. P. Kurosu United States 5 397 322 69 48 14 9 429
C. S. Atherton United States 9 448 1.1× 326 1.0× 91 1.3× 30 0.6× 13 0.9× 15 484
A. Klonecki United States 11 712 1.8× 601 1.9× 112 1.6× 42 0.9× 14 1.0× 14 750
Gisèle Krysztofiak France 13 410 1.0× 292 0.9× 129 1.9× 72 1.5× 14 1.0× 25 467
I. Köhler Germany 8 341 0.9× 270 0.8× 129 1.9× 43 0.9× 12 0.9× 13 444
Yasmine Ngadi France 7 372 0.9× 335 1.0× 48 0.7× 45 0.9× 6 0.4× 8 410
E. Czech United States 4 433 1.1× 291 0.9× 114 1.7× 50 1.0× 21 1.5× 5 464
K. Lapina United States 8 358 0.9× 268 0.8× 97 1.4× 32 0.7× 30 2.1× 9 413
M. van den Broek Netherlands 4 393 1.0× 379 1.2× 66 1.0× 23 0.5× 20 1.4× 6 457
V. Kazan France 9 264 0.7× 289 0.9× 41 0.6× 40 0.8× 11 0.8× 12 332
W. T. Sturges United Kingdom 5 227 0.6× 169 0.5× 51 0.7× 16 0.3× 10 0.7× 9 306

Countries citing papers authored by T. P. Kurosu

Since Specialization
Citations

This map shows the geographic impact of T. P. Kurosu'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 T. P. Kurosu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. P. Kurosu more than expected).

Fields of papers citing papers by T. P. Kurosu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. P. Kurosu. 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 T. P. Kurosu. The network helps show where T. P. Kurosu may publish in the future.

Co-authorship network of co-authors of T. P. Kurosu

This figure shows the co-authorship network connecting the top 25 collaborators of T. P. Kurosu. A scholar is included among the top collaborators of T. P. Kurosu 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 T. P. Kurosu. T. P. Kurosu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Suleiman, R., et al.. (2013). OMI BrO measurements: Operational data analysis algorithm and initial validation. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
2.
Marais, Eloïse A., Daniel J. Jacob, T. P. Kurosu, et al.. (2012). Isoprene emissions in Africa inferred from OMI observations of formaldehyde columns. Atmospheric chemistry and physics. 12(14). 6219–6235. 144 indexed citations
3.
Nowlan, Caroline R., Xiong Liu, K. Chance, et al.. (2011). Retrievals of sulfur dioxide from the Global Ozone Monitoring Experiment 2 (GOME-2) using an optimal estimation approach: Algorithm and initial validation. Journal of Geophysical Research Atmospheres. 116(D18). 69 indexed citations
4.
Marshall, N. Justin, Sergio Alvarez, K. Chance, et al.. (2010). Formaldehyde columns from the Ozone Monitoring Instrument: Urban versus background levels and evaluation using aircraft data and a global model. AGUFM. 2010.
5.
Kurosu, T. P., et al.. (2008). Air Quality Observations from the Ozone Monitoring Instrument on EOS/Aura - HCHO and CHO-CHO. AGUSM. 2008. 1 indexed citations
6.
Sioris, Christopher E., L. J. Kovalenko, C. A. McLinden, et al.. (2006). Latitudinal and vertical distribution of bromine monoxide in the lower stratosphere from Scanning Imaging Absorption Spectrometer for Atmospheric Chartography limb scattering measurements. Journal of Geophysical Research Atmospheres. 111(D14). 49 indexed citations
7.
Kurosu, T. P., K. Chance, & Rainer Volkamer. (2005). Global Measurements of BrO, HCHO, and CHOCHO from the Ozone Monitoring Instrument on EOS Aura. AGUFM. 2005. 3 indexed citations
8.
Jaeglé, Lyatt, Randall V. Martin, K. Chance, et al.. (2004). Satellite mapping of rain‐induced nitric oxide emissions from soils. Journal of Geophysical Research Atmospheres. 109(D21). 127 indexed citations
9.
Sioris, Christopher E., T. P. Kurosu, Randall V. Martin, & K. Chance. (2004). Stratospheric and tropospheric NO2 observed by SCIAMACHY: first results. Advances in Space Research. 34(4). 780–785. 35 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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