Ryan Thalman

3.4k total citations
25 papers, 1.0k citations indexed

About

Ryan Thalman is a scholar working on Atmospheric Science, Global and Planetary Change and Spectroscopy. According to data from OpenAlex, Ryan Thalman has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atmospheric Science, 16 papers in Global and Planetary Change and 12 papers in Spectroscopy. Recurrent topics in Ryan Thalman's work include Spectroscopy and Laser Applications (12 papers), Atmospheric chemistry and aerosols (11 papers) and Atmospheric Ozone and Climate (11 papers). Ryan Thalman is often cited by papers focused on Spectroscopy and Laser Applications (12 papers), Atmospheric chemistry and aerosols (11 papers) and Atmospheric Ozone and Climate (11 papers). Ryan Thalman collaborates with scholars based in United States, Switzerland and China. Ryan Thalman's co-authors include Rainer Volkamer, Kyle J. Zarzana, Margaret A. Tolbert, Jian Wang, Allen H. Goldstein, Geoffrey S. Tyndall, Christoph Knote, J. L. Jiménez, Drew R. Gentner and Patrick L. Hayes and has published in prestigious journals such as Analytical Chemistry, Physical Chemistry Chemical Physics and Atmospheric chemistry and physics.

In The Last Decade

Ryan Thalman

23 papers receiving 958 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Thalman United States 11 844 503 229 213 168 25 1.0k
Q. Kleipool Netherlands 13 1.3k 1.6× 1.1k 2.2× 70 0.3× 317 1.5× 196 1.2× 32 1.5k
David M. Wilmouth United States 14 1.1k 1.3× 730 1.5× 169 0.7× 137 0.6× 81 0.5× 32 1.3k
David L. Bones United Kingdom 16 1.4k 1.6× 513 1.0× 114 0.5× 735 3.5× 161 1.0× 30 1.7k
Brian J. Kerridge United Kingdom 22 937 1.1× 717 1.4× 162 0.7× 118 0.6× 78 0.5× 60 1.1k
G. Dufour France 26 1.4k 1.7× 1.1k 2.2× 175 0.8× 257 1.2× 169 1.0× 79 1.6k
M. Newchurch United States 20 1.1k 1.3× 823 1.6× 91 0.4× 234 1.1× 94 0.6× 41 1.2k
C. S. Eubank United States 13 971 1.2× 657 1.3× 89 0.4× 150 0.7× 101 0.6× 19 1.1k
James Marti United States 14 1.4k 1.7× 905 1.8× 78 0.3× 497 2.3× 106 0.6× 20 1.6k
James W. Hannigan United States 23 1.9k 2.2× 1.5k 3.0× 373 1.6× 187 0.9× 118 0.7× 83 2.1k
Jean‐Marie Flaud France 19 1.3k 1.6× 791 1.6× 732 3.2× 186 0.9× 107 0.6× 50 1.5k

Countries citing papers authored by Ryan Thalman

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Thalman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Thalman

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Thalman. A scholar is included among the top collaborators of Ryan Thalman 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 Ryan Thalman. Ryan Thalman 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
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Thalman, Ryan. (2024). Development and Testing of a Rocket-Based Sensor for Atmospheric Sensing Using an Unmanned Aerial System. Sensors. 24(6). 1768–1768. 2 indexed citations
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Thalman, Ryan, et al.. (2023). Laboratory Performance Evaluation of a Low-Cost Electrochemical Formaldehyde Sensor. Sensors. 23(17). 7444–7444. 5 indexed citations
6.
Thalman, Ryan, et al.. (2023). Twenty-Year Review of Outdoor Air Quality in Utah, USA. Atmosphere. 14(10). 1496–1496. 2 indexed citations
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Thalman, Ryan, et al.. (2022). Detection of Sulfur Dioxide by Broadband Cavity-Enhanced Absorption Spectroscopy (BBCEAS). Sensors. 22(7). 2626–2626. 7 indexed citations
9.
Wang, Jian, John E. Shilling, Jiumeng Liu, et al.. (2019). Cloud droplet activation of secondary organic aerosol is mainly controlled by molecular weight, not water solubility. Atmospheric chemistry and physics. 19(2). 941–954. 35 indexed citations
10.
Karman, Tijs, Iouli E. Gordon, Ad van der Avoird, et al.. (2019). Update of the HITRAN collision-induced absorption section. Icarus. 328. 160–175. 124 indexed citations
11.
Wang, Jian, John E. Shilling, Jiumeng Liu, et al.. (2018). Cloud droplet activation of secondary organic aerosol is mainly controlled by molecular weight, not water solubility. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
12.
Wang, Dié, Scott Giangrande, Mary Jane Bartholomew, et al.. (2018). The Green Ocean: Precipitation Insights from the GoAmazon2014/5 Experiment. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
13.
Wang, Dié, Scott Giangrande, Mary Jane Bartholomew, et al.. (2018). The Green Ocean: precipitation insights from the GoAmazon2014/5 experiment. Atmospheric chemistry and physics. 18(12). 9121–9145. 26 indexed citations
14.
Thalman, Ryan, et al.. (2015). Chemical aging of single and multicomponent biomass burning aerosol surrogate-particles by OH: implications for cloud condensation nucleus activity. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
15.
Slade, Jonathan H., Ryan Thalman, Jian Wang, & Daniel Knopf. (2015). Chemical aging of single and multicomponent biomass burning aerosol surrogate particles by OH: implications for cloud condensation nucleus activity. Atmospheric chemistry and physics. 15(17). 10183–10201. 30 indexed citations
16.
Zhou, Shouming, L. González, Amy Leithead, et al.. (2014). Formation of gas-phase carbonyls from heterogeneous oxidation of polyunsaturated fatty acids at the air–water interface and of the sea surface microlayer. Atmospheric chemistry and physics. 14(3). 1371–1384. 63 indexed citations
17.
Coburn, S., Iván Ortega, Ryan Thalman, et al.. (2014). Measurements of diurnal variations and eddy covariance (EC) fluxes of glyoxal in the tropical marine boundary layer: description of the Fast LED-CE-DOAS instrument. Atmospheric measurement techniques. 7(10). 3579–3595. 37 indexed citations
18.
Knote, Christoph, Alma Hodžić, J. L. Jiménez, et al.. (2014). Simulation of semi-explicit mechanisms of SOA formation from glyoxal in aerosol in a 3-D model. Atmospheric chemistry and physics. 14(12). 6213–6239. 152 indexed citations
19.
Thalman, Ryan. (2013). Development of Cavity Enhanced Differential Optical Absorption Spectroscopy (CE-DOAS) and application to laboratory and field measurements of trace gases and aerosols. CU Scholar (University of Colorado Boulder). 1 indexed citations
20.
Thalman, Ryan & Rainer Volkamer. (2010). Inherent calibration of a blue LED-CE-DOAS instrument to measure iodine oxide, glyoxal, methyl glyoxal, nitrogen dioxide, water vapour and aerosol extinction in open cavity mode. Atmospheric measurement techniques. 3(6). 1797–1814. 102 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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