Taneil Uttal

6.8k total citations
76 papers, 3.0k citations indexed

About

Taneil Uttal is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, Taneil Uttal has authored 76 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Atmospheric Science, 68 papers in Global and Planetary Change and 7 papers in Earth-Surface Processes. Recurrent topics in Taneil Uttal's work include Atmospheric aerosols and clouds (54 papers), Atmospheric chemistry and aerosols (40 papers) and Meteorological Phenomena and Simulations (23 papers). Taneil Uttal is often cited by papers focused on Atmospheric aerosols and clouds (54 papers), Atmospheric chemistry and aerosols (40 papers) and Meteorological Phenomena and Simulations (23 papers). Taneil Uttal collaborates with scholars based in United States, Canada and Germany. Taneil Uttal's co-authors include Matthew D. Shupe, Sergey Y. Matrosov, Janet Intrieri, Brandi McCarty, C. W. Fairall, S. Starkweather, A. S. Frisch, J. B. Snider, Christopher S. Bretherton and Andrew K. Heidinger and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Journal of Climate.

In The Last Decade

Taneil Uttal

70 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taneil Uttal United States 27 2.9k 2.7k 280 106 105 76 3.0k
Peter N. Francis United Kingdom 27 2.6k 0.9× 2.6k 1.0× 281 1.0× 110 1.0× 193 1.8× 56 2.9k
J. Kirk Ayers United States 24 2.2k 0.8× 2.3k 0.9× 215 0.8× 136 1.3× 179 1.7× 49 2.5k
Igor V. Geogdzhayev United States 23 1.9k 0.7× 2.0k 0.7× 187 0.7× 118 1.1× 104 1.0× 38 2.1k
Andrew M. Vogelmann United States 27 2.0k 0.7× 1.9k 0.7× 201 0.7× 90 0.8× 65 0.6× 85 2.3k
Sally A. McFarlane United States 24 2.0k 0.7× 2.1k 0.8× 198 0.7× 72 0.7× 41 0.4× 48 2.2k
Ralph E. Kuehn United States 18 2.9k 1.0× 3.0k 1.1× 171 0.6× 189 1.8× 65 0.6× 32 3.2k
Stuart A. Young Australia 24 4.1k 1.4× 4.4k 1.6× 273 1.0× 168 1.6× 87 0.8× 48 4.5k
Baike Xi United States 29 2.5k 0.9× 2.5k 0.9× 174 0.6× 70 0.7× 52 0.5× 115 2.8k
Helen Brindley United Kingdom 23 1.4k 0.5× 1.4k 0.5× 294 1.1× 64 0.6× 123 1.2× 79 1.7k
Tom F. Eck United States 9 1.9k 0.7× 2.0k 0.7× 140 0.5× 136 1.3× 48 0.5× 13 2.1k

Countries citing papers authored by Taneil Uttal

Since Specialization
Citations

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

Fields of papers citing papers by Taneil Uttal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taneil Uttal

This figure shows the co-authorship network connecting the top 25 collaborators of Taneil Uttal. A scholar is included among the top collaborators of Taneil Uttal 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 Taneil Uttal. Taneil Uttal 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.
Uttal, Taneil, Leslie M. Hartten, S. S. Khalsa, et al.. (2024). Merged Observatory Data Files (MODFs): an integrated observational data product supporting process-oriented investigations and diagnostics. Geoscientific model development. 17(13). 5225–5247.
2.
Maahn, Maximilian, Martin Radenz, Christopher J. Cox, et al.. (2021). Measuring snowfall properties with the Video In Situ Snowfall Sensor during MOSAiC. 1 indexed citations
3.
Cox, Christopher J., et al.. (2021). The De-Icing Comparison Experiment (D-ICE): a study of broadband radiometric measurements under icing conditions in the Arctic. Atmospheric measurement techniques. 14(2). 1205–1224. 12 indexed citations
4.
Wagner, David N., Matthew D. Shupe, Ola G. Persson, et al.. (2021). Snowfall and snow accumulation processes during the MOSAiC winter and spring season. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 11 indexed citations
5.
Yang, Xin, Kristof Bognar, Audra McClure-Begley, et al.. (2020). Pan-Arctic surface ozone: modelling vs. measurements. Atmospheric chemistry and physics. 20(24). 15937–15967. 19 indexed citations
6.
Schmeisser, Lauren, John Backman, J. A. Ogren, et al.. (2018). Seasonality of aerosol optical properties in the Arctic. Atmospheric chemistry and physics. 18(16). 11599–11622. 70 indexed citations
7.
Mungall, Emma L., Jonathan P. D. Abbatt, Jeremy J. B. Wentzell, et al.. (2018). High gas-phase mixing ratios of formic and acetic acid in the High Arctic. Atmospheric chemistry and physics. 18(14). 10237–10254. 26 indexed citations
8.
Grachev, Andrey A., Ola Persson, Taneil Uttal, et al.. (2017). Surface energy budget and turbulent fluxes at Arctic terrestrial sites. EGU General Assembly Conference Abstracts. 10765. 1 indexed citations
9.
Weaver, Dan, Kimberly Strong, Matthias Schneider, et al.. (2017). Intercomparison of atmospheric water vapour measurements at a Canadian High Arctic site. Atmospheric measurement techniques. 10(8). 2851–2880. 14 indexed citations
10.
Backman, John, Lauren Schmeisser, Aki Virkkula, et al.. (2016). On Aethalometer measurement uncertainties and multiple scatteringenhancement in the Arctic. 6 indexed citations
11.
Asmi, Eija, David Brus, Tuomas Laurila, et al.. (2016). Aerosol size distribution seasonal characteristics measured in Tiksi, Russian Arctic. Atmospheric chemistry and physics. 16(3). 1271–1287. 89 indexed citations
12.
Grachev, Andrey A., et al.. (2012). Boundary-layer measurements and surface fluxes in Arctic at the Eureka (Canada) and Tiksi (Russia) climate observatories. EGU General Assembly Conference Abstracts. 2535. 2 indexed citations
13.
Spangenberg, Douglas A., Qing Z. Trepte, Patrick Minnis, & Taneil Uttal. (2004). Daytime Cloud Property Retrievals Over the Arctic from Multispectral MODIS Data. NASA STI Repository (National Aeronautics and Space Administration). 3 indexed citations
14.
Overland, James E., et al.. (2004). National Oceanic and Atmospheric Administration(NOAA) Arctic Climate Change Studies: A Contribution to IPY. AGU Fall Meeting Abstracts. 2004. 2 indexed citations
15.
Westwater, E. R., M. Klein, V. Leuski, et al.. (2004). The 2004 North Slope of Alaska Arctic Winter Radiometric Experiment. 7 indexed citations
16.
Minnis, Patrick, David R. Doelling, Walter H. F. Smith, et al.. (2003). Comparison of surface, satellite, and aircraft ice cloud properties during CRYSTAL-FACE. EAEJA. 14534.
17.
Shupe, Matthew D., Taneil Uttal, Sergey Y. Matrosov, & A. S. Frisch. (2001). Cloud water contents and hydrometeor sizes during the FIRE Arctic Clouds Experiment. Journal of Geophysical Research Atmospheres. 106(D14). 15015–15028. 76 indexed citations
18.
Clothiaux, Eugene E., Kenneth P. Moran, Brooks E. Martner, et al.. (1999). The Atmospheric Radiation Measurement Program Cloud Radars: Operational Modes. Journal of Atmospheric and Oceanic Technology. 16(7). 819–827. 86 indexed citations
19.
Uttal, Taneil, et al.. (1993). Cloud boundaries during FIRE 2. 4 indexed citations
20.
Uttal, Taneil, et al.. (1990). Cloud parameters from IR lidar and other instruments - CLARET design and preliminary results. 1 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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