Travis D. Toth

906 total citations
20 papers, 485 citations indexed

About

Travis D. Toth is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Travis D. Toth has authored 20 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Travis D. Toth's work include Atmospheric aerosols and clouds (18 papers), Atmospheric chemistry and aerosols (18 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Travis D. Toth is often cited by papers focused on Atmospheric aerosols and clouds (18 papers), Atmospheric chemistry and aerosols (18 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Travis D. Toth collaborates with scholars based in United States, Canada and United Kingdom. Travis D. Toth's co-authors include Jianglong Zhang, Jeffrey S. Reid, Mark Vaughan, James R. Campbell, Jason L. Tackett, David M. Winker, Yingxi Shi, E. J. Hyer, Jayanta Kar and Brian Getzewich and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Atmospheric Environment and Atmospheric chemistry and physics.

In The Last Decade

Travis D. Toth

20 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis D. Toth United States 11 442 435 70 49 24 20 485
James A. Limbacher United States 13 370 0.8× 352 0.8× 73 1.0× 51 1.0× 13 0.5× 29 420
Myeong‐Jae Jeong United States 13 467 1.1× 477 1.1× 48 0.7× 25 0.5× 28 1.2× 15 512
Timothy Logan United States 13 473 1.1× 459 1.1× 69 1.0× 35 0.7× 43 1.8× 30 510
Rachid Abida France 13 289 0.7× 265 0.6× 40 0.6× 70 1.4× 12 0.5× 21 363
Jiali Luo China 15 443 1.0× 469 1.1× 45 0.6× 42 0.9× 14 0.6× 47 535
Yuxing Yun China 12 377 0.9× 410 0.9× 23 0.3× 32 0.7× 22 0.9× 24 437
V. Aaltonen Finland 13 441 1.0× 492 1.1× 129 1.8× 27 0.6× 10 0.4× 23 521
Julien Chimot Netherlands 11 309 0.7× 334 0.8× 84 1.2× 71 1.4× 20 0.8× 16 415
Adele L. Igel United States 13 458 1.0× 465 1.1× 23 0.3× 35 0.7× 46 1.9× 34 502
H. Lin United States 7 424 1.0× 479 1.1× 127 1.8× 50 1.0× 25 1.0× 10 519

Countries citing papers authored by Travis D. Toth

Since Specialization
Citations

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

Fields of papers citing papers by Travis D. Toth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis D. Toth. 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 Travis D. Toth. The network helps show where Travis D. Toth may publish in the future.

Co-authorship network of co-authors of Travis D. Toth

This figure shows the co-authorship network connecting the top 25 collaborators of Travis D. Toth. A scholar is included among the top collaborators of Travis D. Toth 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 Travis D. Toth. Travis D. Toth 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.
Wright, Christopher, et al.. (2023). Evaluating Mixing Height Estimations in the Western United States Using Satellite Observations. 24–32. 1 indexed citations
2.
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
3.
4.
Toth, Travis D., Jianglong Zhang, Mark Vaughan, Jeffrey S. Reid, & James R. Campbell. (2022). Retrieving particulate matter concentrations over the contiguous United States using CALIOP observations. Atmospheric Environment. 274. 118979–118979. 6 indexed citations
5.
6.
Kar, Jayanta, Jason L. Tackett, Sharon Rodier, et al.. (2021). Multi‐Year Seasonal Trends in Sea Ice, Chlorophyll Concentration, and Marine Aerosol Optical Depth in the Bellingshausen Sea. Journal of Geophysical Research Atmospheres. 126(21). 9 indexed citations
7.
Marquis, Jared W., James R. Campbell, Benjamin Ruston, et al.. (2020). Conceptualizing the Impact of Dust-Contaminated Infrared Radiances on Data Assimilation for Numerical Weather Prediction. Journal of Atmospheric and Oceanic Technology. 38(2). 209–221. 10 indexed citations
8.
Toth, Travis D., Jianglong Zhang, Jeffrey S. Reid, & Mark Vaughan. (2019). A bulk-mass-modeling-based method for retrieving particulate matter pollution using CALIOP observations. Atmospheric measurement techniques. 12(3). 1739–1754. 20 indexed citations
9.
10.
Kar, Jayanta, Mark Vaughan, Kam-Pui Lee, et al.. (2018). CALIPSO lidar calibration at 532 nm: version 4 nighttime algorithm. Atmospheric measurement techniques. 11(3). 1459–1479. 87 indexed citations
11.
Toth, Travis D., James R. Campbell, Jeffrey S. Reid, et al.. (2018). Minimum aerosol layer detection sensitivities and their subsequent impacts on aerosol optical thickness retrievals in CALIPSO level 2 data products. Atmospheric measurement techniques. 11(1). 499–514. 51 indexed citations
12.
Getzewich, Brian, Mark Vaughan, William H. Hunt, et al.. (2018). CALIPSO lidar calibration at 532 nm: version 4 daytime algorithm. Atmospheric measurement techniques. 11(11). 6309–6326. 60 indexed citations
13.
14.
Kar, Jayanta, Mark Vaughan, Kam-Pui Lee, et al.. (2017). CALIPSO Lidar Calibration at 532 nm: Version 4 Nighttime Algorithm. 9 indexed citations
15.
Toth, Travis D., Jianglong Zhang, James R. Campbell, Jeffrey S. Reid, & Mark Vaughan. (2016). Temporal variability of aerosol optical thickness vertical distribution observed from CALIOP. Journal of Geophysical Research Atmospheres. 121(15). 9117–9139. 31 indexed citations
16.
Toth, Travis D., Jianglong Zhang, James R. Campbell, et al.. (2014). Impact of data quality and surface-to-column representativeness on the PM 2.5 / satellite AOD relationship for the contiguous United States. Atmospheric chemistry and physics. 14(12). 6049–6062. 60 indexed citations
17.
Toth, Travis D., Jeffrey S. Reid, Douglas L. Westphal, et al.. (2013). Impact of Data Quality and Surface-to-Column Representativeness on the PM2.5/Satellite AOD Relationship for the Continental United States. AGUFM. 2013. 4 indexed citations
18.
Toth, Travis D., Jianglong Zhang, James R. Campbell, et al.. (2013). Investigating enhanced Aqua MODIS aerosol optical depth retrievals over the mid‐to‐high latitude Southern Oceans through intercomparison with co‐located CALIOP, MAN, and AERONET data sets. Journal of Geophysical Research Atmospheres. 118(10). 4700–4714. 54 indexed citations
19.
Riihimaki, Laura, et al.. (2012). Comparison of methods to determine Tropical Tropopause Layer cirrus formation mechanisms. Journal of Geophysical Research Atmospheres. 117(D6). 11 indexed citations
20.
Toth, Travis D.. (2004). High resolution geophysics provides optimal results on inland waterways. First Break. 22(9). 3 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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