Andrew Tangborn

4.5k total citations
38 papers, 436 citations indexed

About

Andrew Tangborn is a scholar working on Atmospheric Science, Global and Planetary Change and Molecular Biology. According to data from OpenAlex, Andrew Tangborn has authored 38 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 16 papers in Global and Planetary Change and 13 papers in Molecular Biology. Recurrent topics in Andrew Tangborn's work include Geomagnetism and Paleomagnetism Studies (13 papers), Meteorological Phenomena and Simulations (11 papers) and Geophysics and Gravity Measurements (11 papers). Andrew Tangborn is often cited by papers focused on Geomagnetism and Paleomagnetism Studies (13 papers), Meteorological Phenomena and Simulations (11 papers) and Geophysics and Gravity Measurements (11 papers). Andrew Tangborn collaborates with scholars based in United States, France and Germany. Andrew Tangborn's co-authors include Weijia Kuang, Sara Q. Zhang, Zigang Wei, Florian Lhuillier, D. Jault, Julien Aubert, Gauthier Hulot, Nicolas Gillet, Alexandre Fournier and Elisabeth Canet and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of The Electrochemical Society and Atmospheric Environment.

In The Last Decade

Andrew Tangborn

37 papers receiving 423 citations

Peers

Andrew Tangborn

OCEAN

GPC

GEOPH

A. Albertella Italy

Uwe Harlander Germany

Martin Fengler Germany

George Buzyna United States

Julien Baerenzung Germany

Matthias Morzfeld United States

Frank B. Lipps United States

C. R. Hagelberg United States

Zhibin Yu China

H. C. Godinez United States

A. Albertella Italy

Andrew Tangborn

93 ×0.4

91 ×0.4

225 ×1.5

OCEAN

80 ×0.7

GPC

71 ×0.6

GEOPH

Citations per year, relative to Andrew Tangborn Andrew Tangborn (= 1×) peers A. Albertella

Countries citing papers authored by Andrew Tangborn

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Tangborn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Tangborn

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

All Works

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20 of 20 papers shown

Martin, Cory, Jérôme Barré, Ruifang Li, et al.. (2025). PM _2.5 Assimilation within JEDI for NOAA's Regional Air Quality Model (AQMv7): Application to the September 2020 Western U.S. Wildfires.

Pagowski, Mariusz, Samuel Trahan, Cory Martin, et al.. (2023). JEDI‐Based Three‐Dimensional Ensemble‐Variational Data Assimilation System for Global Aerosol Forecasting at NCEP. Journal of Advances in Modeling Earth Systems. 15(4). 5 indexed citations

Yang, Zhifeng, Belay Demoz, Rubén Delgado, et al.. (2022). The Dynamical Role of the Chesapeake Bay on the Local Ozone Pollution Using Mesoscale Modeling—A Case Study. Atmosphere. 13(5). 641–641. 1 indexed citations

Tangborn, Andrew, et al.. (2021). Geomagnetic secular variation forecast using the NASA GEMS ensemble Kalman filter: A candidate SV model for IGRF-13. Earth Planets and Space. 73(1). 47–47. 3 indexed citations

Tangborn, Andrew, Belay Demoz, Brian Carroll, Joseph A. Santanello, & J. G. Anderson. (2021). Assimilation of lidar planetary boundary layer height observations. Atmospheric measurement techniques. 14(2). 1099–1110. 11 indexed citations

DeSouza‐Machado, Sergio, L. Larrabee Strow, Andrew Tangborn, et al.. (2018). Single-footprint retrievals for AIRS using a fast TwoSlab cloud-representation model and the SARTA all-sky infrared radiative transfer algorithm. Atmospheric measurement techniques. 11(1). 529–550. 20 indexed citations

Yang, Zhifeng, Belay Demoz, Rubén Delgado, et al.. (2018). Mesoscale Modeling of the Canadian wildfire smoke transported within the Planetary Boundary Layer in Maryland. AGUFM. 2018. 1 indexed citations

Warner, J. X., Ruixia Yang, Zigang Wei, et al.. (2014). Global carbon monoxide products from combined AIRS, TES and MLS measurements on A-train satellites. Atmospheric chemistry and physics. 14(1). 103–114. 20 indexed citations

Tangborn, Andrew & Weijia Kuang. (2014). Geodynamo model and error parameter estimation using geomagnetic data assimilation. Geophysical Journal International. 200(1). 664–675. 12 indexed citations

10.

Tangborn, Andrew, et al.. (2013). Evaluation of a new middle-lower tropospheric CO ₂ product using data assimilation. Atmospheric chemistry and physics. 13(9). 4487–4500. 8 indexed citations

11.

Kuang, Weijia, Zigang Wei, R. Holme, & Andrew Tangborn. (2010). Prediction of geomagnetic field with data assimilation: a candidate secular variation model for IGRF-11. Earth Planets and Space. 62(10). 775–785. 23 indexed citations

12.

Liu, Don, Weijia Kuang, & Andrew Tangborn. (2009). High‐Order Compact Implicit Difference Methods For Parabolic Equations in Geodynamo Simulation. Advances in Mathematical Physics. 2009(1). 4 indexed citations

13.

Tangborn, Andrew, Ivanka Štajner, Michael Buchwitz, et al.. (2009). Assimilation of SCIAMACHY total column CO observations: Global and regional analysis of data impact. Journal of Geophysical Research Atmospheres. 114(D7). 19 indexed citations

14.

Kuang, Weijia, et al.. (2008). MoSST-DAS: The First Generation Geomagnetic Data Assimilation Framework. 20 indexed citations

15.

Kuang, Weijia, et al.. (2006). Observing System Simulation Experiments in Geomagnetic Data Assimilation. AGUSM. 2007. 2 indexed citations

16.

Tangborn, Andrew. (2004). Wavelet approximation of error covariance propagation in data assimilation. Tellus A Dynamic Meteorology and Oceanography. 56(1). 16–16. 10 indexed citations

17.

Auger, Ludovic & Andrew Tangborn. (2004). A Wavelet-Based Reduced Rank Kalman Filter for Assimilation of Stratospheric Chemical Tracer Observations. Monthly Weather Review. 132(5). 1220–1237. 7 indexed citations

18.

Tangborn, Andrew, et al.. (1996). Numerical simulations of mixing in a two-dimensional periodic flow with buoyancy. Computers & Fluids. 25(2). 151–163. 1 indexed citations

19.

Zhang, Sara Q. & Andrew Tangborn. (1995). TWO- AND THREE-DIMENSIONAL HEAT TRANSFER IN MIXED CONVECTION WITH STREAMWISE PERIODIC HEATING. Numerical Heat Transfer Part A Applications. 28(4). 431–442. 4 indexed citations

20.

Tangborn, Andrew, et al.. (1995). A three-dimensional instability in mixed convection with streamwise periodic heating. Physics of Fluids. 7(11). 2648–2658. 10 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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