J. Tannahill

682 total citations
11 papers, 458 citations indexed

About

J. Tannahill is a scholar working on Atmospheric Science, Global and Planetary Change and Automotive Engineering. According to data from OpenAlex, J. Tannahill has authored 11 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atmospheric Science, 8 papers in Global and Planetary Change and 1 paper in Automotive Engineering. Recurrent topics in J. Tannahill's work include Atmospheric chemistry and aerosols (5 papers), Climate variability and models (5 papers) and Meteorological Phenomena and Simulations (5 papers). J. Tannahill is often cited by papers focused on Atmospheric chemistry and aerosols (5 papers), Climate variability and models (5 papers) and Meteorological Phenomena and Simulations (5 papers). J. Tannahill collaborates with scholars based in United States, China and France. J. Tannahill's co-authors include D. D. Lucas, Stephen A. Klein, Peter S. Connell, D. Rotman, Philip J. Rasch, Shaocheng Xie, S. Brandon, R. Klein, Curt Covey and Richard Klein and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Journal of Geophysical Research Atmospheres.

In The Last Decade

J. Tannahill

11 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Tannahill United States 8 367 354 51 35 26 11 458
Todd Berendes United States 10 292 0.8× 287 0.8× 51 1.0× 54 1.5× 14 0.5× 25 404
Sarah T. Bedka United States 10 646 1.8× 715 2.0× 51 1.0× 28 0.8× 21 0.8× 14 788
Danyu Qin China 10 223 0.6× 194 0.5× 22 0.4× 37 1.1× 42 1.6× 28 338
Thad Chee United States 9 264 0.7× 294 0.8× 32 0.6× 25 0.7× 17 0.7× 16 366
Michele L. Nordeen United States 9 669 1.8× 716 2.0× 59 1.2× 28 0.8× 12 0.5× 26 787
David Leutwyler Switzerland 9 619 1.7× 604 1.7× 14 0.3× 70 2.0× 12 0.5× 21 733
Bipasha Paul Shukla India 10 187 0.5× 184 0.5× 27 0.5× 42 1.2× 8 0.3× 46 300
Daniel Morstad United States 11 665 1.8× 585 1.7× 66 1.3× 70 2.0× 8 0.3× 13 819
Di Xian China 9 244 0.7× 142 0.4× 24 0.5× 67 1.9× 12 0.5× 19 336
Max Frioud Switzerland 9 250 0.7× 249 0.7× 14 0.3× 52 1.5× 16 0.6× 23 392

Countries citing papers authored by J. Tannahill

Since Specialization
Citations

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

Fields of papers citing papers by J. Tannahill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Tannahill

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

All Works

11 of 11 papers shown
1.
Qian, Yun, Huiping Yan, Zhangshuan Hou, et al.. (2015). Parametric sensitivity analysis of precipitation at global and local scales in the Community Atmosphere Model CAM5. Journal of Advances in Modeling Earth Systems. 7(2). 382–411. 84 indexed citations
2.
Boyle, J. S., Stephen A. Klein, D. D. Lucas, et al.. (2015). The parametric sensitivity of CAM5's MJO. Journal of Geophysical Research Atmospheres. 120(4). 1424–1444. 55 indexed citations
3.
Lucas, D. D., Curt Covey, R. Klein, J. Tannahill, & D. Ivanova. (2013). Quantifying Uncertainties in the Seasonal Cycle of Arctic Sea Ice. AGUFM. 2013. 1 indexed citations
4.
Covey, Curt, et al.. (2013). Efficient screening of climate model sensitivity to a large number of perturbed input parameters. Journal of Advances in Modeling Earth Systems. 5(3). 598–610. 29 indexed citations
5.
Lucas, D. D., R. Klein, J. Tannahill, et al.. (2013). Failure analysis of parameter-induced simulation crashes in climate models. Geoscientific model development. 6(4). 1157–1171. 65 indexed citations
6.
Zhang, Yuying, Shaocheng Xie, Curt Covey, et al.. (2012). Regional assessment of the parameter‐dependent performance of CAM4 in simulating tropical clouds. Geophysical Research Letters. 39(14). 34 indexed citations
7.
Tannahill, J., et al.. (2011). Poster. 17–18. 4 indexed citations
8.
Tannahill, J., S. Brandon, Curt Covey, et al.. (2010). The Climate Uncertainty Quantification Project at Lawrence Livermore National Laboratory: I. Initial Analysis of the Sensitivities and Uncertainties in the Community Atmosphere Model. AGU Fall Meeting Abstracts. 2010. 2 indexed citations
9.
Rotman, D., C. S. Atherton, D. Bergmann, et al.. (2004). IMPACT, the LLNL 3‐D global atmospheric chemical transport model for the combined troposphere and stratosphere: Model description and analysis of ozone and other trace gases. Journal of Geophysical Research Atmospheres. 109(D4). 85 indexed citations
10.
Rotman, D., J. Tannahill, D. E. Kinnison, et al.. (2001). Global Modeling Initiative assessment model: Model description, integration, and testing of the transport shell. Journal of Geophysical Research Atmospheres. 106(D2). 1669–1691. 70 indexed citations
11.
Kinnison, D. E., Peter S. Connell, J. M. Rodríguez, et al.. (2001). The Global Modeling Initiative assessment model: Application to high‐speed civil transport perturbation. Journal of Geophysical Research Atmospheres. 106(D2). 1693–1711. 29 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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