M. Flanner

29.5k total citations · 5 hit papers
91 papers, 10.6k citations indexed

About

M. Flanner is a scholar working on Atmospheric Science, Global and Planetary Change and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M. Flanner has authored 91 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Atmospheric Science, 80 papers in Global and Planetary Change and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M. Flanner's work include Atmospheric chemistry and aerosols (51 papers), Cryospheric studies and observations (43 papers) and Atmospheric aerosols and clouds (39 papers). M. Flanner is often cited by papers focused on Atmospheric chemistry and aerosols (51 papers), Cryospheric studies and observations (43 papers) and Atmospheric aerosols and clouds (39 papers). M. Flanner collaborates with scholars based in United States, China and France. M. Flanner's co-authors include Charles S. Zender, Philip J. Rasch, James T. Randerson, David M. Lawrence, Sean Swenson, Keith W. Oleson, Gordon B. Bonan, Peter Lawrence, Samuel Levis and N. M. Mahowald and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

M. Flanner

89 papers receiving 10.3k citations

Hit Papers

Parameterization improvements and functional and structur... 2006 2026 2012 2019 2011 2007 2011 2006 2013 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Flanner United States 43 8.6k 7.3k 1.5k 830 689 91 10.6k
Baiqing Xu China 43 6.8k 0.8× 3.4k 0.5× 1.4k 0.9× 343 0.4× 1.3k 1.9× 162 9.0k
Jim Haywood United Kingdom 61 12.1k 1.4× 12.3k 1.7× 2.1k 1.4× 656 0.8× 223 0.3× 226 14.2k
Margit Schwikowski Switzerland 51 5.9k 0.7× 2.9k 0.4× 1.6k 1.1× 231 0.3× 725 1.1× 216 7.1k
Qinglong You China 51 5.7k 0.7× 6.0k 0.8× 664 0.4× 807 1.0× 582 0.8× 150 8.4k
T. H. Painter United States 55 8.9k 1.0× 5.3k 0.7× 501 0.3× 1.7k 2.1× 2.0k 3.0× 172 12.4k
Yves Balkanski France 55 8.7k 1.0× 7.3k 1.0× 1.6k 1.1× 635 0.8× 484 0.7× 131 11.1k
Tuula Aalto Finland 57 8.7k 1.0× 6.8k 0.9× 4.6k 3.1× 1.2k 1.4× 351 0.5× 226 10.0k
Daniel Joswiak China 24 3.6k 0.4× 1.8k 0.2× 541 0.4× 219 0.3× 481 0.7× 37 4.6k
G. Faluvegi United States 44 5.7k 0.7× 4.4k 0.6× 1.4k 0.9× 699 0.8× 681 1.0× 98 7.8k

Countries citing papers authored by M. Flanner

Since Specialization
Citations

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

Fields of papers citing papers by M. Flanner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Flanner

This figure shows the co-authorship network connecting the top 25 collaborators of M. Flanner. A scholar is included among the top collaborators of M. Flanner 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 M. Flanner. M. Flanner 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.
Xie, Yan, et al.. (2025). Machine Learning Detection of Melting Layers From Radar Observations. SHILAP Revista de lepidopterología. 2(2). 1 indexed citations
2.
Flanner, M., et al.. (2024). Earth's Sea Ice Radiative Effect From 1980 to 2023. Geophysical Research Letters. 51(14). 7 indexed citations
3.
Flanner, M., et al.. (2024). Quantifying Volumetric Scattering Bias in ICESat‐2 and Operation IceBridge Altimetry Over Greenland Firn and Aged Snow. Earth and Space Science. 11(6). 5 indexed citations
4.
Flanner, M., et al.. (2024). The Effect of Physically Based Ice Radiative Processes on Greenland Ice Sheet Albedo and Surface Mass Balance in E3SM. Journal of Geophysical Research Atmospheres. 129(7).
5.
He, Cenlin, M. Flanner, David M. Lawrence, & Yu Gu. (2024). New Features and Enhancements in Community Land Model (CLM5) Snow Albedo Modeling: Description, Sensitivity, and Evaluation. Journal of Advances in Modeling Earth Systems. 16(2). 9 indexed citations
6.
Gerlein‐Safdi, Cynthia, Philipp Köhler, Shujie Wang, et al.. (2023). Algae Blooms on the Greenland Ice Sheet Detected Through Solar-Induced Fluorescence. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–9. 1 indexed citations
7.
Flanner, M., et al.. (2022). Sensitivity of modeled snow grain size retrievals to solar geometry, snow particle asphericity, and snowpack impurities. ˜The œcryosphere. 16(9). 3801–3814. 7 indexed citations
8.
Brown, Hunter, Hailong Wang, M. Flanner, et al.. (2022). Brown Carbon Fuel and Emission Source Attributions to Global Snow Darkening Effect. Journal of Advances in Modeling Earth Systems. 14(4). 10 indexed citations
9.
Flanner, M., et al.. (2019). Monitoring of snow surface near-infrared bidirectional reflectance factors with added light-absorbing particles. ˜The œcryosphere. 13(6). 1753–1766. 9 indexed citations
10.
Dang, Cheng, Charles S. Zender, & M. Flanner. (2019). Intercomparison and improvement of two-stream shortwave radiative transfer schemes in Earth system models for a unified treatment of cryospheric surfaces. ˜The œcryosphere. 13(9). 2325–2343. 38 indexed citations
12.
Matsui, Hitoshi, N. M. Mahowald, Nobuhiro Moteki, et al.. (2018). Anthropogenic combustion iron as a complex climate forcer. Nature Communications. 9(1). 1593–1593. 92 indexed citations
13.
Thomas, Jennie L., Chris Polashenski, A. J. Soja, et al.. (2017). Quantifying black carbon deposition over the Greenland ice sheet from forest fires in Canada. Geophysical Research Letters. 44(15). 7965–7974. 41 indexed citations
14.
Mahmood, Rashed, Knut von Salzen, M. Flanner, et al.. (2016). Seasonality of global and Arctic black carbon processes in the Arctic Monitoring and Assessment Programme models. Journal of Geophysical Research Atmospheres. 121(12). 7100–7116. 43 indexed citations
15.
Zhao, Chun, Zhiyuan Hu, Yun Qian, et al.. (2014). Simulating black carbon and dust and their radiative forcing in seasonal snow: a case study over North China with field campaign measurements. Atmospheric chemistry and physics. 14(20). 11475–11491. 115 indexed citations
16.
Doherty, Sarah J., Cecilia M. Bitz, & M. Flanner. (2014). Biases in modeled surface snow BC mixing ratios in prescribed-aerosol climate model runs. Atmospheric chemistry and physics. 14(21). 11697–11709. 8 indexed citations
17.
McConnell, Joseph R., et al.. (2013). Retention and radiative forcing of black carbon in eastern Sierra Nevada snow. ˜The œcryosphere. 7(1). 365–374. 77 indexed citations
18.
Flanner, M., Xiaohong Liu, Cheng Zhou, Joyce E. Penner, & C. Jiao. (2012). Enhanced solar energy absorption by internally-mixed black carbon in snow grains. Atmospheric chemistry and physics. 12(10). 4699–4721. 117 indexed citations
19.
Bond, Tami C., Colin M. Zarzycki, M. Flanner, & D. Koch. (2011). Quantifying immediate radiative forcing by black carbon and organic matter with the Specific Forcing Pulse. Atmospheric chemistry and physics. 11(4). 1505–1525. 126 indexed citations
20.
Quinn, Patricia K., A. Stohl, Almut Arneth, et al.. (2011). The Impact of Transported Pollution on Arctic Climate. AGUFM. 2011. 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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