M. D. Fromm

796 total citations
22 papers, 467 citations indexed

About

M. D. Fromm is a scholar working on Global and Planetary Change, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, M. D. Fromm has authored 22 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 17 papers in Atmospheric Science and 2 papers in Aerospace Engineering. Recurrent topics in M. D. Fromm's work include Atmospheric and Environmental Gas Dynamics (12 papers), Atmospheric chemistry and aerosols (10 papers) and Atmospheric Ozone and Climate (10 papers). M. D. Fromm is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (12 papers), Atmospheric chemistry and aerosols (10 papers) and Atmospheric Ozone and Climate (10 papers). M. D. Fromm collaborates with scholars based in United States, United Kingdom and Germany. M. D. Fromm's co-authors include Rick McRae, Jason J. Sharples, Paul Fox‐Hughes, Pauline F. Grierson, Geoffrey J. Cary, Michael‐Shawn Fletcher, Patrick J. Baker, Scott Mooney, Jason P. Evans and R. M. Bevilacqua and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Atmospheric chemistry and physics.

In The Last Decade

M. D. Fromm

22 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
M. D. Fromm United States 10 385 281 40 39 36 22 467
Nick Earl Australia 8 299 0.8× 222 0.8× 16 0.4× 22 0.6× 25 0.7× 13 374
G. P. Kablick United States 10 583 1.5× 502 1.8× 9 0.2× 17 0.4× 37 1.0× 18 625
Roger Randriamampianina Norway 12 287 0.7× 354 1.3× 19 0.5× 11 0.3× 5 0.1× 25 456
P.H. Gudiksen United States 12 316 0.8× 261 0.9× 14 0.3× 8 0.2× 36 1.0× 38 467
Stiig Wilkenskjeld Germany 9 257 0.7× 184 0.7× 5 0.1× 12 0.3× 13 0.4× 12 323
Masaru Inatsu Japan 15 702 1.8× 689 2.5× 10 0.3× 15 0.4× 14 0.4× 71 844
Pankaj Bhardwaj India 13 258 0.7× 174 0.6× 14 0.3× 6 0.2× 5 0.1× 25 360
Elizaveta Malinina Germany 11 291 0.8× 306 1.1× 31 0.8× 6 0.2× 3 0.1× 23 414
K. Savvidou Greece 7 262 0.7× 156 0.6× 19 0.5× 14 0.4× 3 0.1× 17 324
Lina Bai China 7 310 0.8× 482 1.7× 28 0.7× 8 0.2× 4 0.1× 22 560

Countries citing papers authored by M. D. Fromm

Since Specialization
Citations

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

Fields of papers citing papers by M. D. Fromm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. D. Fromm

This figure shows the co-authorship network connecting the top 25 collaborators of M. D. Fromm. A scholar is included among the top collaborators of M. D. Fromm 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. D. Fromm. M. D. Fromm 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.
Field, Robert D., Ming Luo, M. D. Fromm, et al.. (2016). Simulating the Black Saturday 2009 smoke plume with an interactive composition‐climate model: Sensitivity to emissions amount, timing, and injection height. Journal of Geophysical Research Atmospheres. 121(8). 4296–4316. 18 indexed citations
2.
Sharples, Jason J., Geoffrey J. Cary, Paul Fox‐Hughes, et al.. (2016). Natural hazards in Australia: extreme bushfire. Climatic Change. 139(1). 85–99. 196 indexed citations
3.
Peterson, David A., G. P. Kablick, M. D. Fromm, et al.. (2015). Biomass-burning aerosol effects on convective cloud properties and in the detrained UTLS environment: a pyroCb case study. 2015 AGU Fall Meeting. 2015. 1 indexed citations
4.
Fromm, M. D., Rick McRae, Jason J. Sharples, & G. P. Kablick. (2013). Pyrocumulonimbus pair in Wollemi and Blue Mountains National Parks, 22 November 2006. 62(3). 117–126. 29 indexed citations
5.
Guan, Hong, Jimena P. Lopez, R. W. Bergstrom, et al.. (2010). A multi-decadal history of biomass burning plume heights identified using aerosol index measurements. Atmospheric chemistry and physics. 10(14). 6461–6469. 60 indexed citations
6.
Fromm, M. D.. (2009). Satellite Views of unprecedented smoke plume altitude and persistence after the 7 February 2009 Victoria pyrocumulonimbus storms. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
7.
Fromm, M. D., C. Kittaka, E. W. Eloranta, et al.. (2008). Plumes cover the northern hemisphere: lidar views of summer 2008 volcanic and pyroconvective injections. AGUFM. 2008. 2 indexed citations
8.
Prata, Fred, Simon Carn, M. D. Fromm, & N. A. Krotkov. (2008). A-Train satellite observations of the 2008 Chaitén eruption clouds. AGU Fall Meeting Abstracts. 2008. 1 indexed citations
9.
Westphal, Douglas L., et al.. (2008). Numerical Investigation and Forecasting of the Kasatochi Ash Plume. AGUFM. 2008. 2 indexed citations
10.
Vanhellemont, F., C. Tétard, Adam Bourassa, et al.. (2008). Aerosol extinction profiles at 525 nm and 1020 nm derived from ACE imager data: comparisons with GOMOS, SAGE II, SAGE III, POAM III, and OSIRIS. Atmospheric chemistry and physics. 8(7). 2027–2037. 14 indexed citations
11.
Girolamo, Larry Di, et al.. (2008). Stereo observations of polar stratospheric clouds. Geophysical Research Letters. 35(17). 6 indexed citations
12.
Fromm, M. D.. (2005). PyroCb Warming of the Stratosphere and Cooling of the Surface: First Indications. AGUFM. 2005. 1 indexed citations
13.
Rasch, Philip J., et al.. (2005). An Exploratory Study of the Impact of Pyro-cumulonimbus Injections of Aerosol on the Upper Troposphere and Lower Stratosphere Climate During Northern Hemisphere Summer. AGUFM. 2005. 1 indexed citations
14.
Fromm, M. D., Omar Torres, Jennifer A. Logan, et al.. (2004). New Satellite Observations of Upper Tropospheric/Lower Stratospheric Aerosols: Case Studies over the U.S. and Canada. AGU Fall Meeting Abstracts. 2004. 5 indexed citations
15.
Massie, S. T., et al.. (2003). Multi-platform observations of Siberian forest fires. AGU Fall Meeting Abstracts. 2003. 1 indexed citations
16.
Hoppel, K. W., R. M. Bevilacqua, Carole Deniel, et al.. (2002). POAM III observations of arctic ozone loss for the 1999/2000 winter. Journal of Geophysical Research Atmospheres. 107(D20). 36 indexed citations
17.
Santee, M. L., A. Tabazadeh, G. L. Manney, et al.. (2002). A Lagrangian approach to studying Arctic polar stratospheric clouds using UARS MLS HNO3 and POAM II aerosol extinction measurements. Journal of Geophysical Research Atmospheres. 107(D10). 17 indexed citations
18.
Lumpe, J. D., M. D. Fromm, K. W. Hoppel, et al.. (2002). Comparison of POAM III ozone measurements with correlative aircraft and balloon data during SOLVE. Journal of Geophysical Research Atmospheres. 107(D5). 33 indexed citations
19.
Randall, C. E., D. W. Rusch, J. J. Olivero, et al.. (1996). An overview of POAM II aerosol measurments at 1.06 µm. Geophysical Research Letters. 23(22). 3195–3198. 20 indexed citations
20.
Stowe, Larry L. & M. D. Fromm. (1983). Nimbus-7 ERB sub-target radiance tape (STRT) data base. 5 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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