David Fillmore

7.7k total citations · 1 hit paper
15 papers, 2.0k citations indexed

About

David Fillmore is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, David Fillmore has authored 15 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 12 papers in Global and Planetary Change and 2 papers in Earth-Surface Processes. Recurrent topics in David Fillmore's work include Atmospheric chemistry and aerosols (10 papers), Atmospheric Ozone and Climate (9 papers) and Atmospheric aerosols and clouds (8 papers). David Fillmore is often cited by papers focused on Atmospheric chemistry and aerosols (10 papers), Atmospheric Ozone and Climate (9 papers) and Atmospheric aerosols and clouds (8 papers). David Fillmore collaborates with scholars based in United States, France and Germany. David Fillmore's co-authors include Geoffrey S. Tyndall, S. Kloster, Christine Wiedinmyer, Douglas E. Kinnison, Alex Guenther, John J. Orlando, S. Walters, Peter Hess, L. K. Emmons and Thomas Laepple and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Journal of Computational Physics.

In The Last Decade

David Fillmore

15 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4)

2010 1.4k citations L. K. Emmons, S. Walters et al. Geoscientific model development profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Fillmore United States	9	1.8k	1.4k	626	191	118	15	2.0k
Jason Tomlinson United States	20	1.9k 1.1×	1.6k 1.1×	772 1.2×	166 0.9×	159 1.3×	49	2.1k
Giandomenico Pace Italy	22	1.5k 0.8×	1.3k 0.9×	396 0.6×	229 1.2×	68 0.6×	59	1.7k
N. Spichtinger Germany	18	2.2k 1.2×	2.0k 1.4×	528 0.8×	134 0.7×	26 0.2×	22	2.4k
Narendra Singh India	24	1.5k 0.8×	1.3k 0.9×	692 1.1×	338 1.8×	23 0.2×	73	1.8k
G. J. Roelofs Netherlands	27	2.1k 1.2×	1.9k 1.4×	331 0.5×	103 0.5×	41 0.3×	52	2.4k
Pierre Tulet France	26	1.7k 0.9×	1.4k 1.0×	390 0.6×	232 1.2×	332 2.8×	73	1.9k
Zijiang Zhou China	15	929 0.5×	785 0.6×	316 0.5×	200 1.0×	256 2.2×	29	1.2k
Balwinder Singh United States	22	2.0k 1.1×	2.0k 1.4×	400 0.6×	91 0.5×	88 0.7×	59	2.3k
Marc Mallet France	25	1.3k 0.7×	1.3k 0.9×	334 0.5×	144 0.8×	76 0.6×	65	1.6k
Márcia Akemi Yamasoe Brazil	19	1.5k 0.8×	1.3k 0.9×	607 1.0×	158 0.8×	32 0.3×	47	1.9k

Countries citing papers authored by David Fillmore

Since Specialization

Citations

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

Fields of papers citing papers by David Fillmore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Fillmore

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Gaubert, Benjamin, D. P. Edwards, J. G. Anderson, et al.. (2023). Global Scale Inversions from MOPITT CO and MODIS AOD. Remote Sensing. 15(19). 4813–4813. 8 indexed citations

Tilmes, Simone, Michael Mills, Yunqian Zhu, et al.. (2023). Description and performance of a sectional aerosol microphysical model in the Community Earth System Model (CESM2). Geoscientific model development. 16(21). 6087–6125. 13 indexed citations

Fillmore, David, David A. Rutan, Seiji Kato, Fred G. Rose, & Thomas E. Caldwell. (2022). Evaluation of aerosol optical depths and clear-sky radiative fluxes of the CERES Edition 4.1 SYN1deg data product. Atmospheric chemistry and physics. 22(15). 10115–10137. 6 indexed citations

Fillmore, David, David A. Rutan, Seiji Kato, Fred G. Rose, & Thomas E. Caldwell. (2021). Evaluation of aerosol optical depths and clear-sky radiative fluxes of the CERES Edition 4.1 SYN1deg data product. 2 indexed citations

Kato, Seiji, David A. Rutan, Fred G. Rose, et al.. (2020). Uncertainty in Satellite-Derived Surface Irradiances and Challenges in Producing Surface Radiation Budget Climate Data Record. Remote Sensing. 12(12). 1950–1950. 10 indexed citations

Kato, Seiji, Fred G. Rose, David A. Rutan, et al.. (2015). Surface Atmosphere Radiation Budget (SARB) Working Group Update. NASA Technical Reports Server (NASA). 1 indexed citations

Pletzer, A. & David Fillmore. (2015). Conservative interpolation of edge and face data on n dimensional structured grids using differential forms. Journal of Computational Physics. 302. 21–40. 5 indexed citations

Emmons, L. K., S. Walters, Peter Hess, et al.. (2010). Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4). Geoscientific model development. 3(1). 43–67. 1408 indexed citations breakdown →

Emmons, L. K., S. Walters, Peter Hess, et al.. (2009). Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4). 43 indexed citations

10.

Yoshioka, Masaru, N. M. Mahowald, Andrew Conley, et al.. (2007). Impact of Desert Dust Radiative Forcing on Sahel Precipitation: Relative Importance of Dust Compared to Sea Surface Temperature Variations, Vegetation Changes, and Greenhouse Gas Warming. Journal of Climate. 20(8). 1445–1467. 256 indexed citations

11.

Emmons, L. K., Jean‐François Lamarque, David Fillmore, et al.. (2006). Sensitivity of Chemical Budgets to Meteorology in MOZART-4. AGUFM. 2006. 2 indexed citations

12.

Mahowald, N. M., et al.. (2006). Climate response and radiative forcing from mineral aerosols during the last glacial maximum, pre‐industrial, current and doubled‐carbon dioxide climates. Geophysical Research Letters. 33(20). 123 indexed citations

13.

Yoshioka, Masaru, N. M. Mahowald, Andrew Conley, et al.. (2005). Impact of Desert Dust Radiative Forcing on Sahel Precipitation. AGUFM. 2005. 3 indexed citations

14.

Collins, William D., P. J. Rasch, Brian Eaton, et al.. (2002). Simulation of aerosol distributions and radiative forcing for INDOEX: Regional climate impacts. Journal of Geophysical Research Atmospheres. 107(D19). 102 indexed citations

15.

Bony, Sandrine, William D. Collins, & David Fillmore. (2000). Indian Ocean Low Clouds during the Winter Monsoon. Journal of Climate. 13(12). 2028–2043. 25 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.

Explore authors with similar magnitude of impact