Molly E. Brown

12.1k total citations · 4 hit papers
142 papers, 8.0k citations indexed

About

Molly E. Brown is a scholar working on Global and Planetary Change, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Molly E. Brown has authored 142 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Global and Planetary Change, 38 papers in Ecology and 29 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Molly E. Brown's work include Climate change impacts on agriculture (29 papers), Remote Sensing in Agriculture (25 papers) and Agricultural risk and resilience (18 papers). Molly E. Brown is often cited by papers focused on Climate change impacts on agriculture (29 papers), Remote Sensing in Agriculture (25 papers) and Agricultural risk and resilience (18 papers). Molly E. Brown collaborates with scholars based in United States, United Kingdom and Switzerland. Molly E. Brown's co-authors include Jorge Enrique Dí­az Pinzón, Compton J. Tucker, Éric Vermote, Robert Mahoney, D. A. Slayback, Nazmi Saleous, Chang‐Hoi Ho, Sujong Jeong, Hyeon‐Ju Gim and Chris Funk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.

In The Last Decade

Molly E. Brown

137 papers receiving 7.7k citations

Hit Papers

An extended AVHRR 8‐km NDVI dataset compatible with MODIS... 2005 2026 2012 2019 2005 2011 2014 2019 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Molly E. Brown United States 39 4.2k 3.3k 1.7k 1.1k 1.1k 142 8.0k
Hans Tømmervik Norway 39 4.3k 1.0× 3.4k 1.0× 2.9k 1.7× 826 0.7× 736 0.7× 140 8.5k
Quansheng Ge China 55 5.4k 1.3× 2.8k 0.8× 3.4k 2.0× 1.7k 1.5× 1.0k 0.9× 393 10.5k
Geoffrey M. Henebry United States 46 3.7k 0.9× 3.6k 1.1× 1.3k 0.8× 1.8k 1.6× 453 0.4× 175 6.8k
D. A. Slayback United States 22 4.1k 1.0× 3.1k 0.9× 1.7k 1.0× 938 0.8× 545 0.5× 37 6.1k
Miguel D. Mahecha Germany 42 5.6k 1.3× 2.2k 0.7× 2.2k 1.3× 792 0.7× 532 0.5× 131 7.7k
Kjeld Rasmussen Denmark 30 3.6k 0.8× 2.5k 0.8× 1.2k 0.7× 1.5k 1.3× 717 0.6× 77 6.0k
Stephen D. Prince United States 45 5.4k 1.3× 4.5k 1.3× 1.5k 0.9× 1.8k 1.6× 522 0.5× 115 8.2k
Geli Zhang China 36 3.9k 0.9× 4.0k 1.2× 1.6k 0.9× 1.4k 1.3× 374 0.3× 86 6.3k
Xiao‐Peng Song United States 38 4.3k 1.0× 3.1k 0.9× 1.1k 0.7× 1.7k 1.5× 366 0.3× 80 7.5k
Katharine Hayhoe United States 41 5.3k 1.3× 2.0k 0.6× 2.5k 1.5× 768 0.7× 788 0.7× 120 9.1k

Countries citing papers authored by Molly E. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Molly E. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Molly E. Brown. 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 Molly E. Brown. The network helps show where Molly E. Brown may publish in the future.

Co-authorship network of co-authors of Molly E. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Molly E. Brown. A scholar is included among the top collaborators of Molly E. Brown 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 Molly E. Brown. Molly E. Brown 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.
Kennedy, Robert E., Shawn Serbin, Michael C. Dietze, et al.. (2024). Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System. Environmental Research Letters. 19(12). 123003–123003. 2 indexed citations
2.
Carcedo, Ana Julia Paula, et al.. (2023). Data integration dashboard for assessing and planning sustainable intensification agricultural interventions: a case study in Senegal. Frontiers in Sustainable Food Systems. 7. 1 indexed citations
3.
Brown, Molly E., et al.. (2023). Weather or not? The role of international sanctions and climate on food prices in Iran. Frontiers in Sustainable Food Systems. 6. 5 indexed citations
4.
Grace, Kathryn, et al.. (2023). Considering soil moisture in models of climate impacts on child health in farming-centric countries. Population and Environment. 45(3). 1 indexed citations
5.
Carroll, Mark, et al.. (2022). Estimating crop type and yield of small holder fields in Burkina Faso using multi-day Sentinel-2. Remote Sensing Applications Society and Environment. 27. 100820–100820. 14 indexed citations
6.
Brown, Molly E., et al.. (2022). Scientist-stakeholder relationships drive carbon data product transfer effectiveness within NASA program. Environmental Research Letters. 17(9). 95004–95004. 3 indexed citations
8.
Enenkel, Markus, Molly E. Brown, J. Vogt, et al.. (2020). Why predict climate hazards if we need to understand impacts? Putting humans back into the drought equation. Climatic Change. 162(3). 1161–1176. 30 indexed citations
9.
Kim, Dongchul, Mian Chin, Huisheng Bian, et al.. (2013). The effect of the dynamic surface bareness on dust source function, emission, and distribution. Journal of Geophysical Research Atmospheres. n/a–n/a. 9 indexed citations
10.
Kim, Dongchul, Mian Chin, Huisheng Bian, et al.. (2012). The effect of the dynamic surface bareness on dust source function, emission, and distribution. Journal of Geophysical Research Atmospheres. 118(2). 871–886. 84 indexed citations
11.
Fabrycky, Daniel C., Matt Holman, Darin Ragozzine, et al.. (2008). Mutual Events of 2003 EL61 and its Inner Satellite. 40. 1 indexed citations
12.
Schaller, E. L., Molly E. Brown, & H. G. Roe. (2007). Titan's Methane Hydrological Cycle: Detection of Seasonal Change. epsc. 627. 1 indexed citations
13.
Brown, Molly E., et al.. (2007). Satellites of 2003 AZ_84, (50000), (55637), and (90482). International Astronomical Union Circular. 8812. 1. 3 indexed citations
14.
Pedelty, J. A., Sadashiva Devadiga, Edward J. Masuoka, et al.. (2007). Generating a long-term land data record from the AVHRR and MODIS Instruments. 1021–1025. 159 indexed citations
15.
Marchis, Franck, Pascal Descamps, Daniel Hestroffer, et al.. (2005). Satellites of (87) Sylvia. International Astronomical Union Circular. 8582. 1. 3 indexed citations
16.
Brown, Molly E., et al.. (2004). New vegetation index data set available to monitor global change. Eos. 85(52). 565–569. 28 indexed citations
17.
Brown, Molly E., et al.. (2004). A Sedna update: source, size, spectrum, surface, spin, satellite. 1 indexed citations
18.
Bouchez, Antonin, Molly E. Brown, E. L. Schaller, & H. G. Roe. (2004). Cloud frequency and wind speed in Titan's troposphere. DPS. 2 indexed citations
19.
Bouchez, Antonin, Molly E. Brown, Mitchell Troy, et al.. (2003). Titan's Stratospheric Zonal Winds. DPS. 3 indexed citations
20.
Margot, Jean‐Luc, Chadwick A. Trujillo, Molly E. Brown, & F. Bertoldi. (2002). The size and albedo of KBO 2002 AW197. 34. 6 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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