Natasha MacBean

5.0k total citations · 2 hit papers
50 papers, 2.5k citations indexed

About

Natasha MacBean is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Natasha MacBean has authored 50 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Global and Planetary Change, 20 papers in Ecology and 13 papers in Atmospheric Science. Recurrent topics in Natasha MacBean's work include Plant Water Relations and Carbon Dynamics (33 papers), Climate variability and models (23 papers) and Remote Sensing in Agriculture (18 papers). Natasha MacBean is often cited by papers focused on Plant Water Relations and Carbon Dynamics (33 papers), Climate variability and models (23 papers) and Remote Sensing in Agriculture (18 papers). Natasha MacBean collaborates with scholars based in United States, France and United Kingdom. Natasha MacBean's co-authors include Philippe Peylin, Sophie Bontemps, Philippe Ciais, Pierre Defourny, D. J. Moore, Cédric Bacour, A. M. Fox, Russell L. Scott, William K. Smith and Wei Li and has published in prestigious journals such as Nature, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Natasha MacBean

50 papers receiving 2.5k 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.

Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities

2019 274 citations William K. Smith, Matthew P. Dannenberg et al. profile →
Dryland productivity under a changing climate

2022 178 citations Natasha MacBean et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Natasha MacBean United States	26	1.9k	958	634	384	258	50	2.5k
Jian Bi China	16	2.3k 1.2×	1.2k 1.3×	807 1.3×	408 1.1×	383 1.5×	32	3.1k
Donghai Wu China	24	1.6k 0.8×	971 1.0×	627 1.0×	431 1.1×	345 1.3×	50	2.3k
Xuanlong Ma China	27	1.5k 0.8×	1.2k 1.3×	435 0.7×	434 1.1×	231 0.9×	70	2.2k
Tristan Quaife United Kingdom	28	1.7k 0.9×	1.3k 1.4×	538 0.8×	594 1.5×	305 1.2×	83	2.6k
Joseph Verfaillie United States	27	1.6k 0.8×	1.4k 1.4×	464 0.7×	386 1.0×	151 0.6×	47	2.5k
Ursula Geßner Germany	29	1.4k 0.8×	1.2k 1.3×	786 1.2×	616 1.6×	179 0.7×	65	2.7k
Torbern Tagesson Sweden	29	1.6k 0.9×	1.4k 1.5×	928 1.5×	689 1.8×	287 1.1×	96	2.8k
Jörg Kaduk United Kingdom	24	1.2k 0.6×	899 0.9×	493 0.8×	365 1.0×	200 0.8×	53	2.0k
Tao Zhou China	27	2.2k 1.2×	1.1k 1.2×	819 1.3×	398 1.0×	546 2.1×	77	3.0k

Countries citing papers authored by Natasha MacBean

Since Specialization

Citations

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

Fields of papers citing papers by Natasha MacBean

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natasha MacBean

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

All Works

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20 of 20 papers shown

Scott, Russell L., Miriam R. Johnston, John F. Knowles, et al.. (2023). Interannual variability of spring and summer monsoon growing season carbon exchange at a semiarid savanna over nearly two decades. Agricultural and Forest Meteorology. 339. 109584–109584. 12 indexed citations

Kumar, Sujay V., Jana Kolassa, Rolf H. Reichle, et al.. (2022). An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space. Journal of Advances in Modeling Earth Systems. 14(11). 30 indexed citations

Mahmud, Kashif, Russell L. Scott, Joel A. Biederman, et al.. (2021). Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO₂ Flux and its Inter‐Annual Variability. Journal of Geophysical Research Biogeosciences. 126(10). 8 indexed citations

Barnes, Mallory L., Martha M. Farella, Russell L. Scott, et al.. (2021). Improved dryland carbon flux predictions with explicit consideration of water-carbon coupling. Communications Earth & Environment. 2(1). 28 indexed citations

Parazoo, Nicholas C., Troy S. Magney, Alexander Norton, et al.. (2020). Wide Discrepancies in the Magnitude and Direction of Modelled SIF in Response to Light Conditions. 5 indexed citations

Parazoo, Nicholas C., Troy S. Magney, Alexander Norton, et al.. (2020). Wide discrepancies in the magnitude and direction of modeled solar-induced chlorophyll fluorescence in response to light conditions. Biogeosciences. 17(13). 3733–3755. 34 indexed citations

Bacour, Cédric, Fabienne Maignan, Natasha MacBean, et al.. (2019). Improving Estimates of Gross Primary Productivity by Assimilating Solar‐Induced Fluorescence Satellite Retrievals in a Terrestrial Biosphere Model Using a Process‐Based SIF Model. Journal of Geophysical Research Biogeosciences. 124(11). 3281–3306. 60 indexed citations

MacBean, Natasha, Russell L. Scott, Joel A. Biederman, et al.. (2019). Multi-variable, multi-configuration testing of ORCHIDEE land surface model water flux and storage estimates across semi-arid sites in the southwestern US. 2 indexed citations

Smith, William K., Joel A. Biederman, Russell L. Scott, et al.. (2018). Chlorophyll Fluorescence Better Captures Seasonal and Interannual Gross Primary Productivity Dynamics Across Dryland Ecosystems of Southwestern North America. Geophysical Research Letters. 45(2). 748–757. 121 indexed citations

10.

Li, Wei, Natasha MacBean, Philippe Ciais, et al.. (2018). Gross and net land cover changes in the main plant functional types derived from the annual ESA CCI land cover maps (1992–2015). Earth system science data. 10(1). 219–234. 222 indexed citations

11.

MacBean, Natasha, Fabienne Maignan, Cédric Bacour, et al.. (2018). Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data. Scientific Reports. 8(1). 1973–1973. 93 indexed citations

12.

Li, Wei, Natasha MacBean, Philippe Ciais, et al.. (2017). Gross and net land cover changes based on plant functional types derived from the annual ESA CCI land cover maps. 15 indexed citations

13.

Smith, William K., Joel A. Biederman, Russell L. Scott, et al.. (2017). Evidence of a robust relationship between solar-induced chlorophyll fluorescence and gross primary productivity across dryland ecosystems of southwestern North America. AGU Fall Meeting Abstracts. 2017. 2 indexed citations

14.

Walker, Anthony P., Tristan Quaife, Peter M. van Bodegom, et al.. (2017). The impact of alternative trait‐scaling hypotheses for the maximum photosynthetic carboxylation rate (V_cmax) on global gross primary production. New Phytologist. 215(4). 1370–1386. 99 indexed citations

15.

Montané, Francesc, A. M. Fox, Avelino F. Arellano, et al.. (2017). Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools, and turnover in temperate forests. Geoscientific model development. 10(9). 3499–3517. 31 indexed citations

16.

MacBean, Natasha, Fabienne Maignan, Paul Lewis, et al.. (2015). A Model-Data Fusion Approach for Constraining Modeled GPP at Global Scales Using GOME2 SIF Data. 2015 AGU Fall Meeting. 2015. 1 indexed citations

17.

MacBean, Natasha, Fabienne Maignan, Philippe Peylin, et al.. (2015). Using satellite data to improve the leaf phenology of a global terrestrial biosphere model. Biogeosciences. 12(23). 7185–7208. 68 indexed citations

18.

Wang, Xuhui, Shilong Piao, Xiangtao Xu, et al.. (2015). Has the advancing onset of spring vegetation green‐up slowed down or changed abruptly over the last three decades?. Global Ecology and Biogeography. 24(6). 621–631. 120 indexed citations

19.

MacBean, Natasha, Sébastien Léonard, Fabienne Maignan, et al.. (2014). How best to optimize a global process-based carbon land surface model ?. EGU General Assembly Conference Abstracts. 10302. 1 indexed citations

20.

Peylin, Philippe, Natasha MacBean, Cédric Bacour, et al.. (2013). Optimization of the process-based global model, ORCHIDEE, using multiple data streams (in-situ FluxNet NEE, LE and biomass, satellite NDVI, and atmospheric CO2 data). EGUGA. 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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