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.
Global climate change and terrestrial net primary production
19931.5k citationsJerry M. Melillo, David W. Kicklighter et al.profile →
The Global Carbon Cycle: A Test of Our Knowledge of Earth as a System
Comparing global models of terrestrial net primary productivity (NPP): overview and key results
1999860 citationsDavid W. Kicklighter, Berrien Moore et al.Global Change Biologyprofile →
Mapping paddy rice agriculture in southern China using multi-temporal MODIS images
2005847 citationsXiangming Xiao, Steve Frolking et al.Remote Sensing of Environmentprofile →
Satellite-based modeling of gross primary production in an evergreen needleleaf forest
2003727 citationsXiangming Xiao, Berrien Moore et al.Remote Sensing of Environmentprofile →
Potential Net Primary Productivity in South America: Application of a Global Model
1991694 citationsJerry M. Melillo, David W. Kicklighter et al.profile →
Changes in the Carbon Content of Terrestrial Biota and Soils between 1860 and 1980: A Net Release of CO"2 to the Atmosphere
1983668 citationsR. A. Houghton, Jerry M. Melillo et al.profile →
Carbon balance of the terrestrial biosphere in the Twentieth Century: Analyses of CO2, climate and land use effects with four process‐based ecosystem models
2001632 citationsA. D. McGuire, Stephen Sitch et al.Global Biogeochemical Cyclesprofile →
Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images
2005626 citationsXiangming Xiao, Steve Frolking et al.Remote Sensing of Environmentprofile →
Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine
2016616 citationsJinwei Dong, Xiangming Xiao et al.Remote Sensing of Environmentprofile →
Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon
2021222 citationsYuanwei Qin, Xiangming Xiao et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Berrien Moore'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 Berrien Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berrien Moore more than expected).
This network shows the impact of papers produced by Berrien Moore. 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 Berrien Moore. The network helps show where Berrien Moore may publish in the future.
Co-authorship network of co-authors of Berrien Moore
This figure shows the co-authorship network connecting the top 25 collaborators of Berrien Moore.
A scholar is included among the top collaborators of Berrien Moore 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 Berrien Moore. Berrien Moore is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dong, Jinwei, Xiangming Xiao, Michael A. Menarguez, et al.. (2016). Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine. Remote Sensing of Environment. 185. 142–154.616 indexed citations breakdown →
9.
Tarhule, Aondover, et al.. (2016). Potential Water Availability Index (PWAI): A New Water Vulnerability Index for Africa Based on GRACE Data. AGUFM. 2016.3 indexed citations
Gobron, Nadine, Berrien Moore, Masakatsu Nakajima, et al.. (2014). CEOS Strategy for Carbon Observations from Space. cosp. 40.9 indexed citations
12.
Moore, Berrien. (2013). Active Sensing of CO2 Emissions over Nights, Days, and Seasons.3 indexed citations
13.
Browell, E. V., J. T. Dobler, S. A. Kooi, et al.. (2010). Airborne Validation of Laser Remote Measurements of Atmospheric Carbon Dioxide. EGU General Assembly Conference Abstracts. 3721.10 indexed citations
14.
Dobbs, Michael E., et al.. (2007). Active Sensing of CO2 Emissions over Nights, Days, and Seasons (ASCENDS). AGUFM. 2007.2 indexed citations
Hurtt, G. C., et al.. (2006). Research &Discover: A Pipeline of the Next Generation of Earth System Scientists. AGU Fall Meeting Abstracts. 2006.1 indexed citations
McGuire, A. D., Stephen Sitch, J. S. Clein, et al.. (2001). The effects of CO2, climate and land-use on terrestrial carbon balance, 1920-1992: An analysis with four process-based ecosystem models. Global Biogeochemical Cycles.6 indexed citations
19.
Moore, Berrien & B. H. Braswell. (1994). Planetary metabolism: Understanding the carbon cycle. AMBIO.12 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.