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.
A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests
20095.7k citationsSteven W. Running et al.profile →
Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999
20032.9k citationsRamakrishna Nemani, Steven W. Running et al.Scienceprofile →
Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009
20102.2k citationsMaosheng Zhao, Steven W. RunningScienceprofile →
Improvements to a MODIS global terrestrial evapotranspiration algorithm
20112.1k citationsMaosheng Zhao, Steven W. Running et al.profile →
A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production
20041.8k citationsSteven W. Running, Ramakrishna Nemani et al.profile →
Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data
20021.6k citationsRamakrishna Nemani, Steven W. Running et al.profile →
Development of a global evapotranspiration algorithm based on MODIS and global meteorology data
20071.4k citationsFaith Ann Heinsch, Maosheng Zhao et al.profile →
Improvements of the MODIS terrestrial gross and net primary production global data set
20051.3k citationsMaosheng Zhao, Faith Ann Heinsch et al.profile →
Generating surfaces of daily meteorological variables over large regions of complex terrain
19971.2k citationsSteven W. Running et al.profile →
A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes
19881.2k citationsSteven W. Running et al.profile →
Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle
20141.1k citationsBenjamin Poulter, Philippe Ciais et al.profile →
A continental phenology model for monitoring vegetation responses to interannual climatic variability
19971.0k citationsSteven W. Running et al.profile →
Estimation of global leaf area index and absorbed par using radiative transfer models
1997823 citationsRamakrishna Nemani, Steven W. Running et al.profile →
WATER IN A CHANGING WORLD
2001810 citationsSteven W. Running et al.profile →
Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data
1998773 citationsSteven W. Running et al.profile →
Impacts of climate change on natural forest productivity – evidence since the middle of the 20th century
2006716 citationsCéline Boisvenue, Steven W. Runningprofile →
Parameterization and Sensitivity Analysis of the BIOME–BGC Terrestrial Ecosystem Model: Net Primary Production Controls
2000687 citationsSteven W. Running, Ramakrishna Nemani et al.profile →
Regional evaporation estimates from flux tower and MODIS satellite data
2006638 citationsSteven W. Running et al.profile →
An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation
1999637 citationsSteven W. Running et al.profile →
The influence of land-use change and landscape dynamics on the climate system: relevance to climate-change policy beyond the radiative effect of greenhouse gases
2002622 citationsSteven W. Running et al.profile →
A continuous satellite‐derived global record of land surface evapotranspiration from 1983 to 2006
2010498 citationsKe Zhang, John S. Kimball et al.Water Resources Researchprofile →
Extrapolation of synoptic meteorological data in mountainous terrain and its use for simulating forest evapotranspiration and photosynthesis
1987482 citationsSteven W. Running, Ramakrishna Nemani et al.profile →
A review of remote sensing based actual evapotranspiration estimation
2016463 citationsKe Zhang, John S. Kimball et al.profile →
A unified vegetation index for quantifying the terrestrial biosphere
2021450 citationsGustau Camps‐Valls, Manuel Campos‐Taberner et al.Science Advancesprofile →
Vegetation Greening and Climate Change Promote Multidecadal Rises of Global Land Evapotranspiration
2015359 citationsKe Zhang, John S. Kimball et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
hero ref
Countries citing papers authored by Steven W. Running
Since
Specialization
Citations
This map shows the geographic impact of Steven W. Running'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 Steven W. Running with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven W. Running more than expected).
Fields of papers citing papers by Steven W. Running
This network shows the impact of papers produced by Steven W. Running. 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 Steven W. Running. The network helps show where Steven W. Running may publish in the future.
Co-authorship network of co-authors of Steven W. Running
This figure shows the co-authorship network connecting the top 25 collaborators of Steven W. Running.
A scholar is included among the top collaborators of Steven W. Running 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 Steven W. Running. Steven W. Running is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Camps‐Valls, Gustau, Manuel Campos‐Taberner, Álvaro Moreno‐Martínez, et al.. (2021). A unified vegetation index for quantifying the terrestrial biosphere. Science Advances. 7(9).450 indexed citations breakdown →
Zhang, Ke, John S. Kimball, Ramakrishna Nemani, & Steven W. Running. (2010). A continuous satellite‐derived global record of land surface evapotranspiration from 1983 to 2006. Water Resources Research. 46(9).498 indexed citations breakdown →
11.
Zhao, Maosheng & Steven W. Running. (2010). Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009. Science. 329(5994). 940–943.2156 indexed citations breakdown →
12.
Boisvenue, Céline, et al.. (2009). Assessing forest productivity: satellite versus terrestrial data-driven estimates in Austria.. 211–216.1 indexed citations
13.
Heinsch, Faith Ann, John S. Kimball, Steven W. Running, et al.. (2005). Satellite Remote Sensing of Pan-arctic Vegetation Productivity, Soil Respiration and net CO2 Exchange Using MODIS and AMSR-E Data. AGUSM. 2005.1 indexed citations
14.
Reichstein, Markus, Dennis Baldocchi, Steven W. Running, et al.. (2002). Validation Effort of MODIS LAI/GPP/NPP Products at FLUXNET Sites. AGUFM. 2002.1 indexed citations
15.
Running, Steven W., et al.. (2001). Mapping Weekly Rangeland Vegetation Productivity Using MODIS Algorithms. The Mathematics Enthusiast. 54.57 indexed citations
Moody, Alison, Éric F. Lambin, Alfredo Huete, et al.. (1994). MODIS Land Cover Product: Algorithm Theoretical Basis Document. UCL Discovery (University College London).34 indexed citations
18.
Pierce, Lars L., Steven W. Running, & George A. Riggs. (1990). Remote detection of canopy water stress in coniferous forests using the NS001 Thematic Mapper Simulator and the Thermal Infrared Multispectral Scanner.. Photogrammetric Engineering & Remote Sensing. 56(5). 579–586.46 indexed citations
Peterson, David L., David A. Mouat, & Steven W. Running. (1983). Characterization of terrestrial ecosystems for biogeochemical studies using remote sensing.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.