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.
Continental‐scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS‐2): 1. Intercomparison and application of model products
20111.0k citationsYoulong Xia, Kenneth E. Mitchell et al.Journal of Geophysical Research Atmospheresprofile →
Continental‐scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS‐2): 2. Validation of model‐simulated streamflow
2011374 citationsYoulong Xia, Kenneth E. Mitchell et al.Journal of Geophysical Research Atmospheresprofile →
Citations per year, relative to Charles Alonge Charles Alonge (= 1×)
peers
Mohammad Reza Najafi
Countries citing papers authored by Charles Alonge
Since
Specialization
Citations
This map shows the geographic impact of Charles Alonge'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 Charles Alonge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Alonge more than expected).
This network shows the impact of papers produced by Charles Alonge. 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 Charles Alonge. The network helps show where Charles Alonge may publish in the future.
Co-authorship network of co-authors of Charles Alonge
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Alonge.
A scholar is included among the top collaborators of Charles Alonge 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 Charles Alonge. Charles Alonge is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
9 of 9 papers shown
1.
Xia, Youlong, Kenneth E. Mitchell, Michael Ek, et al.. (2011). Continental‐scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS‐2): 2. Validation of model‐simulated streamflow. Journal of Geophysical Research Atmospheres. 117(D3).374 indexed citations breakdown →
2.
Xia, Youlong, Kenneth E. Mitchell, Michael Ek, et al.. (2011). Continental‐scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS‐2): 1. Intercomparison and application of model products. Journal of Geophysical Research Atmospheres. 117(D3).1030 indexed citations breakdown →
3.
Lew, D., Charles Alonge, Michael C. Brower, et al.. (2011). Wind data inputs for regional wind integration studies. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–8.8 indexed citations
4.
Alonge, Charles. (2010). Sensitivity of Wind Power Production to Changes in Surface Roughness: Impacts on Wind Turbine Siting and Energy Production.1 indexed citations
Alonge, Charles & B. Cosgrove. (2008). Application of NARR-based NLDAS Ensemble Simulations to Continental-Scale Drought Monitoring. AGU Spring Meeting Abstracts. 2008.4 indexed citations
Alonge, Charles, et al.. (2002). An updated look at some severe weather forecast parameters.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.