B. Cosgrove

12.0k total citations · 4 hit papers
48 papers, 8.0k citations indexed

About

B. Cosgrove is a scholar working on Atmospheric Science, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, B. Cosgrove has authored 48 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atmospheric Science, 26 papers in Water Science and Technology and 25 papers in Global and Planetary Change. Recurrent topics in B. Cosgrove's work include Hydrology and Watershed Management Studies (24 papers), Soil Moisture and Remote Sensing (14 papers) and Climate variability and models (13 papers). B. Cosgrove is often cited by papers focused on Hydrology and Watershed Management Studies (24 papers), Soil Moisture and Remote Sensing (14 papers) and Climate variability and models (13 papers). B. Cosgrove collaborates with scholars based in United States, Australia and China. B. Cosgrove's co-authors include Dag Lohmann, Paul R. Houser, D. L. Toll, Kristi R. Arsenault, Matthew Rodell, Kenneth Mitchell, J. Radakovich, Jared Entin, Jeffrey P. Walker and Jon Gottschalck and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Water Resources Research and Journal of Hydrology.

In The Last Decade

B. Cosgrove

47 papers receiving 7.8k citations

Hit Papers

The Global Land Data Assimilation System 2003 2026 2010 2018 2004 2011 2003 2011 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Cosgrove United States 21 4.5k 3.5k 2.7k 2.2k 1.6k 48 8.0k
Dag Lohmann United States 21 5.3k 1.2× 3.8k 1.1× 3.5k 1.3× 2.1k 0.9× 1.6k 1.0× 30 8.8k
Kristi R. Arsenault United States 27 3.7k 0.8× 3.1k 0.9× 1.9k 0.7× 1.7k 0.8× 1.8k 1.1× 56 6.9k
Jared Entin United States 15 3.0k 0.7× 2.9k 0.8× 1.4k 0.5× 2.4k 1.1× 1.5k 0.9× 31 6.2k
Pedro Viterbo United Kingdom 46 6.7k 1.5× 5.7k 1.6× 2.2k 0.8× 2.1k 0.9× 1.2k 0.8× 85 9.4k
Jon Gottschalck United States 20 3.6k 0.8× 2.9k 0.8× 1.1k 0.4× 1.2k 0.5× 1.9k 1.2× 36 6.2k
D. L. Toll United States 20 2.8k 0.6× 2.2k 0.6× 1.3k 0.5× 1.4k 0.7× 1.5k 0.9× 49 5.5k
Guo‐Yue Niu United States 41 6.8k 1.5× 5.6k 1.6× 4.0k 1.5× 2.6k 1.2× 1.1k 0.7× 110 10.6k
Frédéric Frappart France 48 3.7k 0.8× 1.9k 0.5× 2.3k 0.9× 2.3k 1.0× 2.6k 1.6× 242 7.4k
M. G. Bosilovich United States 7 2.5k 0.6× 2.0k 0.6× 1.0k 0.4× 1.2k 0.5× 1.5k 0.9× 10 4.7k
U. Jambor United States 3 2.2k 0.5× 1.8k 0.5× 1.0k 0.4× 1.2k 0.5× 1.5k 0.9× 5 4.4k

Countries citing papers authored by B. Cosgrove

Since Specialization
Citations

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

Fields of papers citing papers by B. Cosgrove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Cosgrove

This figure shows the co-authorship network connecting the top 25 collaborators of B. Cosgrove. A scholar is included among the top collaborators of B. Cosgrove 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 B. Cosgrove. B. Cosgrove 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.
Hughes, Mimi, Darren L. Jackson, D. M. Unruh, et al.. (2024). Evaluation of Retrospective National Water Model Soil Moisture and Streamflow for Drought‐Monitoring Applications. Journal of Geophysical Research Atmospheres. 129(6). 10 indexed citations
2.
Feng, Xiangyu, A. Rafieeinasab, David Kitzmiller, et al.. (2019). Calibrating the National Water Model V2.1 over the Contiguous United States. AGU Fall Meeting Abstracts. 2019. 2 indexed citations
3.
Cosgrove, B., et al.. (2019). The Evolution of NOAA's National Water Model: An Overview of Version 2.1 and Future Operational Plans. AGUFM. 2019. 4 indexed citations
4.
Cosgrove, B., A. L. Dugger, K. M. Sampson, et al.. (2018). Multi-variate evaluation of the NOAA National Water Model. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
5.
Lahmers, Timothy M., P. Hazenberg, Hoshin V. Gupta, et al.. (2017). Enhancements to the WRF-Hydro Hydrologic Model Structure for Semi-arid Environments. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
6.
Dugger, A. L., A. Rafieeinasab, David Gochis, et al.. (2016). Evaluating CONUS-Scale Runoff Simulation across the National Water Model WRF-Hydro Implementation to Disentangle Regional Controls on Streamflow Generation and Model Error Contribution. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
7.
Rafieeinasab, A., et al.. (2016). Evaluation of streamflow forecast for the National Water Model of U.S. National Weather Service. AGUFM. 2016. 1 indexed citations
8.
Xia, Youlong, B. Cosgrove, Kenneth E. Mitchell, et al.. (2016). Basin‐scale assessment of the land surface water budget in the National Centers for Environmental Prediction operational and research NLDAS‐2 systems. Journal of Geophysical Research Atmospheres. 121(6). 2750–2779. 42 indexed citations
9.
Ek, M. B., Yu Xia, Wei Han, et al.. (2014). A Successful Example of Transitioning Research to NCEP Operations: The North American Land Data Assimilation System (NLDAS). AGU Fall Meeting Abstracts. 2014. 1 indexed citations
10.
Dong, Jiarui, M. B. Ek, Dorothy K. Hall, et al.. (2013). Using Air Temperature to Quantitatively Predict the MODIS Fractional Snow Cover Retrieval Errors over the Continental United States. Journal of Hydrometeorology. 15(2). 551–562. 15 indexed citations
11.
Lakhankar, Tarendra, et al.. (2013). Evaluation of Operational National Weather Service Gridded Flash Flood Guidance over the Arkansas Red River Basin. JAWRA Journal of the American Water Resources Association. 49(6). 1296–1307. 18 indexed citations
12.
13.
Zhang, Ziya, Victor Koren, Seann Reed, et al.. (2011). SAC-SMA a priori parameter differences and their impact on distributed hydrologic model simulations. Journal of Hydrology. 420-421. 216–227. 20 indexed citations
14.
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 →
15.
Koren, V., Michael Smith, Zhengtao Cui, et al.. (2010). Modification of Sacramento Soil Moisture Accounting Heat Transfer Component (SAC-HT) for enhanced evapotranspiration. 16 indexed citations
16.
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
17.
Lohmann, Dag, Kenneth E. Mitchell, Paul R. Houser, et al.. (2004). Streamflow and water balance intercomparisons of four land surface models in the North American Land Data Assimilation System project. Journal of Geophysical Research Atmospheres. 109(D7). 147 indexed citations
18.
Jambor, U., Paul R. Houser, Matthew Rodell, et al.. (2003). Remotely sensed forcing data and the Global Land Data Assimilation System. 3. 1405–1407. 1 indexed citations
19.
Pan, Ming, Justin Sheffield, Eric F. Wood, et al.. (2003). Snow process modeling in the North American Land Data Assimilation System (NLDAS): 2. Evaluation of model simulated snow water equivalent. Journal of Geophysical Research Atmospheres. 108(D22). 153 indexed citations
20.
Cosgrove, B.. (2002). A simple interactive vegetation model coupled to the GENESIS GCM. Global and Planetary Change. 32(2-3). 253–278. 19 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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