D. L. Blodgett

1.1k total citations · 1 hit paper
17 papers, 621 citations indexed

About

D. L. Blodgett is a scholar working on Water Science and Technology, Geology and Global and Planetary Change. According to data from OpenAlex, D. L. Blodgett has authored 17 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Water Science and Technology, 8 papers in Geology and 6 papers in Global and Planetary Change. Recurrent topics in D. L. Blodgett's work include Hydrology and Watershed Management Studies (11 papers), Environmental Monitoring and Data Management (8 papers) and Flood Risk Assessment and Management (4 papers). D. L. Blodgett is often cited by papers focused on Hydrology and Watershed Management Studies (11 papers), Environmental Monitoring and Data Management (8 papers) and Flood Risk Assessment and Management (4 papers). D. L. Blodgett collaborates with scholars based in United States, Canada and Ireland. D. L. Blodgett's co-authors include Roland J. Viger, Andrew R. Bock, K. M. Sampson, Martyn Clark, J. R. Arnold, L. D. Brekke, T. M. Hopson, Qingyun Duan, Andrew W. Wood and Andrew J. Newman and has published in prestigious journals such as Hydrology and earth system sciences, Environmental Modelling & Software and Ecography.

In The Last Decade

D. L. Blodgett

16 papers receiving 579 citations

Hit Papers

Development of a large-sample watershed-scale hydrometeor... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. L. Blodgett United States 11 497 399 252 119 47 17 621
Sven Kralisch Germany 15 399 0.8× 308 0.8× 154 0.6× 159 1.3× 41 0.9× 47 611
Jacob H. LaFontaine United States 11 528 1.1× 302 0.8× 180 0.7× 149 1.3× 66 1.4× 19 616
Remko C. Nijzink Netherlands 8 439 0.9× 361 0.9× 188 0.7× 103 0.9× 38 0.8× 18 556
Andrew R. Bock United States 8 632 1.3× 524 1.3× 284 1.1× 173 1.5× 26 0.6× 15 700
Kazi Rahman Switzerland 11 362 0.7× 273 0.7× 89 0.4× 155 1.3× 26 0.6× 13 475
Olivier Delaigue France 9 346 0.7× 261 0.7× 160 0.6× 64 0.5× 21 0.4× 23 507
G Podger Australia 9 378 0.8× 256 0.6× 108 0.4× 28 0.2× 37 0.8× 17 500
Keirnan Fowler Australia 16 937 1.9× 772 1.9× 334 1.3× 145 1.2× 33 0.7× 46 1.1k
Cristina Prieto Spain 10 656 1.3× 550 1.4× 494 2.0× 108 0.9× 19 0.4× 23 819
Nathan Young United States 7 217 0.4× 240 0.6× 75 0.3× 90 0.8× 15 0.3× 15 358

Countries citing papers authored by D. L. Blodgett

Since Specialization
Citations

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

Fields of papers citing papers by D. L. Blodgett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. L. Blodgett. 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 D. L. Blodgett. The network helps show where D. L. Blodgett may publish in the future.

Co-authorship network of co-authors of D. L. Blodgett

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

All Works

17 of 17 papers shown
1.
Johnson, J. Michael, D. L. Blodgett, Keith Clarke, & Jonathan Pollak. (2023). Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations. Scientific Data. 10(1). 725–725. 15 indexed citations
2.
Blodgett, D. L., et al.. (2023). Generating a reference flow network with improved connectivity to support durable data integration and reproducibility in the coterminous US. Environmental Modelling & Software. 165. 105726–105726. 5 indexed citations
3.
Blodgett, D. L., et al.. (2020). Mainstems: A logical data model implementing mainstem and drainage basin feature types based on WaterML2 Part 3: HY Features concepts. Environmental Modelling & Software. 135. 104927–104927. 10 indexed citations
4.
Johnson, Donald W., et al.. (2019). Next Generation National Water Model Architecture: Organizing principles to support evolving capabilities.. 2019. 2 indexed citations
5.
Barber, Nancy L., Paul M. Barlow, D. L. Blodgett, et al.. (2018). Continuing progress toward a national assessment of water availability and use. U.S. Geological Survey circular. 14 indexed citations
6.
Nelson, Jake R., Daniel P. Ames, & D. L. Blodgett. (2017). Open Hydrology Courseware Using the United States Geological Survey’s National Water Census Data Portal. ScholarsArchive (Brigham Young University). 5(1). 1–14. 1 indexed citations
7.
Michelsen, Ari M., et al.. (2016). The USGS Water Availability and Use Science Program: Needs, Establishment, and Goals of a Water Census. JAWRA Journal of the American Water Resources Association. 52(4). 836–844. 12 indexed citations
8.
Blodgett, D. L., et al.. (2016). An Analysis of Water Data Systems to Inform the Open Water Data Initiative. JAWRA Journal of the American Water Resources Association. 52(4). 845–858. 16 indexed citations
9.
Newman, Andrew J., Martyn Clark, K. M. Sampson, et al.. (2015). Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance. Hydrology and earth system sciences. 19(1). 209–223. 417 indexed citations breakdown →
10.
Blodgett, D. L., et al.. (2015). Progress on water data integration and distribution: a summary of select US Geological Survey data systems. Journal of Hydroinformatics. 18(2). 226–237. 11 indexed citations
11.
Read, Jordan S., et al.. (2015). geoknife: reproducible web‐processing of large gridded datasets. Ecography. 39(4). 354–360. 31 indexed citations
12.
Wootten, Adrienne, Ryan Boyles, Adam Terando, et al.. (2014). Downscaled climate projections for the Southeast United States: evaluation and use for ecological applications. Antarctica A Keystone in a Changing World. 8 indexed citations
13.
Blodgett, D. L., et al.. (2013). Tools for Interdisciplinary Data Assimilation and Sharing in Support of Hydrologic Science. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
15.
Blodgett, D. L., et al.. (2012). Description of the U.S. Geological Survey Geo Data Portal Data Integration Framework. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5(6). 1687–1691. 15 indexed citations
16.
Blodgett, D. L., et al.. (2011). Description and testing of the Geo Data Portal: Data integration framework and Web processing services for environmental science collaboration. Antarctica A Keystone in a Changing World. 49 indexed citations
17.
Blodgett, D. L. & John A. Hoopes. (2010). Impacts of Radar Indicated Rainfall on Distributed Rainfall-Runoff Modeling. 9. 1260–1269. 2 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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