G. N. Day

750 citations
13 papers · 553 indexed · h-index 5
Topics
Hydrology and Watershed Management Studies (10 papers)Cryospheric studies and observations (5 papers)Flood Risk Assessment and Management (3 papers)

In The Last Decade

G. N. Day

12 papers receiving 496 citations

Peers

G. N. Day
Comparison fields: 5 of 44
  • Water Science and Technology 436
  • Global and Planetary Change 410
  • Atmospheric Science 204
  • Environmental Engineering 148
  • Ocean Engineering 77
Replace Julie Demargne with:
Julie Demargne United States
Jan Verkade Netherlands
Deepashree Raje India
S. Vandenberghe Belgium
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PE Weinmann Australia
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G. N. Day relative to Julie Demargne United States Julie Demargne's profile →
Citations per field
00.5×1.7×
Julie Demargne · 1×
Citations per year

Countries citing papers authored by G. N. Day

Since Specialization
Citations

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

Fields of papers citing papers by G. N. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. N. Day. 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 G. N. Day. The network helps show where G. N. Day may publish in the future.

Co-authorship network of co-authors of G. N. Day

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 14
2
Using snow data assimilation to improve ensemble streamflow forecasting for the Upper Colorado River Basin
1
3 4
4 1
5 25
6 41
7
Snow Estimation—A GIS Application for Water Resources Forecasting
3
8 60
9 2
10 399
11 1
12 2
13
A Hydrologic Model: The Key to Storm Water Management
0

About G. N. Day

G. N. Day is a scholar working on Water Science and Technology, Atmospheric Science and Ocean Engineering, having authored 13 papers that have together received 553 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (10 papers), Cryospheric studies and observations (5 papers) and Flood Risk Assessment and Management (3 papers). The work is most often cited by research in Water Science and Technology (436 citations), Global and Planetary Change (410 citations) and Atmospheric Science (204 citations). G. N. Day has collaborated with scholars based in United States, Panama and Israel. Frequent co-authors include James A. Smith, Thomas R. Carroll, Noel Cressie, Lauren Wenzel, Judith Smith, D. L. Fread, George F. Smith, Stephen M. Wiele, Karl Rittger and Jeff Dozier. Their work appears in journals such as Water Science & Technology, Eos and JAWRA Journal of the American Water Resources Association.

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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