Daniel P. Sheer

452 citations
24 papers · 345 · h-index 8

Impact in

Papers in

    • Water resources management and optimization 16
    • Reservoir Engineering and Simulation Methods 3
    • Hydrology and Watershed Management Studies 6
    • Water-Energy-Food Nexus Studies 3
    • Water Quality and Resources Studies 2

Daniel P. Sheer

22 papers receiving 306 citations

Peers

Daniel P. Sheer
Comparison fields: 5 of 69
  • Water Science and Technology 167
  • Ocean Engineering 168
  • Global and Planetary Change 109
  • Civil and Structural Engineering 66
  • Management Science and Operations Research 30
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Citations per field
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Citations per year

Countries citing papers authored by Daniel P. Sheer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Sheer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Sheer. 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 Daniel P. Sheer. The network helps show where Daniel P. Sheer may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel P. Sheer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel P. Sheer Line = papers co-authored together Daniel P. Sheer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197994
2 199160
3 199760
4 201622
5 200921
6 198915
7 201314
8 198011
9 20207
10 20136
11 19925
12 20135
13 20095
14 19994
15
The National Study of Water Management during Drought: A Research Assessment
19913
16 19843
17 19772
18
Acidity control in the North Branch Potomac
20162
19
Computer-Aided Drought Operations
19851
20 19801

About Daniel P. Sheer

Daniel P. Sheer is a scholar working on Ocean Engineering, Water Science and Technology, Civil and Structural Engineering, Global and Planetary Change and Environmental Engineering, having authored 24 papers that have together received 345 indexed citations. Recurring topics across this work include Water resources management and optimization (16 papers), Hydrology and Watershed Management Studies (6 papers), Hydrology and Drought Analysis (3 papers), Reservoir Engineering and Simulation Methods (3 papers), Water-Energy-Food Nexus Studies (3 papers), Water Systems and Optimization (3 papers), Flood Risk Assessment and Management (2 papers) and Water Quality and Resources Studies (2 papers). The work is most often cited by research in Water Science and Technology (167 citations), Ocean Engineering (168 citations), Global and Planetary Change (109 citations), Civil and Structural Engineering (66 citations) and Management Science and Operations Research (30 citations). Daniel P. Sheer has collaborated with scholars based in United States and Canada. Frequent co-authors include Jared L. Cohon, Richard L. Church, Dennis P. Lettenmaier, Jeff R. Wright, Mary Lynn Baeck, Ryan J. MacDonald, David Sauchyn, Elaine Barrow, David E. Hill and Mark H. Houck. Their work appears in journals such as Journal of Water Resources Planning and Management, American Water Works Association, JAWRA Journal of the American Water Resources Association, Water Resources Research and Quaternary International.

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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