Daniel T. Feinstein

721 citations
36 papers · 580 · h-index 13

Impact in

Papers in

Daniel T. Feinstein

34 papers receiving 507 citations

Peers

Daniel T. Feinstein
Comparison fields: 5 of 65
  • Geochemistry and Petrology 199
  • Environmental Engineering 440
  • Water Science and Technology 293
  • Environmental Chemistry 55
  • Ocean Engineering 76
Replace J. Jeffrey Starn with:
J. Jeffrey Starn United States
Eric D. Morway United States
Gyoo-Bum Kim South Korea
Alper Elçi Türkiye
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Hyoun‐Tae Hwang Canada
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Citations per field
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Citations per year

Countries citing papers authored by Daniel T. Feinstein

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Feinstein'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 T. Feinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Feinstein more than expected).

Fields of papers citing papers by Daniel T. Feinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel T. Feinstein, 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 T. Feinstein Line = papers co-authored together Daniel T. Feinstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200567
2 200365
3 201554
4 200553
5 201052
6 201841
7 200432
8 201231
9 201525
10 201621
11 201914
12 202013
13 201212
14 200411
15 201010
16 20039
17 20049
18 20179
19
The 2016 groundwater flow model for Dane County, Wisconsin
20167
20 20126

About Daniel T. Feinstein

Daniel T. Feinstein is a scholar working on Environmental Engineering, Water Science and Technology, Geochemistry and Petrology, Ocean Engineering and Mechanical Engineering, having authored 36 papers that have together received 580 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (34 papers), Hydrology and Watershed Management Studies (22 papers), Groundwater and Isotope Geochemistry (12 papers), Water Quality and Resources Studies (6 papers), Hydraulic Fracturing and Reservoir Analysis (5 papers), Reservoir Engineering and Simulation Methods (4 papers), Cryospheric studies and observations (3 papers) and Hydrological Forecasting Using AI (2 papers). The work is most often cited by research in Geochemistry and Petrology (199 citations), Environmental Engineering (440 citations), Water Science and Technology (293 citations), Environmental Chemistry (55 citations) and Ocean Engineering (76 citations). Daniel T. Feinstein has collaborated with scholars based in United States, Germany and Sri Lanka. Frequent co-authors include Randall J. Hunt, Michael N. Fienen, Bernard T. Nolan, David J. Hart, Kenneth R. Bradbury, Howard W. Reeves, Henk M. Haitjema, Mary P. Anderson, Leon J. Kauffman and Madeline E. Schreiber. Their work appears in journals such as Ground Water, Environmental Modelling & Software, Water, Integrative and Comparative Biology and Water Resources Research.

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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