Daniel T. Feinstein

727 citations
36 papers · 614 · h-index 13

Impact in

Papers in

Daniel T. Feinstein

34 papers receiving 541 citations

Peers

Daniel T. Feinstein
Comparison fields: 5 of 65
  • Geochemistry and Petrology 210
  • Environmental Engineering 469
  • Water Science and Technology 310
  • Environmental Chemistry 54
  • Ocean Engineering 81
Replace J. Jeffrey Starn with:
J. Jeffrey Starn United States
Eric D. Morway United States
Alper Elçi Türkiye
Willem Jan Zaadnoordijk Netherlands
Rebecca Doble Australia
Xueyan Ye China
M. Bayer-Raich Germany
Hyoun‐Tae Hwang Canada
Ankur Dixit India
Alexandre Boisson France
Daniel T. Feinstein relative to J. Jeffrey Starn United States J. Jeffrey Starn's profile →
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 200570
2 200369
3 200557
4 201555
5 201055
6 201841
7 200433
8 201233
9 201525
10 201621
11 201916
12 201213
13 202013
14 201011
15 200311
16 200411
17 20179
18 20049
19
The 2016 groundwater flow model for Dane County, Wisconsin
20167
20 20127

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 614 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (35 papers), Hydrology and Watershed Management Studies (22 papers), Groundwater and Isotope Geochemistry (13 papers), Water Quality and Resources Studies (6 papers), Hydraulic Fracturing and Reservoir Analysis (5 papers), Reservoir Engineering and Simulation Methods (4 papers), Soil and Unsaturated Flow (3 papers) and Cryospheric studies and observations (3 papers). The work is most often cited by research in Geochemistry and Petrology (210 citations), Environmental Engineering (469 citations), Water Science and Technology (310 citations), Environmental Chemistry (54 citations) and Ocean Engineering (81 citations). Daniel T. Feinstein has collaborated with scholars based in United States, Germany and New Zealand. Frequent co-authors include Randall J. Hunt, Michael N. Fienen, Bernard T. Nolan, David J. Hart, Kenneth R. Bradbury, Howard W. Reeves, R. J. Hunt, Henk M. Haitjema, Mary P. Anderson and Leon J. Kauffman. Their work appears in journals such as Ground Water, Water, Environmental Modelling & Software, Journal of Hydrology and Journal of Contaminant Hydrology.

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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