Daniel T. Feinstein
- Geochemistry and Petrology top 5%
- Groundwater and Isotope Geochemistry 12
- Environmental Engineering top 2%
- Groundwater flow and contamination studies 34
- Hydrological Forecasting Using AI 2
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies 22
- Water Quality and Resources Studies 6
- Environmental Chemistry top 10%
- Ocean Engineering top 10%
- Reservoir Engineering and Simulation Methods 4
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- Hydraulic Fracturing and Reservoir Analysis 5
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- Cryospheric studies and observations 3
- Co-authors
- Randall J. HuntMichael N. FienenBernard T. NolanDavid J. HartKenneth R. BradburyHoward W. ReevesHenk M. HaitjemaMary P. Anderson
- Partner nations
- United StatesSri LankaGermany
In The Last Decade
Daniel T. Feinstein
34 papers receiving 507 citations
Peers
Comparison fields: 5 of 65
- Geochemistry and Petrology 199
- Environmental Engineering 440
- Water Science and Technology 293
- Environmental Chemistry 55
- Ocean Engineering 76
Countries citing papers authored by Daniel T. Feinstein
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 13 | |
| 8 | 2018 | 4 | |
| 9 | 2017 | 2 | |
| 10 | The 2016 groundwater flow model for Dane County, Wisconsin | 2016 | 7 |
| 11 | 2015 | 25 | |
| 12 | 2015 | 1 | |
| 13 | 2012 | 6 | |
| 14 | 2010 | 10 | |
| 15 | 2005 | 67 | |
| 16 | Using Diverse Data Types to Calibrate a Watershed Model of the Trout Lake Basin, Northern Wisconsin | 2004 | 3 |
| 17 | 2004 | 32 | |
| 18 | 2004 | 9 | |
| 19 | 2003 | 65 | |
| 20 | 2003 | 9 |
About Daniel T. Feinstein
Daniel T. Feinstein is a scholar working on Environmental Engineering, Geochemistry and Petrology, Water Science and Technology, Ocean Engineering and Atmospheric Science, 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, Sri Lanka and Germany. 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 Journal of 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.