Daniel T. Feinstein

721 total citations
36 papers, 580 citations indexed

About

Daniel T. Feinstein is a scholar working on Environmental Engineering, Water Science and Technology and Geochemistry and Petrology. According to data from OpenAlex, Daniel T. Feinstein has authored 36 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Environmental Engineering, 24 papers in Water Science and Technology and 12 papers in Geochemistry and Petrology. Recurrent topics in Daniel T. Feinstein's work include Groundwater flow and contamination studies (34 papers), Hydrology and Watershed Management Studies (22 papers) and Groundwater and Isotope Geochemistry (12 papers). Daniel T. Feinstein is often cited by papers focused on Groundwater flow and contamination studies (34 papers), Hydrology and Watershed Management Studies (22 papers) and Groundwater and Isotope Geochemistry (12 papers). Daniel T. Feinstein collaborates with scholars based in United States, Sri Lanka and Germany. Daniel T. Feinstein's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

In The Last Decade

Daniel T. Feinstein

34 papers receiving 507 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel T. Feinstein United States 13 440 293 199 85 76 36 580
J. Jeffrey Starn United States 13 483 1.1× 309 1.1× 282 1.4× 85 1.0× 106 1.4× 26 631
Yueqing Xie China 17 412 0.9× 289 1.0× 264 1.3× 83 1.0× 56 0.7× 43 653
Xueyan Ye China 15 353 0.8× 198 0.7× 131 0.7× 79 0.9× 45 0.6× 44 529
Willem Jan Zaadnoordijk Netherlands 13 306 0.7× 155 0.5× 151 0.8× 63 0.7× 64 0.8× 32 439
Fabien Cornaton Switzerland 14 454 1.0× 147 0.5× 261 1.3× 73 0.9× 87 1.1× 23 604
Alper Elçi Türkiye 15 270 0.6× 123 0.4× 148 0.7× 74 0.9× 111 1.5× 32 518
Eric D. Morway United States 12 320 0.7× 284 1.0× 147 0.7× 101 1.2× 93 1.2× 24 524
Gregory E. Granato United States 16 432 1.0× 402 1.4× 102 0.5× 52 0.6× 57 0.8× 61 706
Catalin Stefan Germany 14 523 1.2× 239 0.8× 285 1.4× 76 0.9× 114 1.5× 50 707
Jens‐Olaf Delfs Germany 10 341 0.8× 355 1.2× 93 0.5× 144 1.7× 61 0.8× 21 630

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-authorship network of co-authors of Daniel T. Feinstein

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

All Works

20 of 20 papers shown
1.
2.
Starn, J. Jeffrey, Leon J. Kauffman, & Daniel T. Feinstein. (2023). Groundwater residence times in glacial aquifers—A new general simulation-model approach compared to conventional inset models. Scientific investigations report.
3.
Cowdery, Timothy K., et al.. (2023). Hydrologic change in the St. Louis River Basin from iron mining on the Mesabi Iron Range, northeastern Minnesota. Scientific investigations report. 1 indexed citations
4.
Feinstein, Daniel T., Randall J. Hunt, & Eric D. Morway. (2022). Simulation of Heat Flow in a Synthetic Watershed: Lags and Dampening across Multiple Pathways under a Climate-Forcing Scenario. Water. 14(18). 2810–2810. 5 indexed citations
5.
Morway, Eric D., Daniel T. Feinstein, & Randall J. Hunt. (2022). Simulation of Heat Flow in a Synthetic Watershed: The Role of the Unsaturated Zone. Water. 14(23). 3883–3883. 3 indexed citations
6.
Hunt, Randall J., et al.. (2021). Groundwater/surface-water interactions in the Partridge River Basin and evaluation of hypothetical future mine pits, Minnesota. Scientific investigations report. 3 indexed citations
7.
White, Jeremy T., et al.. (2020). A non-intrusive approach for efficient stochastic emulation and optimization of model-based nitrate-loading management decision support. Environmental Modelling & Software. 126. 104657–104657. 13 indexed citations
8.
Feinstein, Daniel T., et al.. (2018). Extraction and development of inset models in support of groundwater age calculations for glacial aquifers. Scientific investigations report. 4 indexed citations
9.
Reeves, Howard W., Robert W. Dudley, Daniel T. Feinstein, et al.. (2017). Generalized hydrogeologic framework and groundwater budget for a groundwater availability study for the glacial aquifer system of the United States. Scientific investigations report. 2 indexed citations
10.
Bradbury, Kenneth R., et al.. (2016). The 2016 groundwater flow model for Dane County, Wisconsin. Philadelphia Museum of Art Bulletin. 7 indexed citations
11.
Fienen, Michael N., Bernard T. Nolan, Daniel T. Feinstein, & J. Jeffrey Starn. (2015). Metamodels to Bridge the Gap Between Modeling and Decision Support. Ground Water. 53(4). 511–512. 25 indexed citations
12.
Haitjema, H.M., et al.. (2015). Field Test of a Hybrid Finite‐Difference and Analytic Element Regional Model. Ground Water. 54(1). 66–73. 1 indexed citations
13.
14.
Haitjema, H.M., Daniel T. Feinstein, Randall J. Hunt, & Maksym Gusyev. (2010). A Hybrid Finite‐Difference and Analytic Element Groundwater Model. Ground Water. 48(4). 538–548. 10 indexed citations
15.
Hart, David J., Kenneth R. Bradbury, & Daniel T. Feinstein. (2005). The Vertical Hydraulic Conductivity of an Aquitard at Two Spatial Scales. Ground Water. 44(2). 201–211. 67 indexed citations
16.
Feinstein, Daniel T., et al.. (2004). Using Diverse Data Types to Calibrate a Watershed Model of the Trout Lake Basin, Northern Wisconsin. AGUFM. 2004. 3 indexed citations
17.
Schreiber, Madeline E., et al.. (2004). Mechanisms of electron acceptor utilization: implications for simulating anaerobic biodegradation. Journal of Contaminant Hydrology. 73(1-4). 99–127. 32 indexed citations
18.
Feinstein, Daniel T., et al.. (2004). Simulation of ground-water flow, surface-water flow, and a deep sewer tunnel system in the Menomonee Valley, Milwaukee, Wisconsin. Scientific investigations report. 9 indexed citations
19.
Hunt, Randall J., et al.. (2003). Simulating Ground Water‐Lake Interactions: Approaches and Insights. Ground Water. 41(2). 227–237. 65 indexed citations
20.
Feinstein, Daniel T., et al.. (2003). Stepwise Use of GFLOW and MODFLOW to Determine Relative Importance of Shallow and Deep Receptors. Ground Water. 41(2). 190–199. 9 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by J. Jeffrey Starn Breakdown of academic impact, for papers by Yueqing Xie Breakdown of academic impact, for papers by Xueyan Ye Breakdown of academic impact, for papers by Willem Jan Zaadnoordijk Breakdown of academic impact, for papers by Fabien Cornaton Breakdown of academic impact, for papers by Alper Elçi Breakdown of academic impact, for papers by Eric D. Morway Breakdown of academic impact, for papers by Gregory E. Granato Breakdown of academic impact, for papers by Catalin Stefan Breakdown of academic impact, for papers by Jens‐Olaf Delfs
Rankless by CCL
2026