Ty P. A. Ferré

7.2k total citations
198 papers, 5.0k citations indexed

About

Ty P. A. Ferré is a scholar working on Environmental Engineering, Ocean Engineering and Geophysics. According to data from OpenAlex, Ty P. A. Ferré has authored 198 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Environmental Engineering, 72 papers in Ocean Engineering and 66 papers in Geophysics. Recurrent topics in Ty P. A. Ferré's work include Groundwater flow and contamination studies (64 papers), Geophysical Methods and Applications (63 papers) and Soil Moisture and Remote Sensing (58 papers). Ty P. A. Ferré is often cited by papers focused on Groundwater flow and contamination studies (64 papers), Geophysical Methods and Applications (63 papers) and Soil Moisture and Remote Sensing (58 papers). Ty P. A. Ferré collaborates with scholars based in United States, Denmark and Germany. Ty P. A. Ferré's co-authors include Marek Zreda, Darin Desilets, R. G. Kachanoski, David L. Rudolph, Dale F. Rucker, Russell L. Scott, Alex Furman, Trenton E. Franz, Rafael Rosolem and J. H. Knight and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

Ty P. A. Ferré

195 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ty P. A. Ferré United States 37 2.8k 1.5k 1.4k 1.3k 837 198 5.0k
Jan M. H. Hendrickx United States 31 1.8k 0.6× 659 0.4× 645 0.5× 1.0k 0.8× 818 1.0× 118 4.1k
Dennis McLaughlin United States 37 3.2k 1.2× 1.2k 0.8× 750 0.5× 1000 0.8× 1.4k 1.7× 162 5.8k
Kurt Roth Germany 33 2.2k 0.8× 1.1k 0.7× 563 0.4× 1.7k 1.3× 346 0.4× 91 4.2k
S. W. Tyler United States 43 2.8k 1.0× 428 0.3× 543 0.4× 2.2k 1.7× 1.3k 1.6× 144 7.0k
Karsten H. Jensen Denmark 42 2.9k 1.0× 776 0.5× 600 0.4× 1.1k 0.8× 2.0k 2.4× 162 5.1k
Pietro Teatini Italy 44 1.8k 0.6× 1.5k 1.0× 1.1k 0.8× 574 0.4× 249 0.3× 236 6.3k
Heye Bogena Germany 43 4.4k 1.6× 651 0.4× 425 0.3× 2.2k 1.7× 1.9k 2.2× 170 6.5k
Graham E. Fogg United States 38 3.8k 1.3× 1.0k 0.7× 837 0.6× 1.0k 0.8× 1.3k 1.6× 111 5.3k
Yoram Rubin United States 51 5.5k 2.0× 2.8k 1.9× 2.6k 1.9× 2.0k 1.5× 858 1.0× 158 7.5k
Johan Alexander Huisman Germany 52 6.0k 2.1× 3.8k 2.5× 3.2k 2.3× 2.6k 2.0× 1.9k 2.3× 202 10.5k

Countries citing papers authored by Ty P. A. Ferré

Since Specialization
Citations

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

Fields of papers citing papers by Ty P. A. Ferré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ty P. A. Ferré. 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 Ty P. A. Ferré. The network helps show where Ty P. A. Ferré may publish in the future.

Co-authorship network of co-authors of Ty P. A. Ferré

This figure shows the co-authorship network connecting the top 25 collaborators of Ty P. A. Ferré. A scholar is included among the top collaborators of Ty P. A. Ferré 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 Ty P. A. Ferré. Ty P. A. Ferré 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.
Ferré, Ty P. A., et al.. (2023). Improving understanding of groundwater flow in an alpine karst system by reconstructing its geologic history using conduit network model ensembles. Hydrology and earth system sciences. 27(22). 4205–4215. 1 indexed citations
2.
Ferré, Ty P. A., et al.. (2022). Using machine learning to predict optimal electromagnetic induction instrument configurations for characterizing the shallow subsurface. Hydrology and earth system sciences. 26(1). 55–70. 5 indexed citations
3.
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Dwivedi, Ravindra, John F. Knowles, Christopher J. Eastoe, et al.. (2020). Ubiquitous Fractal Scaling and Filtering Behavior of Hydrologic Fluxes and Storages from A Mountain Headwater Catchment. Water. 12(2). 613–613. 2 indexed citations
6.
Ferré, Ty P. A., et al.. (2020). A model ensemble generator to explore structural uncertainty in karst systems with unmapped conduits. Hydrogeology Journal. 29(1). 229–248. 24 indexed citations
7.
Heidbüchel, Ingo, Jie Yang, Andréas Musolff, et al.. (2020). On the shape of forward transit time distributions in low-order catchments. Hydrology and earth system sciences. 24(6). 2895–2920. 15 indexed citations
8.
White, Alissa, Jennifer C. McIntosh, Yaniv Olshansky, et al.. (2019). Storage and routing of water in the deep critical zone of a snow dominated volcanic catchment. 3 indexed citations
9.
White, Alissa, Jennifer C. McIntosh, Yaniv Olshansky, et al.. (2019). Distinct stores and the routing of water in the deep critical zone of a snow-dominated volcanic catchment. Hydrology and earth system sciences. 23(11). 4661–4683. 19 indexed citations
10.
Dwivedi, Ravindra, T. Meixner, Jennifer C. McIntosh, et al.. (2018). Hydrologic functioning of the deep critical zone and contributions to streamflow in a high‐elevation catchment: Testing of multiple conceptual models. Hydrological Processes. 33(4). 476–494. 26 indexed citations
11.
Ferré, Ty P. A., et al.. (2017). Voxel inversion of airborne electromagnetic data for improved groundwater model construction and prediction accuracy. Hydrology and earth system sciences. 21(2). 1321–1337. 22 indexed citations
12.
Christensen, Steen, et al.. (2016). Testing alternative uses of electromagnetic data to reduce the prediction error of groundwater models. Hydrology and earth system sciences. 20(5). 1925–1946. 11 indexed citations
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Christensen, Steen, et al.. (2014). Testing how geophysics can reduce the uncertainty of groundwater model predictions. EGU General Assembly Conference Abstracts. 9602. 1 indexed citations
15.
Thorp, Kelly R., et al.. (2012). Testing an Ensemble Kalman Filter for Assimilation of Soil Moisture into HYDRUS 1D and Coupled Crop Model. AGUFM. 2012. 2 indexed citations
16.
Rosolem, Rafael, Marek Zreda, C. Zweck, et al.. (2011). Can a COSMOS probe measure other environmental variables other than water content in the soils. AGUFM. 2011. 1 indexed citations
17.
Furman, Alex, et al.. (2007). Spatial focusing of electrical resistivity surveys considering geologic and hydrologic layering. Geophysics. 72(2). F65–F73. 36 indexed citations
18.
Fink, Wolfgang, J. M. Dohm, Mark A. Tarbell, et al.. (2006). Multi-Tier Multi-Agent Autonomous Robotic Planetary Surface/Subsurface Reconnaissance for Life. 37th Annual Lunar and Planetary Science Conference. 1433. 2 indexed citations
19.
Hook, W. R., Ty P. A. Ferré, & N. J. Livingston. (2004). The Effects of Salinity on the Accuracy and Uncertainty of Water Content Measurement. Soil Science Society of America Journal. 68(1). 47–56. 34 indexed citations
20.
Burke, Eleanor, et al.. (2002). Measurements of Whole Canopy Water Status Using an Impulse Time Domain Transmission Technique. AGU Fall Meeting Abstracts. 2002. 1 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.

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