Michael H. Young

5.4k total citations · 1 hit paper
128 papers, 3.1k citations indexed

About

Michael H. Young is a scholar working on Environmental Engineering, Civil and Structural Engineering and Global and Planetary Change. According to data from OpenAlex, Michael H. Young has authored 128 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Environmental Engineering, 44 papers in Civil and Structural Engineering and 27 papers in Global and Planetary Change. Recurrent topics in Michael H. Young's work include Soil and Unsaturated Flow (41 papers), Groundwater flow and contamination studies (25 papers) and Soil Moisture and Remote Sensing (20 papers). Michael H. Young is often cited by papers focused on Soil and Unsaturated Flow (41 papers), Groundwater flow and contamination studies (25 papers) and Soil Moisture and Remote Sensing (20 papers). Michael H. Young collaborates with scholars based in United States, China and Germany. Michael H. Young's co-authors include Li Chen, P. J. Wierenga, Eric V. McDonald, Todd G. Caldwell, Kurt D. Pennell, Ahmet Karagündüz, Charles J. Abolt, Jianting Zhu, C. F. Mancino and N. Cary Engleberg and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Michael H. Young

119 papers receiving 2.9k citations

Hit Papers

Soil hydrology in the Earth system 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael H. Young United States 31 1.1k 991 767 578 547 128 3.1k
Jianting Zhu United States 32 1.0k 0.9× 709 0.7× 990 1.3× 727 1.3× 409 0.7× 142 2.8k
John L. Nieber United States 35 1.7k 1.5× 1.4k 1.4× 1.1k 1.4× 1.3k 2.2× 699 1.3× 145 3.9k
Ole Wendroth United States 33 2.5k 2.3× 2.0k 2.0× 591 0.8× 608 1.1× 1.3k 2.4× 139 4.3k
Marco Bittelli Italy 35 1.6k 1.5× 1.7k 1.7× 476 0.6× 475 0.8× 667 1.2× 80 3.9k
Michael Herbst Germany 35 2.4k 2.2× 1.7k 1.7× 1.3k 1.6× 955 1.7× 1.2k 2.2× 122 4.7k
Peter Lehmann Switzerland 40 1.5k 1.4× 2.0k 2.0× 1.5k 1.9× 653 1.1× 745 1.4× 118 5.2k
Keith L. Bristow Australia 38 1.8k 1.6× 2.3k 2.3× 1.3k 1.7× 627 1.1× 1.7k 3.1× 123 5.8k
Mark E. Grismer United States 28 816 0.7× 559 0.6× 987 1.3× 938 1.6× 961 1.8× 136 3.3k
Jan Boll United States 39 997 0.9× 533 0.5× 1.1k 1.5× 1.8k 3.1× 982 1.8× 131 3.8k
Binliang Lin China 39 637 0.6× 631 0.6× 1.3k 1.7× 1.4k 2.4× 302 0.6× 169 4.4k

Countries citing papers authored by Michael H. Young

Since Specialization
Citations

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

Fields of papers citing papers by Michael H. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael H. Young. 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 Michael H. Young. The network helps show where Michael H. Young may publish in the future.

Co-authorship network of co-authors of Michael H. Young

This figure shows the co-authorship network connecting the top 25 collaborators of Michael H. Young. A scholar is included among the top collaborators of Michael H. Young 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 Michael H. Young. Michael H. Young 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.
Dashtian, Hassan, et al.. (2024). A framework to nowcast soil moisture with NASA SMAP level 4 data using in-situ measurements and deep learning. Journal of Hydrology Regional Studies. 56. 102020–102020.
2.
Verma, R. P., et al.. (2024). The Cobalt Supply Chain and Environmental Life Cycle Impacts of Lithium-Ion Battery Energy Storage Systems. Sustainability. 16(5). 1910–1910. 17 indexed citations
3.
Verma, R. P., et al.. (2024). Comparative Life-Cycle Assessment of Electricity-Generation Technologies: West Texas Case Study. Energies. 17(5). 992–992. 7 indexed citations
4.
Abolt, Charles J. & Michael H. Young. (2020). High-resolution mapping of spatial heterogeneity in ice wedge polygon geomorphology near Prudhoe Bay, Alaska. Scientific Data. 7(1). 87–87. 23 indexed citations
5.
Abolt, Charles J., Michael H. Young, A. L. Atchley, D. R. Harp, & Ethan T. Coon. (2020). Feedbacks Between Surface Deformation and Permafrost Degradation in Ice Wedge Polygons, Arctic Coastal Plain, Alaska. Journal of Geophysical Research Earth Surface. 125(3). 20 indexed citations
6.
Fatichi, Simone, Dani Or, R. L. Walko, et al.. (2020). Soil structure is an important omission in Earth System Models. Nature Communications. 11(1). 522–522. 174 indexed citations
7.
Kreitler, Charles W., et al.. (2020). Exploring Groundwater Recoverability in Texas: Maximum Economically Recoverable Storage. SHILAP Revista de lepidopterología. 11(1). 152–171. 3 indexed citations
8.
Abolt, Charles J., Michael H. Young, A. L. Atchley, & Cathy J. Wilson. (2019). Brief communication: Rapid machine-learning-based extraction and measurement of ice wedge polygons in high-resolution digital elevation models. ˜The œcryosphere. 13(1). 237–245. 28 indexed citations
10.
Abolt, Charles J., Michael H. Young, A. L. Atchley, & Cathy J. Wilson. (2018). Brief communication: Rapid machine learning-based extraction and measurement of ice wedge polygons in airborne lidar data. Biogeosciences (European Geosciences Union). 1 indexed citations
11.
Abolt, Charles J., Michael H. Young, A. L. Atchley, & D. R. Harp. (2018). Microtopographic control on the ground thermal regime in ice wedge polygons. ˜The œcryosphere. 12(6). 1957–1968. 35 indexed citations
12.
Savvaidis, Alexandros, Peter Hennings, Ellen M. Rathje, et al.. (2017). Site Assessment of a New State-Wide Seismic Network in Texas (TexNet), USA.. EGUGA. 11387. 1 indexed citations
13.
Young, Michael H., et al.. (2017). Time Series Analysis of Energy Production and Associated Landscape Fragmentation in the Eagle Ford Shale Play. Environmental Management. 60(5). 852–866. 19 indexed citations
14.
Abolt, Charles J., et al.. (2015). Impacts from Above-Ground Activities in the Eagle Ford Shale Play on Landscapes and Hydrologic Flows, La Salle County, Texas. Environmental Management. 55(6). 1262–1275. 18 indexed citations
15.
Paine, Jeffrey G., et al.. (2013). Airborne lidar on the Alaskan North Slope: Wetlands mapping, lake volumes, and permafrost features. The Leading Edge. 32(7). 798–805. 13 indexed citations
16.
Wilcox, Bradford P., Laura Turnbull, Michael H. Young, et al.. (2011). Invasion of shrublands by exotic grasses: ecohydrological consequences in cold versus warm deserts. Ecohydrology. 5(2). 160–173. 73 indexed citations
17.
Chief, Karletta, et al.. (2010). Water Infiltration into Arid Soils - First Results from a Lysimeter Study. AGU Fall Meeting Abstracts. 2010. 1 indexed citations
18.
Young, Michael H., Laraine Washer, & Preeti Malani. (2008). Surgical Site Infections in Older Adults. Drugs & Aging. 25(5). 399–414. 18 indexed citations
19.
Young, Michael H., N. Cary Engleberg, Zuber D. Mulla, & David M. Aronoff. (2006). Therapies for necrotising fasciitis. Expert Opinion on Biological Therapy. 6(2). 155–165. 31 indexed citations
20.
Young, Michael H., et al.. (2003). Infiltration Through Desert Pavements, Mojave Desert, CA, USA. EGS - AGU - EUG Joint Assembly. 4831. 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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