Mary C. Hill

980 total citations
22 papers, 554 citations indexed

About

Mary C. Hill is a scholar working on Water Science and Technology, Environmental Engineering and Ecology. According to data from OpenAlex, Mary C. Hill has authored 22 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Water Science and Technology, 6 papers in Environmental Engineering and 4 papers in Ecology. Recurrent topics in Mary C. Hill's work include Hydrology and Watershed Management Studies (8 papers), Groundwater flow and contamination studies (5 papers) and Soil erosion and sediment transport (4 papers). Mary C. Hill is often cited by papers focused on Hydrology and Watershed Management Studies (8 papers), Groundwater flow and contamination studies (5 papers) and Soil erosion and sediment transport (4 papers). Mary C. Hill collaborates with scholars based in United States, Germany and Switzerland. Mary C. Hill's co-authors include Laura Foglia, Steffen Mehl, Paolo Burlando, Eileen Poeter, Marc F. P. Bierkens, R. M. Maxwell, Anne F. Van Loon, Anne Verhoef, Mauro Sulis and Stefan Kollet and has published in prestigious journals such as Environmental Science & Technology, Water Resources Research and Journal of Hydrology.

In The Last Decade

Mary C. Hill

22 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary C. Hill United States 11 276 247 125 86 72 22 554
Jens‐Olaf Delfs Germany 10 355 1.3× 341 1.4× 165 1.3× 61 0.7× 46 0.6× 21 630
Golmar Golmohammadi Canada 14 370 1.3× 238 1.0× 228 1.8× 61 0.7× 46 0.6× 26 585
Meysam Salarijazi Iran 13 261 0.9× 144 0.6× 209 1.7× 105 1.2× 71 1.0× 45 489
Shishir Gaur India 14 293 1.1× 438 1.8× 226 1.8× 172 2.0× 47 0.7× 53 719
Dang An Tran Vietnam 14 288 1.0× 264 1.1× 238 1.9× 33 0.4× 82 1.1× 22 623
Jens Grundmann Germany 13 153 0.6× 171 0.7× 127 1.0× 97 1.1× 102 1.4× 29 419
Norm Jones United States 10 462 1.7× 268 1.1× 308 2.5× 48 0.6× 36 0.5× 15 624
Salvador Peña‐Haro Spain 14 284 1.0× 213 0.9× 215 1.7× 143 1.7× 179 2.5× 27 617
Falk Heße Germany 15 223 0.8× 404 1.6× 132 1.1× 119 1.4× 46 0.6× 39 718

Countries citing papers authored by Mary C. Hill

Since Specialization
Citations

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

Fields of papers citing papers by Mary C. Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary C. Hill. 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 Mary C. Hill. The network helps show where Mary C. Hill may publish in the future.

Co-authorship network of co-authors of Mary C. Hill

This figure shows the co-authorship network connecting the top 25 collaborators of Mary C. Hill. A scholar is included among the top collaborators of Mary C. Hill 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 Mary C. Hill. Mary C. Hill 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.
Hill, Mary C., et al.. (2025). Climate change impacts on solar energy generation in the continental United States, forecasts from deep learning. Environmental Modelling & Software. 192. 106535–106535. 1 indexed citations
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3.
Pfromm, Peter H., et al.. (2022). Green ammonia production-enabled demand flexibility in agricultural community microgrids with distributed renewables. Sustainable Energy Grids and Networks. 31. 100736–100736. 21 indexed citations
4.
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Hill, Mary C., Benjamin Gray, Hongyu Wu, et al.. (2021). Relating agriculture, energy, and water decisions to farm incomes and climate projections using two freeware programs, FEWCalc and DSSAT. Agricultural Systems. 193. 103222–103222. 5 indexed citations
6.
Condon, Laura E., Stefan Kollet, Marc F. P. Bierkens, et al.. (2021). Global Groundwater Modeling and Monitoring: Opportunities and Challenges. Water Resources Research. 57(12). 155 indexed citations
7.
Barnhart, Katherine R., Gregory E. Tucker, Rachel Glade, et al.. (2020). Projections of Landscape Evolution on a 10,000 Year Timescale With Assessment and Partitioning of Uncertainty Sources. Journal of Geophysical Research Earth Surface. 125(12). 10 indexed citations
8.
Barnhart, Katherine R., Gregory E. Tucker, Charles M. Shobe, et al.. (2020). Inverting Topography for Landscape Evolution Model Process Representation: 2. Calibration and Validation. Journal of Geophysical Research Earth Surface. 125(7). 21 indexed citations
9.
Barnhart, Katherine R., Gregory E. Tucker, Charles M. Shobe, et al.. (2020). Inverting Topography for Landscape Evolution Model Process Representation: 1. Conceptualization and Sensitivity Analysis. Journal of Geophysical Research Earth Surface. 125(7). 27 indexed citations
10.
Barnhart, Katherine R., Gregory E. Tucker, Charles M. Shobe, et al.. (2020). Inverting Topography for Landscape Evolution Model Process Representation: 3. Determining Parameter Ranges for Select Mature Geomorphic Transport Laws and Connecting Changes in Fluvial Erodibility to Changes in Climate. Journal of Geophysical Research Earth Surface. 125(7). 22 indexed citations
11.
Hill, Mary C., et al.. (2020). Consequences of climate change on food-energy-water systems in arid regions without agricultural adaptation, analyzed using FEWCalc and DSSAT. Resources Conservation and Recycling. 168. 105309–105309. 9 indexed citations
12.
Peckham, S. D., Anna Kelbert, Mary C. Hill, & Eric Hutton. (2016). Towards uncertainty quantification and parameter estimation for Earth system models in a component-based modeling framework. Computers & Geosciences. 90. 152–161. 6 indexed citations
13.
Magro, Alexandra, et al.. (2016). Is assessment of oviposition sites using conspecific larval cues a general mechanism in aphidophagous ladybirds (Coccinellidae)?. Journal of Applied Entomology. 141(3). 235–240. 3 indexed citations
14.
Graef, John R. & Mary C. Hill. (2014). Nonoscillation of all solutions of a higher order nonlinear delay dynamic equation on time scales. Journal of Mathematical Analysis and Applications. 423(2). 1693–1703. 3 indexed citations
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16.
Hill, Mary C., Eileen Poeter, & Chunmiao Zheng. (2010). Foreword: Groundwater Modeling and Public Policy. Ground Water. 48(5). 625–626. 3 indexed citations
17.
Foglia, Laura, Mary C. Hill, Steffen Mehl, Paolo Perona, & Paolo Burlando. (2010). Identifying Important Observations Using Cross Validation and Computationally Frugal Sensitivity Analysis Methods. Procedia - Social and Behavioral Sciences. 2(6). 7650–7651. 1 indexed citations
18.
Foglia, Laura, Mary C. Hill, Steffen Mehl, & Paolo Burlando. (2009). Sensitivity analysis, calibration, and testing of a distributed hydrological model using error‐based weighting and one objective function. Water Resources Research. 45(6). 128 indexed citations
19.
Hill, Mary C.. (2009). Comment on “Two statistics for evaluating parameter identifiability and error reduction” by John Doherty and Randall J. Hunt. Journal of Hydrology. 380(3-4). 481–488. 16 indexed citations
20.
Poeter, Eileen & Mary C. Hill. (2008). SIM_ADJUST -- A computer code that adjusts simulated equivalents for observations or predictions. 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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