Patrick R. Kormos

1.6k total citations
45 papers, 1.1k citations indexed

About

Patrick R. Kormos is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Patrick R. Kormos has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 23 papers in Ecology and 21 papers in Atmospheric Science. Recurrent topics in Patrick R. Kormos's work include Hydrology and Watershed Management Studies (20 papers), Fire effects on ecosystems (19 papers) and Rangeland and Wildlife Management (18 papers). Patrick R. Kormos is often cited by papers focused on Hydrology and Watershed Management Studies (20 papers), Fire effects on ecosystems (19 papers) and Rangeland and Wildlife Management (18 papers). Patrick R. Kormos collaborates with scholars based in United States, United Kingdom and Switzerland. Patrick R. Kormos's co-authors include C. Jason Williams, Frederick B. Pierson, Osama Z. Al‐Hamdan, Stuart P. Hardegree, Danny Marks, Patrick E. Clark, J. P. McNamara, Charles H. Luce, Mark A. Weltz and Hans‐Peter Marshall and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Forest Ecology and Management.

In The Last Decade

Patrick R. Kormos

43 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick R. Kormos United States 18 694 549 394 375 236 45 1.1k
Daniel Cadol United States 18 383 0.6× 785 1.4× 359 0.9× 192 0.5× 175 0.7× 42 1.2k
Eliisa Lotsari Finland 21 400 0.6× 529 1.0× 329 0.8× 347 0.9× 105 0.4× 49 1.1k
Robert D. Jarrett United States 18 532 0.8× 828 1.5× 719 1.8× 286 0.8× 190 0.8× 37 1.4k
Dieter Gutknecht Austria 15 595 0.9× 444 0.8× 781 2.0× 401 1.1× 88 0.4× 25 1.3k
Catalina Segura United States 20 297 0.4× 511 0.9× 657 1.7× 135 0.4× 62 0.3× 56 1.0k
Osama Z. Al‐Hamdan United States 17 472 0.7× 518 0.9× 194 0.5× 66 0.2× 218 0.9× 31 842
Nicholas A. Sutfin United States 13 209 0.3× 612 1.1× 225 0.6× 199 0.5× 69 0.3× 19 933
Richard R. McDonald United States 17 267 0.4× 418 0.8× 311 0.8× 139 0.4× 45 0.2× 39 744
José A. López‐Tarazón Spain 23 313 0.5× 765 1.4× 749 1.9× 127 0.3× 82 0.3× 35 1.2k
Paul Rustomji Australia 15 538 0.8× 673 1.2× 809 2.1× 233 0.6× 67 0.3× 30 1.4k

Countries citing papers authored by Patrick R. Kormos

Since Specialization
Citations

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

Fields of papers citing papers by Patrick R. Kormos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick R. Kormos. 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 Patrick R. Kormos. The network helps show where Patrick R. Kormos may publish in the future.

Co-authorship network of co-authors of Patrick R. Kormos

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick R. Kormos. A scholar is included among the top collaborators of Patrick R. Kormos 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 Patrick R. Kormos. Patrick R. Kormos 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.
Horel, John D., et al.. (2023). Operational water forecast ability of the HRRR-iSnobal combination: an evaluation to adapt into production environments. Geoscientific model development. 16(1). 233–250. 9 indexed citations
2.
Williams, C. Jason, Frederick B. Pierson, Osama Z. Al‐Hamdan, et al.. (2022). Assessing runoff and erosion on woodland‐encroached sagebrush steppe using the Rangeland Hydrology and Erosion Model. Ecosphere. 13(6). 10 indexed citations
3.
Kiewiet, Leonie, Ernesto Trujillo, A. R. Hedrick, et al.. (2022). Drivers of spatiotemporal patterns of surface water inputs in a catchment at the rain-snow transition zone of the water-limited western United States. Journal of Hydrology. 616. 128699–128699. 3 indexed citations
4.
5.
Bormann, K. J., et al.. (2019). Tangible use of Airborne Snow Observatory SWE Products for enhanced runoff forecasting. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
6.
Sohrabi, Mohammad M., Daniele Tonina, Rohan Benjankar, et al.. (2019). On the role of spatial resolution on snow estimates using a process‐based snow model across a range of climatology and elevation. Hydrological Processes. 33(8). 1260–1275. 8 indexed citations
7.
Havens, S., et al.. (2019). Approximating Input Data to a Snowmelt Model Using Weather Research and Forecasting Model Outputs in Lieu of Meteorological Measurements. Journal of Hydrometeorology. 20(5). 847–862. 14 indexed citations
8.
9.
Kormos, Patrick R., Danny Marks, M. S. Seyfried, et al.. (2018). 31 years of hourly spatially distributed air temperature, humidity, and precipitation amount and phase from Reynolds Critical Zone Observatory. Earth system science data. 10(2). 1197–1205. 16 indexed citations
10.
Hedrick, A. R., Danny Marks, S. Havens, et al.. (2018). Direct Insertion of NASA Airborne Snow Observatory‐Derived Snow Depth Time Series Into the iSnobal Energy Balance Snow Model. Water Resources Research. 54(10). 8045–8063. 82 indexed citations
11.
12.
Kormos, Patrick R., Danny Marks, Frederick B. Pierson, et al.. (2017). Meteorological, snow, streamflow, topographic, and vegetation height data from four western juniper-dominated experimental catchments in southwestern Idaho, USA. Earth system science data. 9(1). 91–98. 2 indexed citations
13.
Ala‐aho, Pertti, Doerthe Tetzlaff, J. P. McNamara, et al.. (2017). Modeling the isotopic evolution of snowpack and snowmelt: Testing a spatially distributed parsimonious approach. Water Resources Research. 53(7). 5813–5830. 57 indexed citations
14.
McNamara, J. P., S. G. Benner, Michael J. Poulos, et al.. (2017). Form and function relationships revealed by long‐term research in a semiarid mountain catchment. Wiley Interdisciplinary Reviews Water. 5(2). 15 indexed citations
15.
16.
Luce, Charles H., James M. Vose, Neil Pederson, et al.. (2016). Contributing factors for drought in United States forest ecosystems under projected future climates and their uncertainty. Forest Ecology and Management. 380. 299–308. 45 indexed citations
17.
Kormos, Patrick R., Danny Marks, C. Jason Williams, et al.. (2014). Soil, snow, weather, and sub-surface storage data from a mountain catchment in the rain–snow transition zone. Earth system science data. 6(1). 165–173. 13 indexed citations
18.
Kormos, Patrick R., et al.. (2011). Use of Plot Scale Observations to gauge the applicability of Physically-Based Models. AGUFM. 2011. 1 indexed citations
19.
Al‐Hamdan, Osama Z., Frederick B. Pierson, C. Jason Williams, et al.. (2011). Estimating concentrated flow erodibility parameters from pre- and post-fire rangeland field data for physically-based erosion modeling. AGUFM. 2011. 1 indexed citations
20.
Al‐Hamdan, Osama Z., Frederick B. Pierson, M. A. Nearing, et al.. (2011). Characteristics of concentrated flow hydraulics for rangeland ecosystems: implications for hydrologic modeling. Earth Surface Processes and Landforms. 37(2). 157–168. 41 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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