Emin C. Dogrul

435 total citations
19 papers, 347 citations indexed

About

Emin C. Dogrul is a scholar working on Water Science and Technology, Environmental Engineering and Ocean Engineering. According to data from OpenAlex, Emin C. Dogrul has authored 19 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Water Science and Technology, 8 papers in Environmental Engineering and 6 papers in Ocean Engineering. Recurrent topics in Emin C. Dogrul's work include Hydrology and Watershed Management Studies (11 papers), Groundwater flow and contamination studies (7 papers) and Water resources management and optimization (4 papers). Emin C. Dogrul is often cited by papers focused on Hydrology and Watershed Management Studies (11 papers), Groundwater flow and contamination studies (7 papers) and Water resources management and optimization (4 papers). Emin C. Dogrul collaborates with scholars based in United States, South Korea and Iran. Emin C. Dogrul's co-authors include Tariq N. Kadir, Charles F. Brush, Francis I. Chung, M. L. Kavvas, Jaeyoung Yoon, Larry Dale, Jay R. Lund, Forrest Melton, N. Ohara and Thomas Harter and has published in prestigious journals such as Journal of Hydrology, Environmental Modelling & Software and Computers & Geosciences.

In The Last Decade

Emin C. Dogrul

18 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emin C. Dogrul United States 11 231 116 114 87 53 19 347
Tariq N. Kadir United States 11 204 0.9× 124 1.1× 130 1.1× 106 1.2× 54 1.0× 27 362
Meysam Salarijazi Iran 13 261 1.1× 209 1.8× 144 1.3× 105 1.2× 59 1.1× 45 489
Noor Muhammad Khan Pakistan 12 203 0.9× 179 1.5× 85 0.7× 130 1.5× 52 1.0× 35 401
Chaoyang Du China 10 191 0.8× 191 1.6× 132 1.2× 24 0.3× 39 0.7× 21 360
Recep Yurtal Türkiye 10 134 0.6× 148 1.3× 123 1.1× 62 0.7× 15 0.3× 25 368
Omon A. Obarein United States 5 162 0.7× 121 1.0× 100 0.9× 27 0.3× 50 0.9× 14 304
Jos R. von Asmuth Netherlands 12 348 1.5× 114 1.0× 358 3.1× 81 0.9× 39 0.7× 13 527
Seonggyu Park United States 13 401 1.7× 215 1.9× 270 2.4× 52 0.6× 50 0.9× 22 514
Shin’ya Katsura Japan 9 231 1.0× 87 0.8× 164 1.4× 38 0.4× 53 1.0× 24 409
Mani Kant Verma India 12 164 0.7× 208 1.8× 153 1.3× 36 0.4× 25 0.5× 30 335

Countries citing papers authored by Emin C. Dogrul

Since Specialization
Citations

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

Fields of papers citing papers by Emin C. Dogrul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emin C. Dogrul

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

All Works

19 of 19 papers shown
1.
Sadeghi, Morteza, et al.. (2022). Estimating soil water flux from single-depth soil moisture data. Journal of Hydrology. 610. 127999–127999. 9 indexed citations
2.
Ercan, Ali, Emin C. Dogrul, & Tariq N. Kadir. (2016). Investigation of the groundwater modelling component of the Integrated Water Flow Model (IWFM). Hydrological Sciences Journal. 61(16). 2834–2848. 3 indexed citations
3.
Dogrul, Emin C., Wolfgang Schmid, Randall T. Hanson, Tariq N. Kadir, & Francis I. Chung. (2016). Integrated water flow model and modflow-farm process: A comparison of theory, approaches, and features of two integrated hydrologic models. 4 indexed citations
4.
Dogrul, Emin C., Charles F. Brush, & Tariq N. Kadir. (2016). Groundwater Modeling in Support of Water Resources Management and Planning under Complex Climate, Regulatory, and Economic Stresses. Water. 8(12). 592–592. 23 indexed citations
5.
Medellín–Azuara, Josué, Duncan MacEwan, Richard E. Howitt, et al.. (2015). Hydro-economic analysis of groundwater pumping for irrigated agriculture in California’s Central Valley, USA. Hydrogeology Journal. 23(6). 1205–1216. 79 indexed citations
6.
Dogrul, Emin C., Tariq N. Kadir, Charles F. Brush, & Francis I. Chung. (2015). Linking groundwater simulation and reservoir system analysis models: The case for California’s Central Valley. Environmental Modelling & Software. 77. 168–182. 31 indexed citations
7.
Dale, Larry, Emin C. Dogrul, Charles F. Brush, & Tariq N. Kadir. (2013). Simulating the Impact of Drought on California’s Central Valley Hydrology, Groundwater and Cropping. 3(3). 271–291. 21 indexed citations
8.
Dogrul, Emin C., et al.. (2012). Implementation of a feature-constraint mesh generation algorithm within a GIS. Computers & Geosciences. 49. 46–52. 11 indexed citations
9.
10.
Dogrul, Emin C., Tariq N. Kadir, & Francis I. Chung. (2010). Root Zone Moisture Routing and Water Demand Calculations in the Context of Integrated Hydrology. Journal of Irrigation and Drainage Engineering. 137(6). 359–366. 8 indexed citations
11.
Brush, Charles F., Larry Dale, Norman L. Miller, et al.. (2009). Linking economic and integrated hydrologic models to investigate the effects of reduced surface water deliveries on the aquifers of California’s Central Valley. AGUFM. 2009. 1 indexed citations
12.
Miller, Norman L., Larry Dale, Charles F. Brush, et al.. (2009). Drought Resilience of the California Central Valley Surface‐Ground‐Water‐Conveyance System1. JAWRA Journal of the American Water Resources Association. 45(4). 857–866. 25 indexed citations
13.
Brush, Charles F., Emin C. Dogrul, Tariq N. Kadir, & Francis I. Chung. (2007). Applying C2VSIM, an integrated hydrologic model of California's Central Valley, to assess local and regional impacts of conjunctive use projects. AGUFM. 2007.
14.
Brush, Charles F., et al.. (2006). Modeling The Evolution Of A Regional Aquifer System With The California Central Valley Groundwater-Surface Water Simulation Model (C2VSIM). AGU Fall Meeting Abstracts. 2006. 1 indexed citations
15.
Dogrul, Emin C. & Tariq N. Kadir. (2006). Flow Computation and Mass Balance in Galerkin Finite-Element Groundwater Models. Journal of Hydraulic Engineering. 132(11). 1206–1214. 13 indexed citations
16.
Kavvas, M. L., Jaeyoung Yoon, Z. Q. Chen, et al.. (2006). Watershed Environmental Hydrology Model: Environmental Module and Its Application to a California Watershed. Journal of Hydrologic Engineering. 11(3). 261–272. 52 indexed citations
17.
Kavvas, M. L., Jaeyoung Yoon, Emin C. Dogrul, et al.. (2004). Geomorphologic and Soil Hydraulic Parameters for Watershed Environmental Hydrology (WEHY) Model. Journal of Hydrologic Engineering. 9(6). 465–479. 38 indexed citations
18.
Dogrul, Emin C., et al.. (1998). Prediction of Subsurface Stormflow in Heterogeneous Sloping Aquifers. Journal of Hydrologic Engineering. 3(4). 258–267. 11 indexed citations
19.
Dogrul, Emin C., M. L. Kavvas, & Zhiqiang Chen. (1998). Calculation of Subsurface Stormflow in Heterogeneous Sloping Aquifers. 21–26. 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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