So Ra Ahn

436 total citations
26 papers, 353 citations indexed

About

So Ra Ahn is a scholar working on Water Science and Technology, Environmental Engineering and Environmental Chemistry. According to data from OpenAlex, So Ra Ahn has authored 26 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Water Science and Technology, 12 papers in Environmental Engineering and 8 papers in Environmental Chemistry. Recurrent topics in So Ra Ahn's work include Hydrology and Watershed Management Studies (22 papers), Soil and Water Nutrient Dynamics (8 papers) and Hydrological Forecasting Using AI (7 papers). So Ra Ahn is often cited by papers focused on Hydrology and Watershed Management Studies (22 papers), Soil and Water Nutrient Dynamics (8 papers) and Hydrological Forecasting Using AI (7 papers). So Ra Ahn collaborates with scholars based in South Korea and United States. So Ra Ahn's co-authors include Seong‐Joon Kim, Zhuping Sheng, ‪Eun‐Sung Chung, Yeonjoo Kim, Ali Mirchi, Shalamu Abudu, Jong-Yoon Park, Hyeon-Jun Kim, Jiwan Lee and Sang Ho Kim and has published in prestigious journals such as Sustainability, Hydrology and earth system sciences and Agricultural Water Management.

In The Last Decade

So Ra Ahn

24 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
So Ra Ahn South Korea 10 282 162 102 81 70 26 353
Moges B. Wagena United States 9 245 0.9× 143 0.9× 117 1.1× 110 1.4× 41 0.6× 10 368
So-Ra Ahn South Korea 10 243 0.9× 167 1.0× 90 0.9× 63 0.8× 49 0.7× 16 343
Griet Heuvelmans Belgium 8 281 1.0× 188 1.2× 152 1.5× 73 0.9× 38 0.5× 10 379
Rituraj Shukla Canada 11 263 0.9× 154 1.0× 92 0.9× 78 1.0× 42 0.6× 33 379
Tracy Baker United States 5 336 1.2× 320 2.0× 126 1.2× 40 0.5× 46 0.7× 7 466
José Nilson Beserra Campos Brazil 10 203 0.7× 132 0.8× 47 0.5× 36 0.4× 114 1.6× 52 371
Faith Githui Australia 7 327 1.2× 278 1.7× 86 0.8× 29 0.4× 50 0.7× 15 389
Jon Franczyk United States 5 277 1.0× 298 1.8× 99 1.0× 39 0.5× 64 0.9× 8 418
Nien-Ming Hong Taiwan 6 193 0.7× 221 1.4× 69 0.7× 49 0.6× 26 0.4× 7 317
K. Fleischbein Germany 5 195 0.7× 186 1.1× 65 0.6× 79 1.0× 21 0.3× 6 353

Countries citing papers authored by So Ra Ahn

Since Specialization
Citations

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

Fields of papers citing papers by So Ra Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by So Ra Ahn. 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 So Ra Ahn. The network helps show where So Ra Ahn may publish in the future.

Co-authorship network of co-authors of So Ra Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of So Ra Ahn. A scholar is included among the top collaborators of So Ra Ahn 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 So Ra Ahn. So Ra Ahn 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.
Ahn, So Ra & Zhuping Sheng. (2020). Assessment of Water Availability and Scarcity Based on Hydrologic Components in an Irrigated Agricultural Watershed Using SWAT. JAWRA Journal of the American Water Resources Association. 57(1). 186–203. 10 indexed citations
2.
Ahn, So Ra, Shalamu Abudu, Zhuping Sheng, & Ali Mirchi. (2018). Hydrologic impacts of drought-adaptive agricultural water management in a semi-arid river basin: Case of Rincon Valley, New Mexico. Agricultural Water Management. 209. 206–218. 28 indexed citations
3.
Ahn, So Ra & Seong‐Joon Kim. (2018). Analysis of water balance by surface–groundwater interaction using the SWAT model for the Han River basin, South Korea. Paddy and Water Environment. 16(3). 543–560. 8 indexed citations
4.
Ahn, So Ra & Seong‐Joon Kim. (2017). Assessment of integrated watershed health based on the natural environment, hydrology, water quality, and aquatic ecology. Hydrology and earth system sciences. 21(11). 5583–5602. 49 indexed citations
5.
Ahn, So Ra, et al.. (2016). Evaluation of executable best management practices in Haean highland agricultural catchment of South Korea using SWAT. Agricultural Water Management. 180. 224–234. 53 indexed citations
6.
Kim, Hyeon-Jun, et al.. (2016). Assessment of hydrological changes in a river basin as affected by climate change and water management practices, by using the cat model. Irrigation and Drainage. 65(S2). 26–35. 6 indexed citations
7.
Ahn, So Ra, et al.. (2016). Estimation of spatial evapotranspiration using Terra MODIS satellite image and SEBAL model in mixed forest and rice paddy area. Journal of Korea Water Resources Association. 49(3). 227–239. 4 indexed citations
8.
Ahn, So Ra, et al.. (2016). Large Scale SWAT Watershed Modeling Considering Multi-purpose Dams and Multi-function Weirs Operation - For Namhan River Basin -. Journal of The Korean Society of Agricultural Engineers. 58(4). 21–35. 6 indexed citations
9.
Ahn, So Ra, et al.. (2016). Hydrologic Evaluation of River Basin Scale Tillage Effects on Non‐Point Source Loads from Upland Crop Areas. Irrigation and Drainage. 65(S2). 200–208. 2 indexed citations
10.
Ahn, So Ra. (2015). Extraction of Heavy Snowfall Vulnerable Area for 3 Representative Facilities Using GIS and Remote Sensing Techniques. Journal of the Korean Association of Geographic Information Studies. 18(1). 1–12. 2 indexed citations
11.
Ahn, So Ra, et al.. (2015). Hourly SWAT Watershed Modeling for Analyzing Reduction Effect of Nonpoint Source Pollution Discharge Loads. Journal of The Korean Society of Agricultural Engineers. 57(1). 89–97. 1 indexed citations
12.
13.
Ahn, So Ra, et al.. (2014). Evaluation of Future Turbidity Water and Eutrophication in Chungju Lake by Climate Change Using CE-QUAL-W2. Journal of Korea Water Resources Association. 47(2). 145–159. 9 indexed citations
14.
Ahn, So Ra, et al.. (2013). Assessment of Climate Change Impact on Evapotranspiration and Soil Moisture in a Mixed Forest Catchment Using Spatially Calibrated SWAT Model. Journal of Korea Water Resources Association. 46(6). 569–583. 9 indexed citations
15.
Ahn, So Ra, et al.. (2013). Discussion for the Effectiveness of Radar Data through Distributed Storm Runoff Modeling. Journal of The Korean Society of Agricultural Engineers. 55(6). 19–30. 4 indexed citations
16.
Park, Jong-Yoon, et al.. (2013). Evaluation of mixed forest evapotranspiration and soil moisture using measured and swat simulated results in a hillslope watershed. KSCE Journal of Civil Engineering. 18(1). 315–322. 16 indexed citations
17.
Ahn, So Ra, et al.. (2013). HSPF and SWAT Modelling for Identifying Runoff Reduction Effect of Nonpoint Source Pollution by Rice Straw Mulching on Upland Crops. Journal of The Korean Society of Agricultural Engineers. 55(2). 47–57. 5 indexed citations
18.
Ahn, So Ra, et al.. (2013). Evaluation of Suspended Solids and Eutrophication in Chungju Lake Using CE-QUAL-W2. Journal of Korea Water Resources Association. 46(11). 1115–1128. 7 indexed citations
19.
Ahn, So Ra, et al.. (2013). Assessment of Agricultural Water Supply Capacity Using MODSIM-DSS Coupled with SWAT. Journal of the Korean Society of Civil Engineers. 33(2). 507–519. 9 indexed citations
20.
Ahn, So Ra, et al.. (2008). Analysis of Future Land Use and Climate Change Impact on Stream Discharge. 28. 215–224. 2 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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