Latif Kalin

3.6k total citations
109 papers, 2.8k citations indexed

About

Latif Kalin is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Latif Kalin has authored 109 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Water Science and Technology, 38 papers in Environmental Engineering and 38 papers in Global and Planetary Change. Recurrent topics in Latif Kalin's work include Hydrology and Watershed Management Studies (87 papers), Soil and Water Nutrient Dynamics (33 papers) and Flood Risk Assessment and Management (27 papers). Latif Kalin is often cited by papers focused on Hydrology and Watershed Management Studies (87 papers), Soil and Water Nutrient Dynamics (33 papers) and Flood Risk Assessment and Management (27 papers). Latif Kalin collaborates with scholars based in United States, China and Türkiye. Latif Kalin's co-authors include Navideh Noori, Mohamed M. Hantush, Puneet Srivastava, Ruoyu Wang, Sabahattin Işık, B. Graeme Lockaby, Christopher Anderson, Rewati Niraula, Mehdi Rezaeianzadeh and Jon E. Schoonover and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Global Change Biology.

In The Last Decade

Latif Kalin

105 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Latif Kalin United States	27	1.9k	1.3k	1.1k	514	437	109	2.8k
Prasad Daggupati Canada	29	1.9k 1.0×	1.3k 1.0×	807 0.7×	562 1.1×	673 1.5×	106	2.7k
Daniel R. Fuka United States	21	1.3k 0.7×	828 0.7×	481 0.4×	441 0.9×	416 1.0×	38	1.8k
Fred F. Hattermann Germany	37	2.7k 1.4×	2.5k 2.0×	506 0.4×	467 0.9×	326 0.7×	121	4.0k
Zachary M. Easton United States	36	2.7k 1.4×	1.4k 1.1×	1.0k 0.9×	1.5k 2.8×	1.3k 2.9×	108	4.1k
Baolin Xue China	30	1.3k 0.7×	1.5k 1.2×	1.1k 1.0×	253 0.5×	280 0.6×	97	3.2k
Depeng Zuo China	27	1.4k 0.7×	1.4k 1.1×	475 0.4×	153 0.3×	275 0.6×	66	2.2k
Erin Brooks United States	27	1.4k 0.7×	802 0.6×	574 0.5×	505 1.0×	809 1.9×	93	2.3k
Narayanan Kannan United States	21	3.5k 1.8×	2.0k 1.6×	1.2k 1.0×	925 1.8×	984 2.3×	60	4.0k
J. R. Arnold United States	30	2.4k 1.2×	2.4k 1.9×	932 0.8×	283 0.6×	285 0.7×	80	3.7k
N. S. Raghuwanshi India	29	1.4k 0.7×	1.7k 1.4×	1.1k 0.9×	141 0.3×	912 2.1×	82	3.0k

Countries citing papers authored by Latif Kalin

Since Specialization

Citations

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

Fields of papers citing papers by Latif Kalin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Latif Kalin. 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 Latif Kalin. The network helps show where Latif Kalin may publish in the future.

Co-authorship network of co-authors of Latif Kalin

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

All Works

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20 of 20 papers shown

Yan, Hua, Latif Kalin, Hui Peng, et al.. (2025). Agricultural nitrogen loss and downstream effects in the transboundary La Plata basin driven by soybean rotations. Journal of Environmental Management. 380. 125159–125159.

Kalin, Latif, et al.. (2025). Dynamic land-use/cover improves simulations of long-term watershed-scale streamflow and water quality trends. Journal of Hydrology. 661. 133744–133744.

Liu, Yang, et al.. (2024). Marine aquaculture spatial planning on market orientation for Pacific oyster in Shandong, China. Aquaculture. 591. 741144–741144. 5 indexed citations

Kalin, Latif, et al.. (2024). Improved forest canopy evaporation leads to better predictions of ecohydrological processes. Ecological Modelling. 489. 110620–110620. 5 indexed citations

Kalin, Latif, et al.. (2023). How wide is the problem? Leveraging alternative data sources to enhance channel width representation in watershed modeling. Environmental Modelling & Software. 172. 105935–105935. 2 indexed citations

Tassi, Rutinéia, et al.. (2023). Wildlife Roadkill Driven by Hydrological Regime in a Subtropical Wetland. Water. 15(24). 4307–4307.

Dai, Qiang, Guonian Lv, Latif Kalin, et al.. (2023). Radar remote sensing reveals potential underestimation of rainfall erosivity at the global scale. Science Advances. 9(32). eadg5551–eadg5551. 19 indexed citations

Dwivedi, Puneet, et al.. (2023). Potential impacts of land use change on streamflow and groundwater resources under changing climate in the Flint River Basin, Georgia, United States. Environmental Research Communications. 5(9). 95010–95010. 2 indexed citations

Bian, Zihao, Hanqin Tian, Shufen Pan, et al.. (2023). Soil legacy nutrients contribute to the decreasing stoichiometric ratio of N and P loading from the Mississippi River Basin. Global Change Biology. 29(24). 7145–7158. 7 indexed citations

10.

Işık, Sabahattin, et al.. (2023). Nutrient Removal Potential of Headwater Wetlands in Coastal Plains of Alabama, USA. Water. 15(15). 2687–2687. 2 indexed citations

11.

Jiang, Meng, Hui Peng, Shengkang Liang, et al.. (2023). Impact of extreme rainfall on non-point source nitrogen loss in coastal basins of Laizhou Bay, China. The Science of The Total Environment. 881. 163427–163427. 8 indexed citations

12.

Tian, Di, Xiaogang He, Puneet Srivastava, & Latif Kalin. (2021). A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information. Stochastic Environmental Research and Risk Assessment. 36(8). 2353–2375. 33 indexed citations

13.

Wang, Fang, et al.. (2021). Deep Learning for Daily Precipitation and Temperature Downscaling. Water Resources Research. 57(4). 132 indexed citations

14.

Kalin, Latif, et al.. (2021). Improving the representation of forests in hydrological models. The Science of The Total Environment. 812. 151425–151425. 33 indexed citations

15.

Kalin, Latif, et al.. (2020). A secondary assessment of sediment trapping effectiveness by vegetated buffers. Ecological Engineering. 159. 106094–106094. 18 indexed citations

16.

Ramesh, R., et al.. (2020). Challenges Calibrating Hydrology for Groundwater-Fed Wetlands: a Headwater Wetland Case Study. Environmental Modeling & Assessment. 25(3). 355–371. 4 indexed citations

17.

Yen, Haw, Seonggyu Park, Jeffrey G. Arnold, et al.. (2019). IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+. Water. 11(8). 1681–1681. 44 indexed citations

18.

Wang, Ruoyu & Latif Kalin. (2017). Combined and synergistic effects of climate change and urbanization on water quality in the Wolf Bay watershed, southern Alabama. Journal of Environmental Sciences. 64. 107–121. 61 indexed citations

19.

Sharifi, Amirreza, et al.. (2016). Using multiple watershed models to assess the water quality impacts of alternate land development scenarios for a small community. CATENA. 150. 87–99. 17 indexed citations

20.

Nagy, R. Chelsea, B. Graeme Lockaby, Latif Kalin, & Chris Anderson. (2011). Effects of urbanization on stream hydrology and water quality: the Florida Gulf Coast. Hydrological Processes. 26(13). 2019–2030. 85 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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