Sanaz Imen

587 total citations
27 papers, 440 citations indexed

About

Sanaz Imen is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Sanaz Imen has authored 27 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 15 papers in Water Science and Technology and 12 papers in Environmental Engineering. Recurrent topics in Sanaz Imen's work include Hydrological Forecasting Using AI (7 papers), Hydrology and Watershed Management Studies (7 papers) and Water Quality Monitoring Technologies (7 papers). Sanaz Imen is often cited by papers focused on Hydrological Forecasting Using AI (7 papers), Hydrology and Watershed Management Studies (7 papers) and Water Quality Monitoring Technologies (7 papers). Sanaz Imen collaborates with scholars based in United States, Iran and Taiwan. Sanaz Imen's co-authors include Ni‐Bin Chang, Yanyan Yang, Kaixu Bai, Sara Nazif, Wei Gao, ‪Mohammad Karamouz, Chi-Farn Chen, G. Padmanabhan, Deva K. Borah and Ebrahim Ahmadisharaf and has published in prestigious journals such as Journal of Hydrology, Journal of Environmental Management and Remote Sensing.

In The Last Decade

Sanaz Imen

26 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sanaz Imen United States	12	204	171	137	66	61	27	440
Chuiqing Zeng Canada	13	120 0.6×	222 1.3×	166 1.2×	69 1.0×	61 1.0×	23	532
Jinyue Chen China	8	161 0.8×	82 0.5×	130 0.9×	78 1.2×	17 0.3×	26	413
Meiyan Gao China	7	157 0.8×	80 0.5×	72 0.5×	71 1.1×	19 0.3×	12	321
Liangzhi Li China	12	82 0.4×	100 0.6×	76 0.6×	32 0.5×	20 0.3×	33	409
Hongwei Guo China	11	318 1.6×	93 0.5×	169 1.2×	188 2.8×	18 0.3×	16	515
Huỳnh Vương Thu Minh Vietnam	15	268 1.3×	265 1.5×	175 1.3×	19 0.3×	46 0.8×	42	643
Yuntao Ye China	11	215 1.1×	51 0.3×	95 0.7×	29 0.4×	102 1.7×	32	390
Guanhua Zhou China	12	51 0.3×	93 0.5×	72 0.5×	42 0.6×	19 0.3×	44	369
Anoop Kumar Shukla India	14	198 1.0×	280 1.6×	159 1.2×	28 0.4×	35 0.6×	56	563
Gye-Woon Choi South Korea	14	173 0.8×	106 0.6×	73 0.5×	22 0.3×	106 1.7×	51	457

Countries citing papers authored by Sanaz Imen

Since Specialization

Citations

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

Fields of papers citing papers by Sanaz Imen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanaz Imen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Borah, Deva K., et al.. (2024). Total Maximum Daily Load Analysis and Modeling Advances: Connecting Climate Resilience, Socio-Environmental Systems, and Holistic Watershed Management. 1639–1652.

Lü, Qi, et al.. (2017). Linking socioeconomic development, sea level rise, and climate change impacts on urban growth in New York City with a fuzzy cellular automata-based Markov chain model. Environment and Planning B Urban Analytics and City Science. 46(3). 551–572. 17 indexed citations

Chang, Ni‐Bin, et al.. (2017). Multi-scale quantitative precipitation forecasting using nonlinear and nonstationary teleconnection signals and artificial neural network models. Journal of Hydrology. 548. 305–321. 14 indexed citations

Chang, Ni‐Bin, Sanaz Imen, Kaixu Bai, & Yanyan Yang. (2017). The impact of global unknown teleconnection patterns on terrestrial precipitation across North and Central America. Atmospheric Research. 193. 107–124. 6 indexed citations

Imen, Sanaz, et al.. (2016). Developing a Model-Based Drinking Water Decision Support System Featuring Remote Sensing and Fast Learning Techniques. IEEE Systems Journal. 12(2). 1358–1368. 23 indexed citations

Imen, Sanaz & Ni‐Bin Chang. (2016). Developing a cyber-physical system for smart and sustainable drinking water infrastructure management. Journal of International Crisis and Risk Communication Research. 12 indexed citations

Chang, Ni‐Bin, Kaixu Bai, Sanaz Imen, Chi-Farn Chen, & Wei Gao. (2016). Multisensor Satellite Image Fusion and Networking for All-Weather Environmental Monitoring. IEEE Systems Journal. 12(2). 1341–1357. 47 indexed citations

Imen, Sanaz, Ni‐Bin Chang, & Yanyan Yang. (2015). Developing the remote sensing-based early warning system for monitoring TSS concentrations in Lake Mead. Journal of Environmental Management. 160. 73–89. 46 indexed citations

Ding, Wei, et al.. (2015). TELECONNECTION SIGNALS EFFECT ON TERRESTRIAL PRECIPITATION: BIG DATA ANALYTICS VS. WAVELET ANALYSIS. 1 indexed citations

10.

Imen, Sanaz. (2015). Drinking Water Infrastructure Assessment with Teleconnection Signals, Satellite Data Fusion and Mining. Journal of International Crisis and Risk Communication Research. 2 indexed citations

11.

Chang, Ni‐Bin, et al.. (2014). Remote Sensing for Monitoring Surface Water Quality Status and Ecosystem State in Relation to the Nutrient Cycle: A 40-Year Perspective. Critical Reviews in Environmental Science and Technology. 45(2). 101–166. 90 indexed citations

12.

Imen, Sanaz, Ni‐Bin Chang, & Yanyan Yang. (2014). Spatiotemporal monitoring of TOC concentrations in lake mead with a near real-time multi-sensor network. Journal of International Crisis and Risk Communication Research. 3407–3412. 3 indexed citations

13.

Imen, Sanaz, Ni‐Bin Chang, & Yanyan Yang. (2014). MONITORING SPATIOTEMPORAL TOTAL ORGANIC CARBON CONCENTRATIONS IN LAKE MEAD WITH INTEGRATED DATA FUSION AND MINING (IDFM) TECHNIQUE. CUNY Academic Works (City University of New York). 7 indexed citations

14.

Chang, Ni‐Bin, et al.. (2014). Multisensor analysis of teleconnection signals in relation to terrestrial precipitation and forest greenness in North and Central America. Journal of International Crisis and Risk Communication Research. 21. 649–654. 1 indexed citations

15.

Chang, Ni‐Bin, et al.. (2014). Linkages between turbidity levels in Lake Mead associated forest fire events in the lower Virgin watershed. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9221. 92210D–92210D. 1 indexed citations

16.

Chang, Ni‐Bin, et al.. (2014). Global nonlinear and nonstationary climate change effects on regional precipitation and forest phenology in Panama, Central America. Hydrological Processes. 29(3). 339–355. 15 indexed citations

17.

Imen, Sanaz, Kaveh Madani, & Ni‐Bin Chang. (2012). Bringing Environmental Benefits into Caspian Sea Negotiations for Resources Allocation: Cooperative Game Theory Insights. World Environmental And Water Resources Congress 2012. 2264–2271. 7 indexed citations

18.

Karamouz, ‪Mohammad, Sanaz Imen, & Sara Nazif. (2011). Development of a Demand Driven Hydro-climatic Model for Drought Planning. Water Resources Management. 26(2). 329–357. 22 indexed citations

19.

Karamouz, ‪Mohammad, et al.. (2008). Evaluation of Uncertainties in Downscaling Precipitation Due to Climate Change Scenarios. World Environmental and Water Resources Congress 2008. 124. 1–8. 3 indexed citations

20.

Karamouz, ‪Mohammad, et al.. (2007). Assessment of Uncertainty in Flood Forecasting Using Downscaled Rainfall Data. World Environmental and Water Resources Congress 2007. 312. 1–12. 3 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.

Explore authors with similar magnitude of impact