Sepideh Karimi

2.1k total citations · 1 hit paper
45 papers, 1.4k citations indexed

About

Sepideh Karimi is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Sepideh Karimi has authored 45 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Environmental Engineering, 14 papers in Water Science and Technology and 13 papers in Global and Planetary Change. Recurrent topics in Sepideh Karimi's work include Hydrological Forecasting Using AI (16 papers), Hydrology and Watershed Management Studies (13 papers) and Soil and Unsaturated Flow (8 papers). Sepideh Karimi is often cited by papers focused on Hydrological Forecasting Using AI (16 papers), Hydrology and Watershed Management Studies (13 papers) and Soil and Unsaturated Flow (8 papers). Sepideh Karimi collaborates with scholars based in Iran, Georgia and Spain. Sepideh Karimi's co-authors include Jalal Shiri, Özgür Kişi, Chantal Richer, Daniel Sinnett, Damian Labuda, Maja Krajinović, Mohammad Javad Amiri, Amir Houshang Ehsani, Oleg Makarynskyy and Pau Martí and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Renewable and Sustainable Energy Reviews.

In The Last Decade

Sepideh Karimi

43 papers receiving 1.4k citations

Hit Papers

Optimization solar site selection by fuzzy logic model an... 2015 2026 2018 2022 2015 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Optimization solar site selection by fuzzy logic model and weighted linear combination method in arid and semi-arid region: A case study Isfahan-IRAN
    2015 196 citations Sepideh Karimi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sepideh Karimi Iran 21 576 343 342 265 189 45 1.4k
Xianqi Zhang China 22 388 0.7× 407 1.2× 403 1.2× 81 0.3× 221 1.2× 137 1.7k
Guomin Huang China 22 357 0.6× 670 2.0× 177 0.5× 228 0.9× 299 1.6× 64 1.9k
Honglu Liu China 24 232 0.4× 86 0.3× 197 0.6× 41 0.2× 344 1.8× 92 1.8k
Andreas Scheidegger Switzerland 29 551 1.0× 409 1.2× 619 1.8× 38 0.1× 101 0.5× 59 2.0k
Ahmad Fikri Abdullah Malaysia 21 429 0.7× 530 1.5× 443 1.3× 73 0.3× 25 0.1× 97 1.6k
Yujie He China 24 234 0.4× 526 1.5× 173 0.5× 129 0.5× 109 0.6× 65 2.0k
Jie Tian China 21 412 0.7× 872 2.5× 256 0.7× 44 0.2× 44 0.2× 74 1.8k
Zhixiao Xie United States 20 271 0.5× 443 1.3× 61 0.2× 139 0.5× 38 0.2× 37 2.1k
Fereydoon Sarmadian Iran 26 930 1.6× 280 0.8× 173 0.5× 374 1.4× 48 0.3× 97 2.3k
Kang Liu China 24 157 0.3× 380 1.1× 55 0.2× 108 0.4× 69 0.4× 153 1.8k

Countries citing papers authored by Sepideh Karimi

Since Specialization
Citations

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

Fields of papers citing papers by Sepideh Karimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sepideh Karimi

This figure shows the co-authorship network connecting the top 25 collaborators of Sepideh Karimi. A scholar is included among the top collaborators of Sepideh Karimi 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 Sepideh Karimi. Sepideh Karimi 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
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Karimi, Sepideh, et al.. (2025). Embryo-maternal cross-talk: key players in successful implantation and live birth rates. Reproductive Biology and Endocrinology. 23(1). 136–136. 2 indexed citations
4.
Kişi, Özgür, et al.. (2025). Towards seasonal-based assessment of machine learning models in river dissolved oxygen simulations with different flow ranges. ISH Journal of Hydraulic Engineering. 31(3). 461–482. 1 indexed citations
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Shiri, Jalal, et al.. (2024). Chronological assessment of heuristic data driven approaches for soil water content simulation in subsurface drip irrigated rice. The Science of The Total Environment. 955. 177193–177193.
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Shiri, Jalal, et al.. (2024). Analysis of factors affecting evapotranspiration zoning. Environmental Science and Pollution Research. 31(29). 42295–42313. 4 indexed citations
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Karimi, Sepideh, et al.. (2023). Machine Learning Approaches for Prediction of Daily River Flow. 12(4). 33–39. 2 indexed citations
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Shiri, Jalal, et al.. (2020). Prediction of groundwater level variations in coastal aquifers with tide and rainfall effects using heuristic data driven models. ISH Journal of Hydraulic Engineering. 28(sup1). 188–198. 11 indexed citations
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Karimi, Sepideh, Amir Hossein Nazemi, Ali Ashraf Sadraddini, et al.. (2020). Estimation of Forest Leaf Area Index Using Meteorological Data: Assessment of Heuristic Models. Journal of Environmental Informatics. 11 indexed citations
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Shiri, Jalal, et al.. (2020). Coupling wavelet transform with multivariate adaptive regression spline for simulating suspended sediment load: Independent testing approach. ISH Journal of Hydraulic Engineering. 28(sup1). 356–365. 17 indexed citations
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Shiri, Jalal, et al.. (2020). Simulating wetting front dimensions of drip irrigation systems: Multi criteria assessment of soft computing models. Journal of Hydrology. 585. 124792–124792. 42 indexed citations
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Shiri, Jalal, Pau Martí, Sepideh Karimi, & Gorka Landeras. (2019). Data splitting strategies for improving data driven models for reference evapotranspiration estimation among similar stations. Computers and Electronics in Agriculture. 162. 70–81. 42 indexed citations
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Karimi, Sepideh, et al.. (2018). Forecasting monthly streamflows using heuristic models. ISH Journal of Hydraulic Engineering. 27(1). 73–78. 6 indexed citations
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Kişi, Özgür, Jalal Shiri, Sepideh Karimi, et al.. (2015). A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm. Applied Mathematics and Computation. 270. 731–743. 90 indexed citations
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Karimi, Sepideh, et al.. (2015). Short-term and long-term streamflow prediction by using 'wavelet–gene expression' programming approach. ISH Journal of Hydraulic Engineering. 22(2). 148–162. 41 indexed citations
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Karimi, Sepideh, et al.. (2012). Using KPIs for Strategic Management of IT in Mellat Bank. SHILAP Revista de lepidopterología. -16(8). 47–60. 1 indexed citations
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Ebrahimi‬, Ataollah, et al.. (2007). Drug resistance in isolated bacteria from milk of sheep and goats with subclinical mastitis in Shahrekord district. Majallah-i taḥqīqāt-i dāmpizishkī-i īrān. 8(1). 76–79. 16 indexed citations
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Karimi, Sepideh, et al.. (1996). Application of Biopolymer Technology in Silty Soil Matrices to Form Impervious Barriers. 814. 42 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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