Sayed M. Bateni

5.1k total citations · 4 hit papers
158 papers, 3.7k citations indexed

About

Sayed M. Bateni is a scholar working on Global and Planetary Change, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Sayed M. Bateni has authored 158 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Global and Planetary Change, 78 papers in Environmental Engineering and 45 papers in Atmospheric Science. Recurrent topics in Sayed M. Bateni's work include Hydrology and Watershed Management Studies (37 papers), Hydrological Forecasting Using AI (33 papers) and Plant Water Relations and Carbon Dynamics (31 papers). Sayed M. Bateni is often cited by papers focused on Hydrology and Watershed Management Studies (37 papers), Hydrological Forecasting Using AI (33 papers) and Plant Water Relations and Carbon Dynamics (31 papers). Sayed M. Bateni collaborates with scholars based in United States, South Korea and Iran. Sayed M. Bateni's co-authors include Dong‐Sheng Jeng, Changhyun Jun, Dara Entekhabi, Roohollah Noori, Tongren Xu, Seyed Mehdi Borghei, Essam Heggy, Shahab S. Band, Mohammad Valipour and Soroush Abolfathi and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Sayed M. Bateni

150 papers receiving 3.6k citations

Hit Papers

align trajectories

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.

Decline in Iran’s groundwater recharge

2023 102 citations Roohollah Noori, Sayed M. Bateni et al. profile →
Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem

2024 87 citations Mehran Mahdian, Roohollah Noori et al. Journal of Geophysical Research Atmospheres profile →
Predicting Chlorophyll-a Concentrations in the World’s Largest Lakes Using Kolmogorov-Arnold Networks

2025 32 citations Roohollah Noori, Changhyun Jun et al. profile →
Environmental controls on the conversion of nutrients to chlorophyll in lakes

2025 20 citations Roohollah Noori, Dongkyun Kim et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sayed M. Bateni United States	35	1.5k	1.5k	954	788	734	158	3.7k
Manish Kumar Goyal India	39	1.2k 0.8×	2.4k 1.7×	1.4k 1.5×	975 1.2×	355 0.5×	144	4.3k
Ahmad Sharafati Iran	32	1.5k 1.0×	1.4k 1.0×	1.4k 1.5×	423 0.5×	603 0.8×	137	3.5k
T. I. Eldho India	36	1.2k 0.8×	1.6k 1.1×	1.5k 1.6×	363 0.5×	899 1.2×	231	4.4k
Chunlin Huang China	37	992 0.7×	1.5k 1.1×	744 0.8×	1.2k 1.5×	362 0.5×	232	4.2k
Amin Elshorbagy Canada	35	1.5k 1.0×	1.5k 1.0×	2.0k 2.0×	468 0.6×	492 0.7×	95	3.4k
Mac McKee United States	32	1.8k 1.2×	1.0k 0.7×	969 1.0×	295 0.4×	365 0.5×	111	3.4k
Ioannis K. Tsanis Canada	39	1.5k 1.0×	2.2k 1.5×	1.7k 1.8×	985 1.3×	321 0.4×	166	5.0k
Mojtaba Sadegh United States	37	987 0.7×	3.0k 2.0×	1.5k 1.6×	976 1.2×	522 0.7×	113	5.2k
Karsten Schulz Austria	32	1.6k 1.1×	2.0k 1.3×	1.9k 2.0×	1.1k 1.4×	227 0.3×	120	4.0k
Asaad Y. Shamseldin New Zealand	36	2.4k 1.6×	2.3k 1.6×	2.4k 2.5×	580 0.7×	1.0k 1.4×	182	4.8k

Countries citing papers authored by Sayed M. Bateni

Since Specialization

Citations

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

Fields of papers citing papers by Sayed M. Bateni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sayed M. Bateni. 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 Sayed M. Bateni. The network helps show where Sayed M. Bateni may publish in the future.

Co-authorship network of co-authors of Sayed M. Bateni

This figure shows the co-authorship network connecting the top 25 collaborators of Sayed M. Bateni. A scholar is included among the top collaborators of Sayed M. Bateni 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 Sayed M. Bateni. Sayed M. Bateni 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

Khosravi, Khabat, et al.. (2025). River total dissolved gas prediction using a hybrid greedy-stepwise feature selection and bidirectional long short-term memory model. Ecological Informatics. 90. 103191–103191. 1 indexed citations

Khosravi, Khabat, Sayed M. Bateni, Dongkyun Kim, et al.. (2025). Assessing Pan-Canada wildfire susceptibility by integrating satellite data with novel hybrid deep learning and black widow optimizer algorithms. The Science of The Total Environment. 977. 179369–179369. 3 indexed citations

Noori, Roohollah, Sayed M. Bateni, Changhyun Jun, et al.. (2025). Pivotal role of snow depth, local atmospheric conditions, and large-scale climate signals on ice thinning in Finnish lakes. The Science of The Total Environment. 966. 178715–178715. 8 indexed citations

Noori, Roohollah, Changhyun Jun, Sayed M. Bateni, et al.. (2025). New insights on biomass production in lakes: Integration of Carlson trophic state index and vertically generalized production model. Ecological Indicators. 174. 113450–113450. 5 indexed citations

Xu, Tongren, Shaomin Liu, Dongkyun Kim, et al.. (2025). Estimation and mechanism analysis of global evapotranspiration based on a physics-informed deep-learning model. Journal of Hydrology. 664. 134351–134351.

Janizadeh, Saeid, et al.. (2024). Estimating equilibrium scour depth around non-circular bridge piers using interpretable hybrid machine learning models. Ocean Engineering. 312. 119246–119246. 8 indexed citations

Xu, Tongren, Wenjie Yin, Sayed M. Bateni, et al.. (2024). A machine learning downscaling framework based on a physically constrained sliding window technique for improving resolution of global water storage anomaly. Remote Sensing of Environment. 313. 114359–114359. 18 indexed citations

Kim, Dongkyun, et al.. (2024). Incorporation of water quality index models with machine learning-based techniques for real-time assessment of aquatic ecosystems. Environmental Pollution. 355. 124242–124242. 53 indexed citations

Janizadeh, Saeid, et al.. (2024). Predicting equilibrium scour depth around non-circular bridge piers with shallow foundations using hybrid explainable machine learning methods. Results in Engineering. 24. 103492–103492. 4 indexed citations

10.

Mahdian, Mehran, Roohollah Noori, Mazaher Salamat‐Talab, et al.. (2024). Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem. Journal of Geophysical Research Atmospheres. 129(4). 87 indexed citations breakdown →

11.

Karbasi, Masoud, Mumtaz Ali, Sayed M. Bateni, et al.. (2024). Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm. Scientific Reports. 14(1). 15051–15051. 7 indexed citations

12.

Janizadeh, Saeid, Sayed M. Bateni, Changhyun Jun, et al.. (2024). Advancing the LightGBM approach with three novel nature-inspired optimizers for predicting wildfire susceptibility in Kauaʻi and Molokaʻi Islands, Hawaii. Expert Systems with Applications. 258. 124963–124963. 9 indexed citations

13.

Jun, Changhyun, et al.. (2024). Daily runoff forecasting using novel optimized machine learning methods. Results in Engineering. 24. 103319–103319. 5 indexed citations

14.

Jun, Changhyun, Dongkyun Kim, Sayed M. Bateni, et al.. (2024). Prediction of earth-fissure hazards: Unraveling the crucial roles of land use and groundwater fluctuations. Environmental Impact Assessment Review. 110. 107692–107692. 2 indexed citations

15.

Mao, Kebiao, et al.. (2024). Review of GNSS-R Technology for Soil Moisture Inversion. Remote Sensing. 16(7). 1193–1193. 10 indexed citations

16.

Mao, Kebiao, et al.. (2024). A normal form for synchronous land surface temperature and emissivity retrieval using deep learning coupled physical and statistical methods. International Journal of Applied Earth Observation and Geoinformation. 127. 103704–103704. 5 indexed citations

17.

Valipour, Mohammad, et al.. (2023). Machine-learning-based short-term forecasting of daily precipitation in different climate regions across the contiguous United States. Expert Systems with Applications. 238. 121907–121907. 13 indexed citations

18.

Rezaie, Fatemeh, Mahdi Panahi, Sayed M. Bateni, et al.. (2023). Development of novel optimized deep learning algorithms for wildfire modeling: A case study of Maui, Hawai‘i. Engineering Applications of Artificial Intelligence. 125. 106699–106699. 11 indexed citations

19.

Noori, Roohollah, Essam Heggy, Sayed M. Bateni, et al.. (2023). A water quality database for global lakes. Resources Conservation and Recycling. 202. 107401–107401. 53 indexed citations

20.

Band, Shahab S., Essam Heggy, Sayed M. Bateni, et al.. (2021). Groundwater level prediction in arid areas using wavelet analysis and Gaussian process regression. Engineering Applications of Computational Fluid Mechanics. 15(1). 1147–1158. 72 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