Ather Abbas

1.2k total citations
34 papers, 904 citations indexed

About

Ather Abbas is a scholar working on Water Science and Technology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Ather Abbas has authored 34 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Water Science and Technology, 18 papers in Environmental Engineering and 8 papers in Global and Planetary Change. Recurrent topics in Ather Abbas's work include Hydrological Forecasting Using AI (14 papers), Hydrology and Watershed Management Studies (11 papers) and Flood Risk Assessment and Management (8 papers). Ather Abbas is often cited by papers focused on Hydrological Forecasting Using AI (14 papers), Hydrology and Watershed Management Studies (11 papers) and Flood Risk Assessment and Management (8 papers). Ather Abbas collaborates with scholars based in South Korea, Saudi Arabia and United States. Ather Abbas's co-authors include Kyung Hwa Cho, Zeeshan Haider Jaffari, Kangmin Chon, Sanghun Park, Kwanho Jeong, Sang‐Soo Baek, Sze–Mun Lam, Jingyeong Shin, Young Mo Kim and Moon Son and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Water Research.

In The Last Decade

Ather Abbas

32 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ather Abbas South Korea	18	317	212	209	202	156	34	904
Enas E. Hussein Egypt	24	340 1.1×	298 1.4×	139 0.7×	292 1.4×	71 0.5×	51	1.3k
Nuruol Syuhadaa Mohd Malaysia	20	712 2.2×	336 1.6×	84 0.4×	165 0.8×	122 0.8×	38	1.4k
Shikha Gupta India	14	567 1.8×	366 1.7×	94 0.4×	145 0.7×	195 1.3×	16	1.3k
Huang‐Mu Lo Taiwan	19	211 0.7×	195 0.9×	75 0.4×	191 0.9×	306 2.0×	58	1.1k
Shuili Yu China	13	405 1.3×	108 0.5×	135 0.6×	158 0.8×	120 0.8×	38	833
Siyan Liu China	18	200 0.6×	92 0.4×	88 0.4×	115 0.6×	87 0.6×	94	922
Dominic L. Boccelli United States	19	796 2.5×	397 1.9×	303 1.4×	90 0.4×	168 1.1×	69	1.7k
Majid Ehteshami Iran	20	586 1.8×	365 1.7×	91 0.4×	63 0.3×	285 1.8×	68	1.2k
Maryam Pazoki Iran	16	248 0.8×	80 0.4×	197 0.9×	47 0.2×	114 0.7×	58	917

Countries citing papers authored by Ather Abbas

Since Specialization

Citations

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

Fields of papers citing papers by Ather Abbas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ather Abbas

This figure shows the co-authorship network connecting the top 25 collaborators of Ather Abbas. A scholar is included among the top collaborators of Ather Abbas 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 Ather Abbas. Ather Abbas 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

Abbas, Ather, et al.. (2025). Assessment and future projections of groundwater depletion and seawater intrusion in the coastal aquifers of Karachi. Journal of Hydrology Regional Studies. 62. 102962–102962.

Song, Yalan, Tadd Bindas, Chaopeng Shen, et al.. (2025). Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning. Nature Communications. 16(1). 9169–9169.

Abbas, Ather, et al.. (2024). Spatial prediction of groundwater salinity in multiple aquifers of the Mekong Delta region using explainable machine learning models. Water Research. 266. 122404–122404. 10 indexed citations

Sultan, Khawar, et al.. (2024). Adsorption of Cr(VI) ions onto fluorine-free niobium carbide (MXene) and machine learning prediction with high precision. Journal of environmental chemical engineering. 12(2). 112238–112238. 21 indexed citations

Jaffari, Zeeshan Haider, et al.. (2024). Digital imaging-in-flow (FlowCAM) and probabilistic machine learning to assess the sonolytic disinfection of cyanobacteria in sewage wastewater. Journal of Hazardous Materials. 468. 133762–133762. 17 indexed citations

Lam, Sze–Mun, et al.. (2024). Probabilistic prediction of phosphate ion adsorption onto biochar materials using a large dataset and online deployment. Chemosphere. 370. 144031–144031. 5 indexed citations

Jang, Jiyi, Ather Abbas, Hye‐In Kim, et al.. (2023). Prediction and interpretation of pathogenic bacteria occurrence at a recreational beach using data-driven algorithms. Ecological Informatics. 78. 102370–102370. 7 indexed citations

Abbas, Ather, Minji Park, Sang‐Soo Baek, & Kyung Hwa Cho. (2023). Deep learning-based algorithms for long-term prediction of chlorophyll-a in catchment streams. Journal of Hydrology. 626. 130240–130240. 32 indexed citations

Khan, Muhammad Burhan, et al.. (2023). Artificial neural networks for insights into adsorption capacity of industrial dyes using carbon-based materials. Separation and Purification Technology. 326. 124891–124891. 30 indexed citations

10.

Hong, Seok Min, Ather Abbas, Soobin Kim, et al.. (2023). Autonomous calibration of EFDC for predicting chlorophyll-a using reinforcement learning and a real-time monitoring system. Environmental Modelling & Software. 168. 105805–105805. 23 indexed citations

11.

Pyo, JongCheol, Yakov Pachepsky, Soobin Kim, et al.. (2023). Long short-term memory models of water quality in inland water environments. Water Research X. 21. 100207–100207. 39 indexed citations

12.

Jaffari, Zeeshan Haider, Ather Abbas, Chang‐Min Kim, et al.. (2023). Transformer-based deep learning models for adsorption capacity prediction of heavy metal ions toward biochar-based adsorbents. Journal of Hazardous Materials. 462. 132773–132773. 67 indexed citations

13.

Abbas, Ather, Laurie Boithias, Yakov Pachepsky, et al.. (2022). AI4Water v1.0: an open-source python package for modeling hydrological time series using data-driven methods. Geoscientific model development. 15(7). 3021–3039. 22 indexed citations

14.

Son, Moon, Nakyung Yoon, Sanghun Park, Ather Abbas, & Kyung Hwa Cho. (2022). An open-source deep learning model for predicting effluent concentration in capacitive deionization. The Science of The Total Environment. 856(Pt 2). 159158–159158. 25 indexed citations

15.

Abbas, Ather, Laurie Boithias, Yakov Pachepsky, et al.. (2021). AI4Water v1.0: An open source python package for modeling hydrological time series using data-driven methods. 2 indexed citations

16.

Jang, Jiyi, Ather Abbas, Minjeong Kim, et al.. (2021). Prediction of antibiotic-resistance genes occurrence at a recreational beach with deep learning models. Water Research. 196. 117001–117001. 39 indexed citations

17.

Abbas, Ather, Sang‐Soo Baek, Norbert Silvera, et al.. (2021). In-stream Escherichia coli modeling using high-temporal-resolution data with deep learning and process-based models. Hydrology and earth system sciences. 25(12). 6185–6202. 12 indexed citations

18.

Abbas, Ather, Sang‐Soo Baek, Norbert Silvera, et al.. (2021). In-stream Escherichia Coli Modeling Using high-temporal-resolution data with deep learning and process-based models. 3 indexed citations

19.

Jeong, Kwanho, Ather Abbas, Jingyeong Shin, et al.. (2021). Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning models. Water Research. 205. 117697–117697. 75 indexed citations

20.

Abbas, Ather, et al.. (2020). Emotions Recognition from Human Facial Images Using Machine Learning Technique. Solid State Technology. 63(4). 8781–8793. 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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