Quoc Bao Pham

11.3k total citations · 4 hit papers
236 papers, 8.4k citations indexed

About

Quoc Bao Pham is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Quoc Bao Pham has authored 236 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Global and Planetary Change, 103 papers in Water Science and Technology and 98 papers in Environmental Engineering. Recurrent topics in Quoc Bao Pham's work include Flood Risk Assessment and Management (91 papers), Hydrology and Watershed Management Studies (87 papers) and Hydrological Forecasting Using AI (62 papers). Quoc Bao Pham is often cited by papers focused on Flood Risk Assessment and Management (91 papers), Hydrology and Watershed Management Studies (87 papers) and Hydrological Forecasting Using AI (62 papers). Quoc Bao Pham collaborates with scholars based in Vietnam, China and India. Quoc Bao Pham's co-authors include Nguyễn Thị Thùy Linh, Romulus Costache, Duong Tran Anh, Jana Vojteková, Matej Vojtek, Sk Ajim Ali, Sani I. Abba, Babak Mohammadi, Abu Reza Md. Towfiqul Islam and Swapan Talukdar and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Quoc Bao Pham

226 papers receiving 8.2k 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.

Flood susceptibility modelling using advanced ensemble machine learning models

2020 398 citations Abu Reza Md. Towfiqul Islam, Swapan Talukdar et al. profile →
Fluoride contamination, health problems and remediation methods in Asian groundwater: A comprehensive review

2019 309 citations Quoc Bao Pham et al. profile →
Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area

2021 223 citations Meriame Mohajane, Romulus Costache et al. Ecological Indicators profile →
Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees

2021 198 citations Romulus Costache, Hossein Shafizadeh‐Moghadam et al. Geocarto International profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Quoc Bao Pham Vietnam	50	4.6k	3.2k	3.2k	1.3k	1.1k	236	8.4k
Subodh Chandra Pal India	54	4.0k 0.9×	2.9k 0.9×	3.0k 1.0×	1.4k 1.1×	822 0.8×	296	8.5k
Khabat Khosravi Iran	47	5.4k 1.2×	3.3k 1.0×	3.2k 1.0×	2.4k 1.9×	1.2k 1.1×	112	8.7k
Ronny Berndtsson Sweden	53	3.5k 0.8×	3.3k 1.0×	3.1k 1.0×	418 0.3×	1.4k 1.3×	374	9.0k
Nadhir Al‐Ansari Sweden	64	5.5k 1.2×	4.9k 1.5×	5.0k 1.6×	1.5k 1.2×	1.4k 1.3×	769	16.6k
Omid Rahmati Iran	48	5.7k 1.2×	3.5k 1.1×	4.2k 1.3×	1.7k 1.4×	927 0.9×	81	8.8k
Romulus Costache Romania	45	4.6k 1.0×	2.5k 0.8×	2.0k 0.6×	1.4k 1.1×	918 0.9×	132	6.3k
Sudhir Kumar Singh India	54	3.8k 0.8×	3.7k 1.2×	4.4k 1.4×	606 0.5×	923 0.9×	323	9.5k
Assefa M. Melesse United States	60	5.7k 1.2×	6.2k 1.9×	3.6k 1.2×	930 0.7×	1.1k 1.1×	255	11.3k
Vahid Nourani Iran	52	3.7k 0.8×	4.7k 1.5×	6.0k 1.9×	324 0.3×	1.0k 1.0×	298	9.8k
Ahmed Elbeltagi Egypt	44	2.6k 0.6×	2.3k 0.7×	2.6k 0.8×	293 0.2×	522 0.5×	222	6.0k

Countries citing papers authored by Quoc Bao Pham

Since Specialization

Citations

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

Fields of papers citing papers by Quoc Bao Pham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quoc Bao Pham. 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 Quoc Bao Pham. The network helps show where Quoc Bao Pham may publish in the future.

Co-authorship network of co-authors of Quoc Bao Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Quoc Bao Pham. A scholar is included among the top collaborators of Quoc Bao Pham 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 Quoc Bao Pham. Quoc Bao Pham 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

Pham, Quoc Bao, et al.. (2025). Enhancing Geotourism in Southeastern Morocco through Machine Learning-Based Geomorphosite Identification. Geoheritage. 17(1).

Dahri, Noura, et al.. (2025). Suitability map for solar photovoltaic desalination farms using GIS and multi-criteria decision analysis. Environmental Earth Sciences. 84(6). 6 indexed citations

Islam, Aznarul, Quoc Bao Pham, Biplab Sarkar, et al.. (2024). Assessing river water quality for ecological risk in the context of a decaying river in India. Environmental Science and Pollution Research. 32(16). 10223–10239. 2 indexed citations

Gupta, Sanjeev, Rawshan Ali, Nadhir Al‐Ansari, et al.. (2024). Sensitivity of daily reference evapotranspiration to weather variables in tropical savanna: a modelling framework based on neural network. Applied Water Science. 14(6). 5 indexed citations

Kumar, Vijendra, et al.. (2024). Advancements in drought using remote sensing: assessing progress, overcoming challenges, and exploring future opportunities. Theoretical and Applied Climatology. 155(6). 4251–4288. 16 indexed citations

Granata, Francesco, Fabio Di Nunno, & Quoc Bao Pham. (2024). A novel additive regression model for streamflow forecasting in German rivers. Results in Engineering. 22. 102104–102104. 19 indexed citations

Pham, Quoc Bao, et al.. (2024). Fusion of diverse data sources for flood extent mapping and risk assessment in Sindh: A comparative study of inundation mapping approaches. Advances in Space Research. 74(3). 1140–1163. 6 indexed citations

Pham, Quoc Bao, Ömer Ekmekcioğlu, Sk Ajim Ali, Kerim Koç, & Farhana Parvin. (2023). Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions. Applied Soft Computing. 143. 110429–110429. 12 indexed citations

Pande, Chaitanya B., Kanak N. Moharir, Manoj Kumar, Quoc Bao Pham, & Ahmed Elbeltagi. (2023). Climate Change Impacts on Natural Resources, Ecosystems and Agricultural Systems. 31 indexed citations

10.

Phinzi, Kwanele, et al.. (2023). Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest. Earth Science Informatics. 16(4). 3667–3677. 11 indexed citations

11.

Mondal, Ismail, Dipendra Nath Das, Jatisankar Bandyopadhyay, et al.. (2022). Modelling and mapping of soil erosion susceptibility using machine learning in a tropical hot sub-humid environment. Journal of Cleaner Production. 364. 132428–132428. 55 indexed citations

12.

Pham, Quoc Bao, Yacine Achour, Sk Ajim Ali, et al.. (2021). A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping. Geomatics Natural Hazards and Risk. 12(1). 1741–1777. 111 indexed citations

13.

Costache, Romulus, et al.. (2021). Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees. Geocarto International. 37(19). 5479–5496. 198 indexed citations breakdown →

14.

Adarsh, S., et al.. (2021). Multifractal characterization and cross correlations of reference evapotranspiration time series of India. The European Physical Journal Special Topics. 230(21-22). 3845–3859. 8 indexed citations

15.

Islam, Abu Reza Md. Towfiqul, Swapan Talukdar, Susanta Mahato, et al.. (2021). Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh. Environmental Science and Pollution Research. 28(26). 34450–34471. 63 indexed citations

16.

Elkhrachy, Ismail, Quoc Bao Pham, Romulus Costache, et al.. (2021). Sentinel‐1 remote sensing data and Hydrologic Engineering Centres River Analysis System two‐dimensional integration for flash flood detection and modelling in New Cairo City, Egypt. Journal of Flood Risk Management. 14(2). 26 indexed citations

17.

Costache, Romulus, Quoc Bao Pham, Alireza Arabameri, et al.. (2021). Flash-flood propagation susceptibility estimation using weights of evidence and their novel ensembles with multicriteria decision making and machine learning. Geocarto International. 37(25). 8361–8393. 41 indexed citations

18.

Costache, Romulus, Sk Ajim Ali, Farhana Parvin, et al.. (2021). Detection of areas prone to flood-induced landslides risk using certainty factor and its hybridization with FAHP, XGBoost and deep learning neural network. Geocarto International. 37(25). 7303–7338. 34 indexed citations

19.

Ali, Sk Ajim, Farhana Parvin, Quoc Bao Pham, et al.. (2020). GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Topľa basin, Slovakia. Ecological Indicators. 117. 106620–106620. 238 indexed citations

20.

Costache, Romulus, Quoc Bao Pham, Haoyuan Hong, et al.. (2020). Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential. Remote Sensing. 12(9). 1422–1422. 59 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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