Muhammad Jehanzaib

1.5k total citations · 1 hit paper
42 papers, 1.0k citations indexed

About

Muhammad Jehanzaib is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, Muhammad Jehanzaib has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Global and Planetary Change, 24 papers in Water Science and Technology and 12 papers in Environmental Engineering. Recurrent topics in Muhammad Jehanzaib's work include Hydrology and Watershed Management Studies (23 papers), Hydrology and Drought Analysis (21 papers) and Hydrological Forecasting Using AI (12 papers). Muhammad Jehanzaib is often cited by papers focused on Hydrology and Watershed Management Studies (23 papers), Hydrology and Drought Analysis (21 papers) and Hydrological Forecasting Using AI (12 papers). Muhammad Jehanzaib collaborates with scholars based in South Korea, Pakistan and Algeria. Muhammad Jehanzaib's co-authors include Tae‐Woong Kim, Sabab Ali Shah, Jiyoung Yoo, Mohammed Achite, Joo‐Heon Lee, Muhammad Nouman Sattar, Nehal Elshaboury, Muhammad Ajmal, Dongkyun Kim and Hyun‐Han Kwon and has published in prestigious journals such as Journal of Hydrology, Remote Sensing and Medical Image Analysis.

In The Last Decade

Muhammad Jehanzaib

38 papers receiving 1.0k citations

Hit Papers

align trajectories sort by overperformance

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.

Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS)

2023 74 citations Shoaib Ali, Behnam Khorrami et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muhammad Jehanzaib South Korea	18	754	519	296	94	91	42	1.0k
Babak Vaheddoost Türkiye	17	653 0.9×	373 0.7×	254 0.9×	92 1.0×	81 0.9×	56	917
Yavuz Selim Güçlü Türkiye	14	678 0.9×	291 0.6×	209 0.7×	208 2.2×	48 0.5×	30	930
Maliko Tanguy United Kingdom	14	662 0.9×	411 0.8×	187 0.6×	190 2.0×	79 0.9×	34	887
Umar Waqas Liaqat South Korea	13	537 0.7×	422 0.8×	135 0.5×	142 1.5×	24 0.3×	17	681
S. Bohms United States	7	854 1.1×	603 1.2×	252 0.9×	117 1.2×	33 0.4×	8	1.0k
Ahmad Khairi Abd Wahab Malaysia	13	523 0.7×	184 0.4×	257 0.9×	158 1.7×	54 0.6×	33	840
Lebing Gong Sweden	7	1.0k 1.3×	646 1.2×	142 0.5×	272 2.9×	52 0.6×	10	1.2k
Fitsum Woldemeskel Australia	16	875 1.2×	503 1.0×	194 0.7×	383 4.1×	83 0.9×	24	1.1k
Thanh‐Nhan‐Duc Tran United States	16	477 0.6×	456 0.9×	189 0.6×	240 2.6×	34 0.4×	23	792
Srivatsan V. Raghavan Singapore	22	764 1.0×	313 0.6×	245 0.8×	460 4.9×	65 0.7×	39	1.0k

Countries citing papers authored by Muhammad Jehanzaib

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Jehanzaib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Jehanzaib

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

Achite, Mohammed, et al.. (2025). Advanced Soft Computing Techniques for Monthly Streamflow Prediction in Seasonal Rivers. Atmosphere. 16(1). 106–106. 1 indexed citations

Jehanzaib, Muhammad, Raymond Flynn, O. A. Leonard, et al.. (2025). The influence of plantation forest legacy on blanket bog hydrology. Journal of Hydrology. 664. 134498–134498.

Achite, Mohammed, et al.. (2025). Evaluating performances of SVR, HBA–SVR, and COOT–SVR techniques: monthly evaporation modeling in Algeria. Euro-Mediterranean Journal for Environmental Integration. 10(6). 5333–5350.

Ali, Shoaib, Behnam Khorrami, Mohammad Mansoob Khan, et al.. (2025). Bridging the resolution gap: Machine learning for local-scale groundwater drought monitoring in Punjab, Pakistan. Groundwater for Sustainable Development. 31. 101545–101545.

Jehanzaib, Muhammad, Yasin Almalıoğlu, Kutsev Bengisu Ozyoruk, et al.. (2024). A robust image segmentation and synthesis pipeline for histopathology. Medical Image Analysis. 99. 103344–103344. 6 indexed citations

Achite, Mohammed, Tommaso Caloiero, Muhammad Jehanzaib, et al.. (2024). Geo-Statistical Characterization of Annual Maximum Daily Rainfall Variability in Semi-Arid Regions. Atmosphere. 15(12). 1519–1519.

Ali, Shoaib, Jiangjun Ran, Behnam Khorrami, et al.. (2024). Downscaled GRACE/GRACE-FO observations for spatial and temporal monitoring of groundwater storage variations at the local scale using machine learning. Groundwater for Sustainable Development. 25. 101100–101100. 21 indexed citations

Ali, Shoaib, Behnam Khorrami, Muhammad Jehanzaib, et al.. (2023). Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS). Remote Sensing. 15(4). 873–873. 74 indexed citations breakdown →

Achite, Mohammed, et al.. (2023). Hydrological Drought Prediction Based on Hybrid Extreme Learning Machine: Wadi Mina Basin Case Study, Algeria. Atmosphere. 14(9). 1447–1447. 18 indexed citations

10.

Achite, Mohammed, et al.. (2023). An election algorithm combined with support vector regression for estimating hydrological drought. Modeling Earth Systems and Environment. 10(1). 1395–1405. 4 indexed citations

11.

Jehanzaib, Muhammad, Shoaib Ali, Min Ji Kim, & Tae‐Woong Kim. (2023). Modeling hydrological non-stationarity to analyze environmental impacts on drought propagation. Atmospheric Research. 286. 106699–106699. 12 indexed citations

12.

Achite, Mohammed, Nehal Elshaboury, Muhammad Jehanzaib, et al.. (2023). Performance of Machine Learning Techniques for Meteorological Drought Forecasting in the Wadi Mina Basin, Algeria. Water. 15(4). 765–765. 42 indexed citations

13.

Kassab, Mohamad, et al.. (2023). FFPE++: Improving the quality of formalin-fixed paraffin-embedded tissue imaging via contrastive unpaired image-to-image translation. Medical Image Analysis. 91. 102992–102992. 8 indexed citations

14.

Saddique, Naeem, Muhammad Jehanzaib, Abid Sarwar, et al.. (2022). A Systematic Review on Farmers’ Adaptation Strategies in Pakistan toward Climate Change. Atmosphere. 13(8). 1280–1280. 12 indexed citations

15.

Khorrami, Behnam, et al.. (2022). Spatio-temporal variations in characteristics of terrestrial water storage and associated drought over different geographic regions of Türkiye. Earth Science Informatics. 16(1). 717–731. 23 indexed citations

16.

Jehanzaib, Muhammad, et al.. (2022). Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers. KSCE Journal of Civil Engineering. 26(6). 3019–3030. 9 indexed citations

17.

Jehanzaib, Muhammad, et al.. (2021). Comprehensive evaluation of machine learning models for suspended sediment load inflow prediction in a reservoir. Stochastic Environmental Research and Risk Assessment. 35(9). 1805–1823. 35 indexed citations

18.

Sattar, Muhammad Nouman, et al.. (2020). Application of the Hidden Markov Bayesian Classifier and Propagation Concept for Probabilistic Assessment of Meteorological and Hydrological Droughts in South Korea. Atmosphere. 11(9). 1000–1000. 17 indexed citations

19.

Jehanzaib, Muhammad, Muhammad Nouman Sattar, Joo‐Heon Lee, & Tae‐Woong Kim. (2019). Investigating effect of climate change on drought propagation from meteorological to hydrological drought using multi-model ensemble projections. Stochastic Environmental Research and Risk Assessment. 34(1). 7–21. 118 indexed citations

20.

Jehanzaib, Muhammad, et al.. (2009). Evaluation of cervical cerclage for sonographically incompetent cervix in at high risk patients.. PubMed. 20(2). 31–4. 6 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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