Zafar Iqbal

1000 total citations · 1 hit paper
17 papers, 702 citations indexed

About

Zafar Iqbal is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Zafar Iqbal has authored 17 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 7 papers in Atmospheric Science and 4 papers in Water Science and Technology. Recurrent topics in Zafar Iqbal's work include Climate variability and models (12 papers), Hydrology and Drought Analysis (8 papers) and Meteorological Phenomena and Simulations (7 papers). Zafar Iqbal is often cited by papers focused on Climate variability and models (12 papers), Hydrology and Drought Analysis (8 papers) and Meteorological Phenomena and Simulations (7 papers). Zafar Iqbal collaborates with scholars based in Malaysia, Pakistan and Egypt. Zafar Iqbal's co-authors include Shamsuddin Shahid, Kamal Ahmed, Nadeem Nawaz, Najeebullah Khan, Tarmizi Ismail, D. A. Sachindra, Xiaojun Wang, ‪Eun‐Sung Chung, Ghaith Falah Ziarh and Mohd Khairul Idlan Muhammad and has published in prestigious journals such as The Science of The Total Environment, Sustainability and Climate Dynamics.

In The Last Decade

Zafar Iqbal

16 papers receiving 692 citations

Hit Papers

Evaluation of CMIP6 GCM rainfall in mainland Southeast Asia 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zafar Iqbal Malaysia 13 548 311 194 128 89 17 702
P. Sonali India 6 542 1.0× 225 0.7× 205 1.1× 118 0.9× 83 0.9× 11 623
Sylvie Parey France 17 738 1.3× 375 1.2× 220 1.1× 84 0.7× 48 0.5× 39 895
M. J. Nazemosadat Iran 10 473 0.9× 255 0.8× 120 0.6× 163 1.3× 77 0.9× 25 583
Eyüp Şişman Türkiye 14 568 1.0× 151 0.5× 188 1.0× 123 1.0× 78 0.9× 47 739
Chun‐Ho Cho South Korea 14 551 1.0× 371 1.2× 91 0.5× 102 0.8× 64 0.7× 72 747
Chi Yang China 12 618 1.1× 449 1.4× 148 0.8× 99 0.8× 47 0.5× 29 763
Mohammad Darand Iran 14 552 1.0× 415 1.3× 109 0.6× 113 0.9× 71 0.8× 51 732
Javad Bazrafshan Iran 16 636 1.2× 145 0.5× 280 1.4× 119 0.9× 136 1.5× 47 802
Ditiro B. Moalafhi Botswana 14 493 0.9× 188 0.6× 147 0.8× 105 0.8× 82 0.9× 29 646
T. Brandsma Netherlands 15 685 1.3× 437 1.4× 162 0.8× 278 2.2× 54 0.6× 25 913

Countries citing papers authored by Zafar Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Zafar Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zafar Iqbal

This figure shows the co-authorship network connecting the top 25 collaborators of Zafar Iqbal. A scholar is included among the top collaborators of Zafar Iqbal 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 Zafar Iqbal. Zafar Iqbal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Sa’adi, Zulfaqar, Nor Eliza Alias, Zulkifli Yusop, et al.. (2024). Characterization of the future northeast monsoon rainfall based on the clustered climate zone under CMIP6 in Peninsular Malaysia. Atmospheric Research. 304. 107407–107407. 6 indexed citations
2.
Sa’adi, Zulfaqar, et al.. (2023). Application of relative importance metrics for CMIP6 models selection in projecting basin-scale rainfall over Johor River basin, Malaysia. The Science of The Total Environment. 912. 169187–169187. 15 indexed citations
3.
Muhammad, Mohd Khairul Idlan, et al.. (2023). Performance evaluation of CMIP6 GCMs for the projections of precipitation extremes in Pakistan. Climate Dynamics. 61(9-10). 4717–4732. 32 indexed citations
4.
Hamed, Mohammed Magdy, Zafar Iqbal, Mohamed Salem Nashwan, Ahmed Farouk Kineber, & Shamsuddin Shahid. (2023). Diminishing evapotranspiration paradox and its cause in the Middle East and North Africa. Atmospheric Research. 289. 106760–106760. 25 indexed citations
5.
Iqbal, Zafar, Shamsuddin Shahid, Tarmizi Ismail, et al.. (2022). Distributed Hydrological Model Based on Machine Learning Algorithm: Assessment of Climate Change Impact on Floods. Sustainability. 14(11). 6620–6620. 13 indexed citations
6.
Iqbal, Zafar, Shamsuddin Shahid, Kamal Ahmed, et al.. (2022). Bias correction method of high-resolution satellite-based precipitation product for Peninsular Malaysia. Theoretical and Applied Climatology. 148(3-4). 1429–1446. 28 indexed citations
7.
Shahid, Shamsuddin, et al.. (2021). Historical trends in crop water demand over semiarid region of Syria. Theoretical and Applied Climatology. 146(1-2). 555–566. 6 indexed citations
8.
Iqbal, Zafar, Shamsuddin Shahid, Kamal Ahmed, et al.. (2021). Evaluation of CMIP6 GCM rainfall in mainland Southeast Asia. Atmospheric Research. 254. 105525–105525. 143 indexed citations breakdown →
9.
Iqbal, Zafar, et al.. (2020). Evaluation of global climate models for precipitation projection in sub-Himalaya region of Pakistan. Atmospheric Research. 245. 105061–105061. 54 indexed citations
10.
Noor, Muhammad, Tarmizi Ismail, Shahid Ullah, et al.. (2019). A non-local model output statistics approach for the downscaling of CMIP5 GCMs for the projection of rainfall in Peninsular Malaysia. Journal of Water and Climate Change. 11(4). 944–955. 15 indexed citations
11.
Iqbal, Zafar, et al.. (2019). Fetal Heart Rate Classification and Comparative Analysis Using Cardiotocography Data and Known Classifiers. International Journal of Grid and Distributed Computing. 12(1). 31–42. 19 indexed citations
12.
Ahmed, Kamal, et al.. (2019). Quantitative assessment of precipitation changes under CMIP5 RCP scenarios over the northern sub-Himalayan region of Pakistan. Environment Development and Sustainability. 22(8). 7831–7845. 18 indexed citations
13.
Shiru, Mohammed Sanusi, Shamsuddin Shahid, ‪Eun‐Sung Chung, et al.. (2019). Challenges in water resources of Lagos mega city of Nigeria in the context of climate change. Journal of Water and Climate Change. 11(4). 1067–1083. 53 indexed citations
14.
Ahmed, Kamal, D. A. Sachindra, Shamsuddin Shahid, et al.. (2019). Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms. Atmospheric Research. 236. 104806–104806. 199 indexed citations
15.
Iqbal, Zafar, et al.. (2019). Spatial distribution of the trends in precipitation and precipitation extremes in the sub-Himalayan region of Pakistan. Theoretical and Applied Climatology. 137(3-4). 2755–2769. 70 indexed citations
16.
Iqbal, Zafar, et al.. (2018). An Outlook of Ozone Air Pollution through Comparative Analysis of Artificial Neural Network, Regression, and Sensitivity Models. Engineering Technology & Applied Science Research. 8(5). 3387–3391. 6 indexed citations
17.
Iqbal, Zafar, et al.. (2009). Investigation of trace elements in vegetables.. Pakistan Journal of Science. 61(4). 195–198.

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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