Muhammad Amjad

428 total citations
13 papers, 305 citations indexed

About

Muhammad Amjad is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Muhammad Amjad has authored 13 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 8 papers in Global and Planetary Change and 3 papers in Environmental Engineering. Recurrent topics in Muhammad Amjad's work include Meteorological Phenomena and Simulations (8 papers), Climate variability and models (8 papers) and Precipitation Measurement and Analysis (6 papers). Muhammad Amjad is often cited by papers focused on Meteorological Phenomena and Simulations (8 papers), Climate variability and models (8 papers) and Precipitation Measurement and Analysis (6 papers). Muhammad Amjad collaborates with scholars based in Pakistan, Türkiye and Japan. Muhammad Amjad's co-authors include M. Tuğrul Yılmaz, İsmail Yücel, Koray K. Yılmaz, Burak Bulut, Mehdi H. Afshar, Firdos Khan, Sinan Kalkan, Ghulam Qadar Chaudhary, Eun‐Chul Chang and Kei Yoshimura and has published in prestigious journals such as Journal of Hydrology, Agricultural and Forest Meteorology and International Journal of Climatology.

In The Last Decade

Muhammad Amjad

10 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Amjad Pakistan 5 224 185 56 50 23 13 305
Raúl Moreno Spain 8 169 0.8× 146 0.8× 35 0.6× 39 0.8× 16 0.7× 16 262
Adam Jaczewski Poland 8 237 1.1× 201 1.1× 42 0.8× 25 0.5× 9 0.4× 16 331
Abdramane Ba Mali 6 226 1.0× 105 0.6× 63 1.1× 24 0.5× 45 2.0× 16 312
Christiana Olusegun Nigeria 7 210 0.9× 132 0.7× 38 0.7× 24 0.5× 54 2.3× 17 300
João António Martins Careto Portugal 9 159 0.7× 111 0.6× 19 0.3× 23 0.5× 16 0.7× 14 211
Rita Nogherotto Italy 9 257 1.1× 190 1.0× 36 0.6× 25 0.5× 21 0.9× 15 297
Joanne Robbins United Kingdom 10 233 1.0× 167 0.9× 19 0.3× 21 0.4× 20 0.9× 22 317
Somayeh Hejabi Iran 5 337 1.5× 109 0.6× 145 2.6× 48 1.0× 56 2.4× 10 377
Adrian Champion United Kingdom 9 340 1.5× 326 1.8× 34 0.6× 42 0.8× 6 0.3× 16 403

Countries citing papers authored by Muhammad Amjad

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Amjad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Amjad

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

All Works

13 of 13 papers shown
1.
Khan, Abdul Ghaffar, et al.. (2025). Applications of wavelet transform in climatic time series: a case study of Gilgit-Baltistan, Pakistan. International Journal of Environmental Science and Technology. 22(14). 13749–13768.
2.
Amjad, Muhammad, et al.. (2024). Investigating the comparative utility of ECMWF precipitation forecasts as an alternative to reanalysis data. Hydrological Sciences Journal. 69(8). 1060–1081. 1 indexed citations
3.
Amjad, Muhammad, et al.. (2024). Accuracy assessment of potential alternatives to observed precipitation for extremes over complex topography. Theoretical and Applied Climatology. 156(1).
4.
Yılmaz, M. Tuğrul, et al.. (2023). An explainable two-stage machine learning approach for precipitation forecast. Journal of Hydrology. 627. 130375–130375. 21 indexed citations
5.
Afshar, Mehdi H., et al.. (2022). Global spatiotemporal consistency between meteorological and soil moisture drought indices. Agricultural and Forest Meteorology. 316. 108848–108848. 86 indexed citations
7.
Amjad, Muhammad, M. Tuğrul Yılmaz, İsmail Yücel, & Koray K. Yılmaz. (2020). Performance evaluation of satellite- and model-based precipitation products over varying climate and complex topography. Journal of Hydrology. 584. 124707–124707. 162 indexed citations
9.
Amjad, Muhammad, et al.. (2019). Empirical Performance Analysis of Decision Tree and Support Vector Machine based Classifiers on Biological Databases. International Journal of Advanced Computer Science and Applications. 10(9). 2 indexed citations
10.
Yılmaz, M. Tuğrul & Muhammad Amjad. (2017). Evaluation of Satellite and Model Precipitation Products Over Turkey. AGUFM. 2017.
11.
Amjad, Muhammad, et al.. (2017). Uydu Kaynaklı Yağmur Verilerinin Hata Oranlarının Deniz Kıyılarına Olan Uzaklığa Bağlı Analizi. Teknik Dergi. 7993–7993. 2 indexed citations
12.
Amjad, Muhammad, et al.. (2017). Sensitivity Evaluation of Spectral Nudging Schemes in Historical Dynamical Downscaling for South Asia. Advances in Meteorology. 2017. 1–20. 5 indexed citations
13.
Amjad, Muhammad, et al.. (2014). Evaluation of weather research and forecasting model for the assessment of wind resource over Gharo, Pakistan. International Journal of Climatology. 35(8). 1821–1832. 21 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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