Munawar Shah

1.9k total citations
81 papers, 1.4k citations indexed

About

Munawar Shah is a scholar working on Geophysics, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Munawar Shah has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Geophysics, 21 papers in Artificial Intelligence and 20 papers in Astronomy and Astrophysics. Recurrent topics in Munawar Shah's work include Earthquake Detection and Analysis (59 papers), earthquake and tectonic studies (43 papers) and Ionosphere and magnetosphere dynamics (20 papers). Munawar Shah is often cited by papers focused on Earthquake Detection and Analysis (59 papers), earthquake and tectonic studies (43 papers) and Ionosphere and magnetosphere dynamics (20 papers). Munawar Shah collaborates with scholars based in Pakistan, China and Thailand. Munawar Shah's co-authors include M. Arslan Tariq, Shuanggen Jin, Arslan Ahmed, Muhsan Ehsan, Talat Iqbal, Punyawi Jamjareegulgarn, Junaid Ahmed, Andrés Calabia, José Francisco de Oliveira‐Júnior and Ayesha Abbas and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and Sustainability.

In The Last Decade

Munawar Shah

78 papers receiving 1.4k citations

Peers

Munawar Shah

GEOPH

GPC

ECOLO

Nicola Genzano Italy

Punyawi Jamjareegulgarn Thailand

Carolina Filizzola Italy

Neil Pearson United States

Mohammad Reza Saradjian Iran

Christina Widiwijayanti Singapore

Yunzhao Wu China

Linguo Yuan China

A. Cristaldi Italy

Vincent J. Realmuto United States

Nicola Genzano Italy

Munawar Shah

800 ×0.7

GEOPH

510 ×1.2

27 ×0.1

160 ×1.2

GPC

44 ×0.5

ECOLO

Citations per year, relative to Munawar Shah Munawar Shah (= 1×) peers Nicola Genzano

Countries citing papers authored by Munawar Shah

Since Specialization

Citations

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

Fields of papers citing papers by Munawar Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munawar Shah

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

Oliveira‐Júnior, José Francisco de, Ana Silva, Ana Gomes, et al.. (2025). Rainfall variability, land use and land cover dynamics, and implications for climate risk through a theoretical-conceptual model for the Eastern Northeast of Brazil. Journal of South American Earth Sciences. 158. 105470–105470. 2 indexed citations

Mehmood, Kaleem, Shoaib Ahmad Anees, Muhammad Adnan, et al.. (2025). Understanding green house gases emission dynamics from forest fires in Thailand using predictive models. Global and Planetary Change. 257. 105236–105236.

Shah, Munawar, et al.. (2025). Multi-satellite based possible precursory signals detection linked to the 2024 Mw 7.5 Noto Peninsula Japan earthquake. Advances in Space Research. 75(12). 8830–8848. 1 indexed citations

Shah, Munawar, et al.. (2024). The 2023 Mw 6.8 Morocco earthquake induced atmospheric and ionospheric anomalies. Journal of Atmospheric and Solar-Terrestrial Physics. 262. 106323–106323.

Yi, Li, et al.. (2024). Synchrosqueezing-Based Shallow Neural Network for Near-Surface Void Recognition by Ground Penetrating Radar. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations

Ahmed, Junaid, et al.. (2024). Study of the ionospheric precursors associated with M w ≥6.0EQ from Ionosonde Stations and GIM TEC. Journal of Atmospheric and Solar-Terrestrial Physics. 256. 106205–106205. 5 indexed citations

Shah, Munawar, et al.. (2024). Synchronized and Co-Located Ionospheric and Atmospheric Anomalies Associated with the 2023 Mw 7.8 Turkey Earthquake. Remote Sensing. 16(2). 222–222. 15 indexed citations

Ahmedov, Bobomurat, et al.. (2024). Exploring Electromagnetic Wave Propagation Through the Ionosphere Over Seismic Active Zones. Pure and Applied Geophysics. 182(3). 1113–1127. 4 indexed citations

Shah, Munawar, et al.. (2023). Atmospheric precursors from multiple satellites associated with the 2020 Mw 6.5 Idaho (USA) earthquake. Advances in Space Research. 73(1). 440–455. 7 indexed citations

10.

Shah, Munawar, et al.. (2023). Ionospheric–Thermospheric Responses to Geomagnetic Storms from Multi-Instrument Space Weather Data. Remote Sensing. 15(10). 2687–2687. 13 indexed citations

11.

Tariq, M. Arslan, Libo Liu, Munawar Shah, et al.. (2023). Longitudinal variations of ionospheric responses to the February and April 2023 geomagnetic storms over American and Asian sectors. Advances in Space Research. 73(6). 3033–3049. 13 indexed citations

12.

Oliveira‐Júnior, José Francisco de, et al.. (2023). Effects of extreme phases of El Niño–Southern Oscillation on rainfall extremes in Alagoas, Brazil. International Journal of Climatology. 43(16). 7700–7721. 4 indexed citations

13.

Shah, Munawar, et al.. (2023). Deep Machine Learning Based Possible Atmospheric and Ionospheric Precursors of the 2021 Mw 7.1 Japan Earthquake. Remote Sensing. 15(7). 1904–1904. 26 indexed citations

14.

Shah, Munawar, et al.. (2023). Seismo Ionospheric Anomalies around and over the Epicenters of Pakistan Earthquakes. Atmosphere. 14(3). 601–601. 12 indexed citations

15.

Oliveira‐Júnior, José Francisco de, Bushra Ghaffar, Aqil Tariq, et al.. (2022). Rainfall in the Urban Area and Its Impact on Climatology and Population Growth. Atmosphere. 13(10). 1610–1610. 19 indexed citations

16.

Oliveira‐Júnior, José Francisco de, Munawar Shah, Ayesha Abbas, et al.. (2022). Spatiotemporal Analysis of Fire Foci and Environmental Degradation in the Biomes of Northeastern Brazil. Sustainability. 14(11). 6935–6935. 23 indexed citations

17.

Ghaffar, Bushra, Majid Khan, Munawar Shah, et al.. (2022). Atmospheric Anomalies Associated with the 2021 Mw 7.2 Haiti Earthquake Using Machine Learning from Multiple Satellites. Sustainability. 14(22). 14782–14782. 21 indexed citations

18.

Oliveira‐Júnior, José Francisco de, Marcos Vinícius da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, et al.. (2022). Dynamics of Fire Foci in the Amazon Rainforest and Their Consequences on Environmental Degradation. Sustainability. 14(15). 9419–9419. 8 indexed citations

19.

Calabia, Andrés, et al.. (2022). Low-Latitude Ionospheric Responses and Coupling to the February 2014 Multiphase Geomagnetic Storm from GNSS, Magnetometers, and Space Weather Data. Atmosphere. 13(4). 518–518. 16 indexed citations

20.

Ullah, Saleem, Zulfiqar Ahmad Saqib, Azhar Abbas, et al.. (2021). Estimation and Forecasting of Rice Yield Using Phenology-Based Algorithm and Linear Regression Model on Sentinel-II Satellite Data. Agriculture. 11(10). 1026–1026. 36 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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