Muhammad Nasar Ahmad

588 total citations · 2 hit papers
25 papers, 361 citations indexed

About

Muhammad Nasar Ahmad is a scholar working on Global and Planetary Change, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Muhammad Nasar Ahmad has authored 25 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 14 papers in Environmental Engineering and 6 papers in Atmospheric Science. Recurrent topics in Muhammad Nasar Ahmad's work include Land Use and Ecosystem Services (13 papers), Urban Heat Island Mitigation (9 papers) and Flood Risk Assessment and Management (8 papers). Muhammad Nasar Ahmad is often cited by papers focused on Land Use and Ecosystem Services (13 papers), Urban Heat Island Mitigation (9 papers) and Flood Risk Assessment and Management (8 papers). Muhammad Nasar Ahmad collaborates with scholars based in China, Pakistan and United States. Muhammad Nasar Ahmad's co-authors include Zhenfeng Shao, Akib Javed, Rana Waqar Aslam, Aqil Tariq, Fakhrul Islam, Iram Naz, Abdul Quddoos, Hong Shu, Farhan Mustafa and Yang Song and has published in prestigious journals such as Sustainability, Remote Sensing and Environmental Science and Pollution Research.

In The Last Decade

Muhammad Nasar Ahmad

19 papers receiving 353 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.

Monitoring landuse change in Uchhali and Khabeki wetland lakes, Pakistan using remote sensing data

2024 74 citations Rana Waqar Aslam, Aqil Tariq et al. profile →
Comparison of Random Forest and XGBoost Classifiers Using Integrated Optical and SAR Features for Mapping Urban Impervious Surface

2024 61 citations Zhenfeng Shao, Muhammad Nasar Ahmad 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 Nasar Ahmad China	11	204	150	90	67	53	25	361
Hasan Mohammed Hameed Iraq	7	234 1.1×	149 1.0×	87 1.0×	71 1.1×	60 1.1×	13	335
Abdul Quddoos China	12	190 0.9×	152 1.0×	114 1.3×	69 1.0×	85 1.6×	16	452
Emre Özelkan Türkiye	10	204 1.0×	143 1.0×	107 1.2×	59 0.9×	57 1.1×	28	387
M. Razu Ahmed Canada	14	303 1.5×	182 1.2×	104 1.2×	118 1.8×	59 1.1×	25	445
Iram Naz China	13	167 0.8×	145 1.0×	98 1.1×	74 1.1×	84 1.6×	21	437
Danish Raza Pakistan	9	144 0.7×	101 0.7×	94 1.0×	55 0.8×	50 0.9×	24	293
Zeeshan Zafar China	13	195 1.0×	137 0.9×	72 0.8×	73 1.1×	59 1.1×	29	378
Adrian Strauch Germany	7	222 1.1×	113 0.8×	127 1.4×	67 1.0×	69 1.3×	12	331
Peeranan Towashiraporn United States	9	221 1.1×	129 0.9×	105 1.2×	86 1.3×	77 1.5×	29	552
Siham Acharki Morocco	12	213 1.0×	104 0.7×	125 1.4×	69 1.0×	70 1.3×	31	345

Countries citing papers authored by Muhammad Nasar Ahmad

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Nasar Ahmad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Nasar Ahmad

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

Bathrellos, George D., et al.. (2025). Morphometric and morphotectonic parameters in flood studies and flood hazard assessment: a literature review. Zeitschrift für Geomorphologie. 64(3-4). 221–244.

Ahmad, Muhammad Nasar, Md. Enamul Huq, Fakhrul Islam, et al.. (2025). Enhanced urban impervious surface land use mapping using a novel multi-sensor feature fusion method and remote sensing data. Environmental Earth Sciences. 84(9). 2 indexed citations

Han, Xiaofei, et al.. (2025). Enhancing Water Bodies Detection in the Highland and Coastal Zones Through Multisensor Spectral Data Fusion and Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 15629–15642.

Islam, Fakhrul, et al.. (2025). Precursory anomalies in the seismo-ionospheric-atmospheric domain associated with offshore earthquakes of magnitude greater than 7.0. Geomatics Natural Hazards and Risk. 16(1).

Ahmad, Muhammad Nasar, Hariklia D. Skilodimou, Fakhrul Islam, Akib Javed, & George D. Bathrellos. (2025). Drainage Network Generation for Urban Pluvial Flooding (UPF) Using Generative Adversarial Networks (GANs) and GIS Data. Sustainability. 17(10). 4380–4380.

Tariq, Aqil, Fakhrul Islam, Liaqat Ali Waseem, et al.. (2024). Integrated study of GIS and Remote Sensing to identify potential sites for rainwater harvesting structures. Physics and Chemistry of the Earth Parts A/B/C. 134. 103574–103574. 14 indexed citations

Islam, Fakhrul, Muhammad Nasar Ahmad, Jinwook Lee, et al.. (2024). Revealing Land-Use Dynamics on Thermal Environment of Riverine Cities Under Climate Variability Using Remote Sensing and Geospatial Techniques. ISPRS International Journal of Geo-Information. 14(1). 13–13. 9 indexed citations

Shao, Zhenfeng, Muhammad Nasar Ahmad, & Akib Javed. (2024). Comparison of Random Forest and XGBoost Classifiers Using Integrated Optical and SAR Features for Mapping Urban Impervious Surface. Remote Sensing. 16(4). 665–665. 61 indexed citations breakdown →

Ahmad, Muhammad Nasar, Zhenfeng Shao, Akib Javed, et al.. (2024). Optical–SAR Data Fusion Based on Simple Layer Stacking and the XGBoost Algorithm to Extract Urban Impervious Surfaces in Global Alpha Cities. Remote Sensing. 16(5). 873–873. 6 indexed citations

10.

Javed, Akib, Zhenfeng Shao, Neema Simon Sumari, et al.. (2023). Development of normalized soil area index for urban studies using remote sensing data. Geofizika. 40(1). 29–48. 1 indexed citations

11.

Javed, Akib, Zhenfeng Shao, Muhammad Nasar Ahmad, et al.. (2023). Development of Soil-Suppressed Impervious Surface Area Index for Automatic Urban Mapping. Photogrammetric Engineering & Remote Sensing. 90(1). 33–43. 1 indexed citations

12.

Islam, Fakhrul, Aqil Tariq, Na Zhao, et al.. (2023). Comparative analysis of GIS and RS based models for delineation of groundwater potential zone mapping. Geomatics Natural Hazards and Risk. 14(1). 36 indexed citations

13.

Ahmad, Muhammad Nasar, Zhenfeng Shao, & Akib Javed. (2023). Mapping impervious surface area increase and urban pluvial flooding using Sentinel Application Platform (SNAP) and remote sensing data. Environmental Science and Pollution Research. 30(60). 125741–125758. 12 indexed citations

14.

Shao, Zhenfeng, et al.. (2023). Expansion of Urban Impervious Surfaces in Lahore (1993–2022) Based on Gee and Remote Sensing Data. Photogrammetric Engineering & Remote Sensing. 89(8). 479–486. 9 indexed citations

15.

Ahmad, Muhammad Nasar, et al.. (2023). The Cellular Automata Approach in Dynamic Modelling of Land Use Change Detection and Future Simulations Based on Remote Sensing Data in Lahore Pakistan. Photogrammetric Engineering & Remote Sensing. 89(1). 47–55. 22 indexed citations

16.

Ahmad, Muhammad Nasar, et al.. (2022). The Simulation and Prediction of Land Surface Temperature Based on SCP and CA-ANN Models Using Remote Sensing Data: A Case Study of Lahore. Photogrammetric Engineering & Remote Sensing. 88(12). 783–790. 12 indexed citations

17.

Ahmad, Muhammad Nasar, Zhenfeng Shao, & Akib Javed. (2022). Modelling land use/land cover (LULC) change dynamics, future prospects, and its environmental impacts based on geospatial data models and remote sensing data. Environmental Science and Pollution Research. 30(12). 32985–33001. 35 indexed citations

18.

Islam, Fakhrul, Muhammad Nasar Ahmad, Hammad Tariq Janjuhah, et al.. (2022). Modelling and Mapping of Soil Erosion Susceptibility of Murree, Sub-Himalayas Using GIS and RS-Based Models. Applied Sciences. 12(23). 12211–12211. 15 indexed citations

19.

Ahmad, Muhammad Nasar, et al.. (2022). Landslide hazard, susceptibility and risk assessment (HSRA) based on remote sensing and GIS data models: a case study of Muzaffarabad Pakistan. Stochastic Environmental Research and Risk Assessment. 36(12). 4041–4056. 26 indexed citations

20.

Ahmad, Muhammad Nasar, Zhenfeng Shao, & Orhan Altan. (2021). Effect of Locust Invasion and Mitigation Using Remote Sensing Techniques: A Case Study of North Sindh Pakistan. Photogrammetric Engineering & Remote Sensing. 88(1). 47–53. 5 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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