Muhammad Shakir

927 total citations
34 papers, 762 citations indexed

About

Muhammad Shakir is a scholar working on Ecology, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Muhammad Shakir has authored 34 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 9 papers in Atmospheric Science and 9 papers in Environmental Engineering. Recurrent topics in Muhammad Shakir's work include Remote Sensing in Agriculture (16 papers), Remote Sensing and LiDAR Applications (9 papers) and Remote Sensing and Land Use (8 papers). Muhammad Shakir is often cited by papers focused on Remote Sensing in Agriculture (16 papers), Remote Sensing and LiDAR Applications (9 papers) and Remote Sensing and Land Use (8 papers). Muhammad Shakir collaborates with scholars based in Pakistan, China and United States. Muhammad Shakir's co-authors include Zheng Niu, Li Wang, Pengyu Hao, Yulin Zhan, Cheng Wang, Carlos Antônio da Silva, Yaseen Muhammad, Muhammad Shahid Iqbal, Paulo Eduardo Teodoro and Shuai Gao and has published in prestigious journals such as Remote Sensing, Land Use Policy and Sensors and Actuators A Physical.

In The Last Decade

Muhammad Shakir

33 papers receiving 747 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 Shakir Pakistan 17 438 226 209 192 101 34 762
Ning Lu China 14 591 1.3× 422 1.9× 332 1.6× 239 1.2× 166 1.6× 37 927
M. P. Tuohy New Zealand 16 381 0.9× 195 0.9× 328 1.6× 180 0.9× 45 0.4× 21 770
Khaled Abutaleb South Africa 16 210 0.5× 296 1.3× 310 1.5× 154 0.8× 126 1.2× 39 790
J. Ge China 15 435 1.0× 339 1.5× 317 1.5× 62 0.3× 135 1.3× 40 810
Shun Hu China 13 651 1.5× 414 1.8× 360 1.7× 253 1.3× 188 1.9× 42 1.1k
Xinyu Li China 17 304 0.7× 273 1.2× 219 1.0× 94 0.5× 302 3.0× 57 825
Jinlong Gao China 14 343 0.8× 255 1.1× 138 0.7× 57 0.3× 113 1.1× 31 569
Pingheng Li China 20 481 1.1× 480 2.1× 298 1.4× 453 2.4× 96 1.0× 36 1.1k
Diyou Liu China 11 427 1.0× 222 1.0× 118 0.6× 143 0.7× 119 1.2× 29 681
Jianhong Liu China 14 477 1.1× 484 2.1× 187 0.9× 146 0.8× 157 1.6× 47 888

Countries citing papers authored by Muhammad Shakir

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Shakir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Shakir

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

All Works

20 of 20 papers shown
1.
Shakir, Muhammad, et al.. (2024). Evaluating machine learning approaches for aboveground biomass prediction in fragmented high-elevated forests using multi-sensor satellite data. Remote Sensing Applications Society and Environment. 36. 101291–101291. 16 indexed citations
2.
Ullah, Saleem, Na Zhao, Faisal Mumtaz, et al.. (2023). Comparative Analysis of Remote Sensing and Geo-Statistical Techniques to Quantify Forest Biomass. Forests. 14(2). 379–379. 19 indexed citations
3.
Shakir, Muhammad, et al.. (2023). Nexus of land use land cover dynamics and extent of soil loss in the Panjkora River Basin of eastern Hindu Kush. Journal of Water and Climate Change. 14(12). 4669–4688. 2 indexed citations
4.
Wang, Li, et al.. (2023). Estimation and Development-Potential Analysis of Regional Housing in Ningbo City Based on High-Resolution Stereo Remote Sensing. Remote Sensing. 15(16). 3953–3953. 3 indexed citations
5.
Wang, Li, Ni Huang, Wanjuan Song, et al.. (2022). A Continuous Change Tracker Model for Remote Sensing Time Series Reconstruction. Remote Sensing. 14(9). 2280–2280. 2 indexed citations
6.
7.
Muhammad, Yaseen, Sana Ullah, Fazle Subhan, et al.. (2022). Oxidative desulfurization of model and real petroleum distillates using Cu or Ni impregnated banana peels derived activated carbon–NaClO catalyst–oxidant system. Process Safety and Environmental Protection. 179. 107–118. 26 indexed citations
8.
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
9.
Muhammad, Yaseen, Waqas Ahmad, Muhammad Shakir, et al.. (2021). Preparation of titanium carbide reinforced polymer based composite nanofibers for enhanced humidity sensing. Sensors and Actuators A Physical. 332. 113201–113201. 25 indexed citations
10.
Shakir, Muhammad, et al.. (2020). Novel Genetic Variant of Ataxia Telangiectasia Presenting with Necrotising Pneumonia and Bronchopleural Fistulae at the Age of 4 Years. Journal of College of Physicians And Surgeons Pakistan. 30(10). 1102–1104. 2 indexed citations
11.
Ali, Asad, et al.. (2020). Spatial modeling of Dengue prevalence and kriging prediction of Dengue outbreak in Khyber Pakhtunkhwa (Pakistan) using presence only data. Stochastic Environmental Research and Risk Assessment. 34(7). 1023–1036. 9 indexed citations
12.
Shah, Munawar, Samed İnyurt, Muhsan Ehsan, et al.. (2020). Seismo ionospheric anomalies in Turkey associated with M  ≥ 6.0 earthquakes detected by GPS stations and GIM TEC. Advances in Space Research. 65(11). 2540–2550. 31 indexed citations
13.
Yu, Bo, Fang Chen, & Muhammad Shakir. (2018). Analysis of satellite-derived landslide at Central Nepal from 2011 to 2016. Environmental Earth Sciences. 77(9). 20 indexed citations
14.
Silva, Carlos Antônio da, Marcos Rafael Nanni, José Francisco de Oliveira‐Júnior, et al.. (2018). Object-based image analysis supported by data mining to discriminate large areas of soybean. International Journal of Digital Earth. 12(3). 270–292. 17 indexed citations
15.
Wang, Li, et al.. (2016). Identifying crown areas in an undulating area planted with eucalyptus using unmanned aerial vehicle near-infrared imagery. Remote Sensing Letters. 7(6). 561–570. 7 indexed citations
16.
Shakir, Muhammad, et al.. (2015). Crop Classification Based on Time Series MODIS EVI and Ground Observation for Three Adjoining Years in Xinjiang.. PubMed. 35(5). 1345–50. 5 indexed citations
17.
Wu, Mingquan, Muhammad Shakir, Fang Chen, Zheng Niu, & Changyao Wang. (2015). Combining remote sensing and eddy covariance data to monitor the gross primary production of an estuarine wetland ecosystem in East China. Environmental Science Processes & Impacts. 17(4). 753–762. 6 indexed citations
18.
Hao, Pengyu, Yulin Zhan, Li Wang, Zheng Niu, & Muhammad Shakir. (2015). Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA. Remote Sensing. 7(5). 5347–5369. 215 indexed citations
19.
Shakir, Muhammad, Yulin Zhan, Zheng Niu, Li Wang, & Pengyu Hao. (2015). Analyzing the Sensitivity of Crops Classification Accuracy Based on MODIS EVI Time Series and History Ground Reference Data. Canadian Journal of Remote Sensing. 41(6). 536–546. 9 indexed citations
20.
Wang, Li, Zheng Niu, Cheng Wang, et al.. (2015). Combined Use of Airborne LiDAR and Satellite GF-1 Data to Estimate Leaf Area Index, Height, and Aboveground Biomass of Maize During Peak Growing Season. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(9). 4489–4501. 48 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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