Mohamad M. Awad

826 total citations
41 papers, 591 citations indexed

About

Mohamad M. Awad is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, Mohamad M. Awad has authored 41 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Media Technology, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Ecology. Recurrent topics in Mohamad M. Awad's work include Remote-Sensing Image Classification (15 papers), Remote Sensing in Agriculture (9 papers) and Remote Sensing and LiDAR Applications (6 papers). Mohamad M. Awad is often cited by papers focused on Remote-Sensing Image Classification (15 papers), Remote Sensing in Agriculture (9 papers) and Remote Sensing and LiDAR Applications (6 papers). Mohamad M. Awad collaborates with scholars based in Lebanon, France and United States. Mohamad M. Awad's co-authors include Ahmad Nasri, Kacem Chehdi, Jean Benkhelil, Vittorio Barale, Mohamad Khawlie, Chadi Abdallah, Amin Shaban, Marco Lauteri, Ihab Jomaa and A. Shaban and has published in prestigious journals such as International Journal of Remote Sensing, Sustainability and Remote Sensing.

In The Last Decade

Mohamad M. Awad

38 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamad M. Awad Lebanon 13 177 153 143 104 102 41 591
Chenchao Xiao China 15 222 1.3× 239 1.6× 161 1.1× 141 1.4× 108 1.1× 42 729
Hamid Ghanbari Canada 7 187 1.1× 293 1.9× 198 1.4× 173 1.7× 76 0.7× 16 832
H. H. Bulcock South Africa 8 165 0.9× 239 1.6× 103 0.7× 196 1.9× 41 0.4× 11 606
Maheshwaran Govender South Africa 6 165 0.9× 266 1.7× 114 0.8× 150 1.4× 40 0.4× 7 616
Anna Brook Israel 16 168 0.9× 264 1.7× 225 1.6× 191 1.8× 72 0.7× 68 845
Alireza Taravat Italy 13 107 0.6× 142 0.9× 127 0.9× 190 1.8× 34 0.3× 26 536
Uğur Algancı Türkiye 16 252 1.4× 256 1.7× 258 1.8× 332 3.2× 146 1.4× 53 898
Dibyendu Dutta India 14 95 0.5× 168 1.1× 92 0.6× 285 2.7× 33 0.3× 60 616
Binge Cui China 13 267 1.5× 103 0.7× 62 0.4× 82 0.8× 108 1.1× 47 563
Saeed Al Mansoori United Arab Emirates 13 177 1.0× 73 0.5× 107 0.7× 102 1.0× 184 1.8× 76 655

Countries citing papers authored by Mohamad M. Awad

Since Specialization
Citations

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

Fields of papers citing papers by Mohamad M. Awad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamad M. Awad. 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 Mohamad M. Awad. The network helps show where Mohamad M. Awad may publish in the future.

Co-authorship network of co-authors of Mohamad M. Awad

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamad M. Awad. A scholar is included among the top collaborators of Mohamad M. Awad 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 Mohamad M. Awad. Mohamad M. Awad 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.
2.
Ahmad, Imtiaz, et al.. (2024). Network traffic prediction by learning time series as images. Engineering Science and Technology an International Journal. 55. 101754–101754. 1 indexed citations
3.
Awad, Mohamad M.. (2024). A New Winter Wheat Crop Segmentation Method Based on a New Fast-UNet Model and Multi-Temporal Sentinel-2 Images. Agronomy. 14(10). 2337–2337. 1 indexed citations
5.
Awad, Mohamad M.. (2022). Evaluation of COVID-19 Reported Statistical Data Using Cooperative Convolutional Neural Network Model (CCNN). COVID. 2(5). 674–690. 1 indexed citations
6.
Awad, Mohamad M.. (2019). An innovative intelligent system based on remote sensing and mathematical models for improving crop yield estimation. Information Processing in Agriculture. 6(3). 316–325. 22 indexed citations
7.
Shaban, Amin, Mohamad M. Awad, Ali J. Ghandour, & Luciano Telesca. (2019). A 32-year aridity analysis: a tool for better understanding on water resources management in Lebanon. Acta Geophysica. 67(4). 1179–1189. 7 indexed citations
8.
Awad, Mohamad M.. (2018). CROP MAPPING USING HYPERSPECTRAL DATA AND TECHNOLOGIES - A COMPARISON BETWEEN DIFFERENT SUPERVISED SEGMENTATION ALGORITHMS. International Multidisciplinary Scientific GeoConference SGEM .... 3 indexed citations
9.
Darwish, Talal, et al.. (2018). Soil Forest Ecosystem and Forest Fire Effect on Soil Organic Carbon Stock in Lebanon. 12(1). 1 indexed citations
10.
Awad, Mohamad M.. (2018). OPTIMIZATION OF CROP YIELD ESTIMATION BASED ON REMOTE SENSING AND NEW MATHEMATICAL MODEL. International Multidisciplinary Scientific GeoConference SGEM .... 1 indexed citations
11.
Awad, Mohamad M.. (2015). Suitability Analysis for Stone pine Reforestation using Geospatial Technologies. International Journal of Advanced Remote Sensing and GIS. 4(1). 1008–1018. 2 indexed citations
12.
Awad, Mohamad M.. (2013). A Morphological Model for Extracting Road Networks from High-Resolution Satellite Images. Journal of Engineering. 2013. 1–9. 15 indexed citations
13.
Awad, Mohamad M.. (2010). An Unsupervised Artificial Neural Network Method for Satellite Image Segmentation. The International Arab Journal of Information Technology. 7. 199–205. 31 indexed citations
14.
Awad, Mohamad M., et al.. (2009). Web Based Meta-database and its Role in Improving Water Resources Management in the Mediterranean Basin. Water Resources Management. 23(13). 2669–2680. 8 indexed citations
15.
Awad, Mohamad M. & Kacem Chehdi. (2009). Satellite image segmentation using hybrid variable genetic algorithm. International Journal of Imaging Systems and Technology. 19(3). 199–207. 6 indexed citations
16.
Awad, Mohamad M., Kacem Chehdi, & Ahmad Nasri. (2009). Multicomponent image segmentation: a comparative analysis between a hybrid genetic algorithm and self‐organizing maps. International Journal of Remote Sensing. 30(3). 595–610. 5 indexed citations
17.
Awad, Mohamad M., Kacem Chehdi, & Ahmad Nasri. (2008). Enhancement of the segmentation process of multi-component images using fusion with Genetic Algorithm. 63. 1–6. 2 indexed citations
18.
Awad, Mohamad M., Kacem Chehdi, & Ahmad Nasri. (2007). Multicomponent Image Segmentation Using a Genetic Algorithm and Artificial Neural Network. IEEE Geoscience and Remote Sensing Letters. 4(4). 571–575. 64 indexed citations
19.
Shaban, Amin, Mohamad Khawlie, Chadi Abdallah, & Mohamad M. Awad. (2005). Hydrological and watershed characteristics of the El‐Kabir River, North Lebanon. Lakes & Reservoirs Science Policy and Management for Sustainable Use. 10(2). 93–101. 28 indexed citations
20.
Khawlie, Mohamad, Mohamad M. Awad, A. Shaban, Rania Bou Kheir, & Chadi Abdallah. (2002). Remote sensing for environmental protection of the eastern Mediterranean rugged mountainous areas, Lebanon. ISPRS Journal of Photogrammetry and Remote Sensing. 57(1-2). 13–23. 28 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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