Osama Elsherbiny

1.1k total citations · 2 hit papers
39 papers, 742 citations indexed

About

Osama Elsherbiny is a scholar working on Plant Science, Ecology and Water Science and Technology. According to data from OpenAlex, Osama Elsherbiny has authored 39 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 13 papers in Ecology and 11 papers in Water Science and Technology. Recurrent topics in Osama Elsherbiny's work include Remote Sensing in Agriculture (13 papers), Leaf Properties and Growth Measurement (11 papers) and Water Quality and Pollution Assessment (10 papers). Osama Elsherbiny is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Leaf Properties and Growth Measurement (11 papers) and Water Quality and Pollution Assessment (10 papers). Osama Elsherbiny collaborates with scholars based in Egypt, Saudi Arabia and China. Osama Elsherbiny's co-authors include Salah Elsayed, Mohamed Gad, Zhengjun Qiu, Lei Zhou, Hekmat Ibrahim, Aissam Gaagai, Mohamed Hamdy Eid, Farahat S. Moghanm, Adel H. Elmetwalli and Hend Hussein and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Osama Elsherbiny

35 papers receiving 711 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.

Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria

2023 105 citations Aissam Gaagai, Hani Amir Aouissi et al. Water profile →
Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview

2025 25 citations Mohamed Farag Taha, Hanping Mao et al. Agriculture profile →

Peers

Countries citing papers authored by Osama Elsherbiny

Since Specialization

Citations

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

Fields of papers citing papers by Osama Elsherbiny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Osama Elsherbiny

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

#	Work	Indexed citations
1	Deep neural networks model for accurate photovoltaic parameter estimation under variable weather conditions 2025 ·Solar Energy ·(unknown), (unknown), Osama Elsherbiny, (unknown), (unknown)	1
2	Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops 2025 ·PLoS ONE ·Salah Elsayed, (unknown), (unknown), (unknown), Ahmed Elbeltagi, Ali Salem, Abdallah Elshawadfy Elwakeel, Osama Elsherbiny, (unknown)	3
3	Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview breakdown → 2025 ·Agriculture ·Mohamed Farag Taha, Hanping Mao, (unknown), Gamal ElMasry, (unknown), Alwaseela Abdalla, (unknown), Abdallah Elshawadfy Elwakeel, Osama Elsherbiny	25
4	Precision farming: Using an IoT multimodal data-driven deep network to optimize irrigation in wheat crops 2025 ·Expert Systems with Applications ·Osama Elsherbiny, Lei Zhou, Yong He, Zhengjun Qiu	0
5	Recent Advances in Detection and Control Strategies for Foodborne Bacteria in Raw and Ready‐to‐Eat Fruits and Vegetables 2025 ·Food Frontiers ·Asem M. Abdelshafy, (unknown), Ahmed I. Osman, (unknown), (unknown), (unknown), Osama Elsherbiny, Ahmed K. Rashwan	5
6	Developing an IoT-driven delta robot to stimulate the growth of mulberry branch cuttings cultivated aeroponically using machine vision technology 2025 ·Computers and Electronics in Agriculture ·Osama Elsherbiny, Jianmin Gao, Ming Ma, Waqar Qureshi, (unknown)	3
7	Incorporation of visible/near-infrared spectroscopy and machine learning models for indirect assessment of grape ripening indicators 2025 ·Scientific Reports ·Osama Elsherbiny, Salah El-Hendawy, Salah Elsayed, Abdallah Elshawadfy Elwakeel, (unknown), (unknown), Wael M. Elmessery, (unknown)	1
8	Boosting Aeroponic System Development with Plasma and High-Efficiency Tools: AI and IoT—A Review 2025 ·Agronomy ·Waqar Qureshi, Jianmin Gao, Osama Elsherbiny, (unknown), Mazhar Hussain Tunio, (unknown)	7
9	Rapid Grapevine Health Diagnosis Based on Digital Imaging and Deep Learning 2024 ·Plants ·Osama Elsherbiny, Ahmed Elaraby, (unknown), Mosab Hamdan, (unknown)	15
10	Advancing lettuce physiological state recognition in IoT aeroponic systems: A meta-learning-driven data fusion approach 2024 ·European Journal of Agronomy ·Osama Elsherbiny, Jianmin Gao, Ming Ma, (unknown), Mazhar Hussain Tunio, (unknown)	14
11	Design, construction and field testing of a manually feeding semiautomatic sugarcane bud chipper 2024 ·Scientific Reports ·Abdallah Elshawadfy Elwakeel, (unknown), (unknown), (unknown), Salah Elsayed, Osama Elsherbiny, Aitazaz A. Farooque, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬	8
12	Potential of Thermal and RGB Imaging Combined with Artificial Neural Networks for Assessing Salt Tolerance of Wheat Genotypes Grown in Real-Field Conditions 2024 ·Agronomy ·Salah El-Hendawy, Muhammad Usman Tahir, Nasser Al-Suhaibani, Salah Elsayed, Osama Elsherbiny, (unknown)	15
13	Application of Water Quality Indices, Machine Learning Approaches, and GIS to Identify Groundwater Quality for Irrigation Purposes: A Case Study of Sahara Aquifer, Doucen Plain, Algeria breakdown → 2023 ·Water ·Aissam Gaagai, Hani Amir Aouissi, (unknown), Gilbert Hinge, (unknown), Salim Heddam, Mohamed Gad, Osama Elsherbiny, Salah Elsayed, Mohamed Hamdy Eid, Hekmat Ibrahim	105
14	Applying Multivariate Analysis and Machine Learning Approaches to Evaluating Groundwater Quality on the Kairouan Plain, Tunisia 2023 ·Water ·(unknown), Aissam Gaagai, (unknown), Amor Ben Moussa, Kamel Zouari, Krishna Kumar Yadav, Mohamed Hamdy Eid, Mostafa R. Abukhadra, Ahmed M. El‐Sherbeeny, Mohamed Gad, Mohamed Farouk, Osama Elsherbiny, Salah Elsayed, Stefano Bellucci, Hekmat Ibrahim	54
15	Estimating Chlorophyll Content, Production, and Quality of Sugar Beet under Various Nitrogen Levels Using Machine Learning Models and Novel Spectral Indices 2023 ·Agronomy ·Salah Elsayed, Salah El-Hendawy, Osama Elsherbiny, (unknown), Adel H. Elmetwalli, Abdallah Elshawadfy Elwakeel, Muhammad Sohail Memon, (unknown), (unknown)	20
16	Using Optimized Three-Band Spectral Indices and a Machine Learning Model to Assess Squash Characteristics under Moisture and Potassium Deficiency Stress 2023 ·Horticulturae ·Mohamed Sharaf‐Eldin, Salah Elsayed, Adel H. Elmetwalli, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Farahat S. Moghanm, Mohssen Elbagory, Sahar El-Nahrawy, Alaa El-Dein Omara, Andrew N. Tyler, Osama Elsherbiny	5
17	Evaluating the Efficacy of Sentinel-2B and Landsat-8 for Estimating and Mapping Wheat Straw Cover in Rice–Wheat Fields 2023 ·Agronomy ·Muhammad Sohail Memon, Shuren Chen, Yaxiao Niu, Weiwei Zhou, Osama Elsherbiny, (unknown), Zhiqiang Du, Xianfeng Gu	17
18	Combining Thermal and RGB Imaging Indices with Multivariate and Data-Driven Modeling to Estimate the Growth, Water Status, and Yield of Potato under Different Drip Irrigation Regimes 2021 ·Remote Sensing ·Salah Elsayed, Salah El-Hendawy, Mosaad Khadr, Osama Elsherbiny, Nasser Al-Suhaibani, Majed A. Alotaibi, Muhammad Usman Tahir, (unknown)	26
19	Integration of Spectral Reflectance Indices and Adaptive Neuro-Fuzzy Inference System for Assessing the Growth Performance and Yield of Potato under Different Drip Irrigation Regimes 2021 ·Chemosensors ·Salah Elsayed, Salah El-Hendawy, Mosaad Khadr, Osama Elsherbiny, Nasser Al-Suhaibani, Yaser Hassan Dewir, Muhammad Usman Tahir, Muhammad Mubushar, (unknown)	15
20	Estimating the Leaf Water Status and Grain Yield of Wheat under Different Irrigation Regimes Using Optimized Two- and Three-Band Hyperspectral Indices and Multivariate Regression Models 2021 ·Water ·Salah Elsayed, Salah El-Hendawy, Yaser Hassan Dewir, Urs Schmidhalter, (unknown), (unknown), Osama Elsherbiny, Mohamed Farouk	19

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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