Emad A. Mohammed

1.2k total citations
43 papers, 659 citations indexed

About

Emad A. Mohammed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Emad A. Mohammed has authored 43 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Emad A. Mohammed's work include Digital Imaging for Blood Diseases (7 papers), Retinal Imaging and Analysis (6 papers) and Artificial Intelligence in Healthcare (6 papers). Emad A. Mohammed is often cited by papers focused on Digital Imaging for Blood Diseases (7 papers), Retinal Imaging and Analysis (6 papers) and Artificial Intelligence in Healthcare (6 papers). Emad A. Mohammed collaborates with scholars based in Canada, Iraq and Saudi Arabia. Emad A. Mohammed's co-authors include Behrouz H. Far, Christopher Naugler, Ammar El‐Husseiny, Mohamed Mahmoud, Sulaiman A. Alarifi, Abdulazeez Abdulraheem, Murtada Saleh Aljawad, Zeeshan Tariq, Mobeen Murtaza and S. Hossein Hejazi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Emad A. Mohammed

37 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emad A. Mohammed Canada 12 265 126 87 87 72 43 659
Fulufhelo V. Nelwamondo South Africa 15 232 0.9× 140 1.1× 53 0.6× 74 0.9× 12 0.2× 86 737
Daniela Sánchez Mexico 14 433 1.6× 155 1.2× 20 0.2× 87 1.0× 29 0.4× 38 872
Felix Last Germany 4 621 2.3× 108 0.9× 12 0.1× 53 0.6× 89 1.2× 7 870
Md. Sakib Bin Alam Bangladesh 8 194 0.7× 79 0.6× 15 0.2× 44 0.5× 31 0.4× 20 731
Dina Elreedy Egypt 5 287 1.1× 41 0.3× 11 0.1× 39 0.4× 72 1.0× 10 599
Mehmet Fatih Amasyalı Türkiye 12 282 1.1× 149 1.2× 90 1.0× 19 0.2× 14 0.2× 104 593
Miriam Seoane Santos Portugal 11 479 1.8× 68 0.5× 10 0.1× 86 1.0× 110 1.5× 24 835
Jesús Maillo Spain 8 325 1.2× 81 0.6× 14 0.2× 25 0.3× 47 0.7× 10 561
Hamid Saadatfar Iran 12 216 0.8× 52 0.4× 17 0.2× 51 0.6× 122 1.7× 31 551

Countries citing papers authored by Emad A. Mohammed

Since Specialization
Citations

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

Fields of papers citing papers by Emad A. Mohammed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emad A. Mohammed. 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 Emad A. Mohammed. The network helps show where Emad A. Mohammed may publish in the future.

Co-authorship network of co-authors of Emad A. Mohammed

This figure shows the co-authorship network connecting the top 25 collaborators of Emad A. Mohammed. A scholar is included among the top collaborators of Emad A. Mohammed 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 Emad A. Mohammed. Emad A. Mohammed 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.
Mohammed, Emad A., et al.. (2024). Enhancing Choroidal Nevus Position Identification through CNN-Based Segmentation of Eye Fundus Images. PubMed. 2024. 1–4. 1 indexed citations
2.
Mohammed, Emad A., et al.. (2024). ARTIFICIAL INTELLIGENCE BASED HELIPAD DETECTION WITH CONVOLUTIONAL NEURAL NETWORK. SHILAP Revista de lepidopterología. 3(1). 1 indexed citations
3.
Crump, Trafford, et al.. (2024). Artificial intelligence in the classification and segmentation of fundus images with choroidal nevi. Canadian Journal of Ophthalmology. 60(6). 378–383. 2 indexed citations
4.
Mohammed, Emad A., et al.. (2023). Thyroidectomy With or Without Nerve Identification: A Personal Experience and Technique. Cureus. 15(6). e40312–e40312. 2 indexed citations
5.
Crump, Trafford, et al.. (2023). Explaining Eye Diseases Detected by Machine Learning Using SHAP: A Case Study of Diabetic Retinopathy and Choroidal Nevus. SN Computer Science. 4(5). 5 indexed citations
6.
7.
Hassan, Saima, et al.. (2023). Data Diversity in Convolutional Neural Network Based Ensemble Model for Diabetic Retinopathy. Biomimetics. 8(2). 187–187. 11 indexed citations
8.
Mohammed, Emad A., et al.. (2023). Smart energy management system based on load priority. AIP conference proceedings. 2931. 20011–20011.
9.
Mohammed, Emad A.. (2022). The Aesthetic Effect of Semantic Translation on English Texts Translated into Arabic. SHILAP Revista de lepidopterología. 18(36). 409–424.
10.
Mohammed, Emad A., Mohammad Keyhani, Amir Sanati‐Nezhad, S. Hossein Hejazi, & Behrouz H. Far. (2021). An ensemble learning approach to digital corona virus preliminary screening from cough sounds. Scientific Reports. 11(1). 15404–15404. 50 indexed citations
11.
Tariq, Zeeshan, Murtada Saleh Aljawad, Mobeen Murtaza, et al.. (2021). A systematic review of data science and machine learning applications to the oil and gas industry. Journal of Petroleum Exploration and Production Technology. 11(12). 4339–4374. 117 indexed citations
12.
Mohammed, Emad A., et al.. (2021). Estimation of the number of people in an indoor environment based onWiFi received signal strength indicator. Bulletin of Electrical Engineering and Informatics. 10(3). 1475–1483. 1 indexed citations
13.
Mohammed, Emad A., et al.. (2021). A Traditional Machine Learning Approach for COVID-19 Detection from CT Images. 92. 256–263. 1 indexed citations
14.
Yang, Kuo & Emad A. Mohammed. (2020). A Review of Artificial Intelligence Technologies for Early Prediction of Alzheimer's Disease. arXiv (Cornell University). 5 indexed citations
15.
Mohammed, Emad A., et al.. (2019). Euphrates River Water Quality Studies in Iraq: Critical Review. 10(1). 61–66. 2 indexed citations
16.
Mohammed, Emad A. & Christopher Naugler. (2017). Open-source Software for Demand Forecasting of Clinical Laboratory Test Volumes Using Time-series Analysis. Journal of Pathology Informatics. 8(1). 7–7. 5 indexed citations
17.
Mohammed, Emad A., et al.. (2016). Generating unique IDs from patient identification data using security models. Journal of Pathology Informatics. 7(1). 55–55. 8 indexed citations
18.
Mohammed, Emad A.. (2015). Influence of external distortions on multifactor optical identification tags with photoncounting. University of Thi-Qar Journal of Science. 5(2). 88–97. 2 indexed citations
19.
Mohammed, Emad A., et al.. (2014). Peripheral blood smear image analysis: A comprehensive review. Journal of Pathology Informatics. 5(1). 9–9. 43 indexed citations
20.

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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