Mohamed Elaraby

539 total citations · 1 hit paper
17 papers, 306 citations indexed

About

Mohamed Elaraby is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohamed Elaraby has authored 17 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohamed Elaraby's work include Natural Language Processing Techniques (6 papers), Topic Modeling (3 papers) and AI in cancer detection (3 papers). Mohamed Elaraby is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (3 papers) and AI in cancer detection (3 papers). Mohamed Elaraby collaborates with scholars based in Egypt, United States and Canada. Mohamed Elaraby's co-authors include Muhammad Abdul-Mageed, Hamdi A. Mahmoud, Tarek Abd El‐Hafeez, Mahmoud Y. Shams, M. Z. Rashad, Amena Mahmoud, Hanaa Salem, Omar M. Elzeki, Diane Litman and Yang Zhong and has published in prestigious journals such as Biomedical Signal Processing and Control, Multimedia Tools and Applications and BMC Medical Informatics and Decision Making.

In The Last Decade

Mohamed Elaraby

17 papers receiving 283 citations

Hit Papers

Feature reduction for hepatocellular carcinoma prediction... 2024 2026 2025 2024 25 50 75
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.

  1. Feature reduction for hepatocellular carcinoma prediction using machine learning algorithms
    2024 99 citations Hamdi A. Mahmoud, Tarek Abd El‐Hafeez et al. Journal Of Big Data profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Elaraby Egypt 9 180 45 40 34 22 17 306
Entesar Hamed I. Eliwa Saudi Arabia 7 98 0.5× 44 1.0× 22 0.6× 53 1.6× 23 1.0× 17 270
Amr Mohamed El Koshiry Saudi Arabia 6 98 0.5× 42 0.9× 20 0.5× 53 1.6× 23 1.0× 13 261
Shakil Ahmed Bangladesh 8 137 0.8× 31 0.7× 29 0.7× 28 0.8× 10 0.5× 14 238
Dehai Zhang China 11 163 0.9× 63 1.4× 54 1.4× 62 1.8× 27 1.2× 28 301
L. Borrajo Spain 10 195 1.1× 69 1.5× 36 0.9× 53 1.6× 14 0.6× 27 323
Munish Sabharwal India 7 95 0.5× 37 0.8× 26 0.7× 47 1.4× 19 0.9× 41 262
Thulasi Bikku India 8 115 0.6× 48 1.1× 26 0.7× 30 0.9× 16 0.7× 42 244
Nabeel Sabir Khan Pakistan 10 114 0.6× 47 1.0× 27 0.7× 35 1.0× 19 0.9× 13 314
Faris Kateb Saudi Arabia 11 99 0.6× 60 1.3× 33 0.8× 31 0.9× 26 1.2× 35 303
Manish Maheshwari India 7 65 0.4× 91 2.0× 18 0.5× 44 1.3× 13 0.6× 17 276

Countries citing papers authored by Mohamed Elaraby

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Elaraby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Elaraby

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

All Works

17 of 17 papers shown
1.
Mahmoud, Hamdi A., et al.. (2024). The power of deep learning in simplifying feature selection for hepatocellular carcinoma: a review. BMC Medical Informatics and Decision Making. 24(1). 287–287. 37 indexed citations
2.
Mahmoud, Hamdi A., et al.. (2024). Feature reduction for hepatocellular carcinoma prediction using machine learning algorithms. Journal Of Big Data. 11(1). 99 indexed citations breakdown →
3.
Elaraby, Mohamed, Ahmed A. Ewees, & Ahmed M. Anter. (2023). A robust IoT-based cloud model for COVID-19 prediction using advanced machine learning technique. Biomedical Signal Processing and Control. 87. 105542–105542. 9 indexed citations
4.
Elaraby, Mohamed, et al.. (2023). Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining. 120–132. 8 indexed citations
5.
Elaraby, Mohamed, Yang Zhong, & Diane Litman. (2023). Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking. 7601–7612. 4 indexed citations
6.
Elaraby, Mohamed, Omar M. Elzeki, Mahmoud Y. Shams, Amena Mahmoud, & Hanaa Salem. (2021). A novel Gray-Scale spatial exploitation learning Net for COVID-19 by crawling Internet resources. Biomedical Signal Processing and Control. 73. 103441–103441. 22 indexed citations
7.
Elaraby, Mohamed & Mahmoud Y. Shams. (2021). Face retrieval system based on elastic web crawler over cloud computing. Multimedia Tools and Applications. 80(8). 11723–11738. 6 indexed citations
8.
Elaraby, Mohamed, et al.. (2019). A Character Level Convolutional BiLSTM for Arabic Dialect Identification. 274–278. 6 indexed citations
9.
Elaraby, Mohamed, et al.. (2019). A new architecture for improving focused crawling using deep neural network. Journal of Intelligent & Fuzzy Systems. 37(1). 1233–1245. 9 indexed citations
10.
Elaraby, Mohamed & Muhammad Abdul-Mageed. (2018). Deep Models for Arabic Dialect Identification on Benchmarked Data. International Conference on Computational Linguistics. 263–274. 40 indexed citations
11.
Abdul-Mageed, Muhammad, et al.. (2018). You Tweet What You Speak: A City-Level Dataset of Arabic Dialects. Language Resources and Evaluation. 41 indexed citations
12.
Elaraby, Mohamed, et al.. (2018). UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models. 342–347. 3 indexed citations
13.
Elaraby, Mohamed, et al.. (2018). Elastic Web Crawler Service-Oriented Architecture Over Cloud Computing. Arabian Journal for Science and Engineering. 43(12). 8111–8126. 8 indexed citations
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Elaraby, Mohamed. (2012). Crawler Architecture Using Grid Computing. International Journal of Computer Science and Information Technology. 4(3). 113–127. 3 indexed citations
17.
Elaraby, Mohamed, et al.. (2011). Design of optimal fuzzy controller for water level of U-Tube steam generator in nuclear power station. 8 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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