Mahmoud Othman

500 total citations
26 papers, 297 citations indexed

About

Mahmoud Othman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Mahmoud Othman has authored 26 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Mahmoud Othman's work include Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (4 papers) and Topic Modeling (3 papers). Mahmoud Othman is often cited by papers focused on Sentiment Analysis and Opinion Mining (5 papers), Advanced Text Analysis Techniques (4 papers) and Topic Modeling (3 papers). Mahmoud Othman collaborates with scholars based in Egypt, Saudi Arabia and Malaysia. Mahmoud Othman's co-authors include Ibrahim El-Henawy, Manar Ahmed Hamza, Hesham Hassan, Amira M. Idrees, Mesfer Al Duhayyim, Fahd N. Al‐Wesabi, Ishfaq Yaseen, Abu Sarwar Zamani, Saud S. Alotaibi and Hanan Abdullah Mengash and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainability.

In The Last Decade

Mahmoud Othman

26 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahmoud Othman Egypt 11 136 56 49 44 37 26 297
A.K.M. Muzahidul Islam Bangladesh 10 175 1.3× 76 1.4× 47 1.0× 58 1.3× 44 1.2× 26 323
Pawan Bhaladhare India 5 89 0.7× 28 0.5× 58 1.2× 57 1.3× 23 0.6× 26 246
Yunlei Sun China 7 161 1.2× 63 1.1× 56 1.1× 60 1.4× 65 1.8× 15 384
Asghar Ali Shah Pakistan 11 93 0.7× 39 0.7× 48 1.0× 80 1.8× 93 2.5× 47 403
Yogesh Kumar India 8 99 0.7× 37 0.7× 75 1.5× 40 0.9× 15 0.4× 37 274
P. Dayananda India 11 73 0.5× 30 0.5× 59 1.2× 50 1.1× 26 0.7× 54 286
Md. Anwar Hussen Wadud Bangladesh 13 192 1.4× 113 2.0× 51 1.0× 46 1.0× 21 0.6× 33 379
Ahmed Omar Egypt 8 207 1.5× 47 0.8× 68 1.4× 14 0.3× 20 0.5× 13 379
Rachida Ait Abdelouahid Morocco 11 203 1.5× 49 0.9× 36 0.7× 76 1.7× 67 1.8× 20 455
Munish Sabharwal India 7 95 0.7× 47 0.8× 37 0.8× 37 0.8× 26 0.7× 41 262

Countries citing papers authored by Mahmoud Othman

Since Specialization
Citations

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

Fields of papers citing papers by Mahmoud Othman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahmoud Othman

This figure shows the co-authorship network connecting the top 25 collaborators of Mahmoud Othman. A scholar is included among the top collaborators of Mahmoud Othman 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 Mahmoud Othman. Mahmoud Othman 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.
Motwakel, Abdelwahed, Jaber S. Alzahrani, Ayman Yafoz, et al.. (2024). Fireworks Optimization with Deep Learning-Based Arabic Handwritten Characters Recognition Model. Computer Systems Science and Engineering. 48(5). 1387–1403. 1 indexed citations
2.
Hamza, Manar Ahmed, Mohamed K. Nour, Mahmoud Othman, et al.. (2024). Computational Linguistics Based Arabic Poem Classification and Dictarization Model. Computer Systems Science and Engineering. 48(1). 97–114. 1 indexed citations
3.
Mengash, Hanan Abdullah, Mohammad Alamgeer, Mashael Maashi, et al.. (2023). Leveraging Marine Predators Algorithm with Deep Learning for Lung and Colon Cancer Diagnosis. Cancers. 15(5). 1591–1591. 31 indexed citations
4.
Awais, Muhammad, et al.. (2023). Machine learning and deep learning approaches in IoT. PeerJ Computer Science. 9. e1204–e1204. 9 indexed citations
5.
6.
Alohali, Manal Abdullah, Mohammed Aljebreen, Mahmoud Othman, et al.. (2023). Blockchain-Driven Image Encryption Process with Arithmetic Optimization Algorithm for Security in Emerging Virtual Environments. Sustainability. 15(6). 5133–5133. 8 indexed citations
7.
Hamza, Manar Ahmed, Aisha Hassan Abdalla Hashim, Hadeel Alsolai, et al.. (2023). Wearables-Assisted Smart Health Monitoring for Sleep Quality Prediction Using Optimal Deep Learning. Sustainability. 15(2). 1084–1084. 10 indexed citations
8.
Alsolai, Hadeel, Mashael Maashi, Mahmoud Othman, et al.. (2023). Optimization of Drone Base Station Location for the Next-Generation Internet-of-Things Using a Pre-Trained Deep Learning Algorithm and NOMA. Mathematics. 11(8). 1947–1947. 4 indexed citations
9.
Rizwanullah, Mohammed, et al.. (2023). Leveraging Gradient-Based Optimizer and Deep Learning for Automated Soil Classification Model. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 975–992. 2 indexed citations
10.
Alkahtani, Hend Khalid, Khalid Mahmood, Majdi Khalid, et al.. (2023). Optimal Graph Convolutional Neural Network-Based Ransomware Detection for Cybersecurity in IoT Environment. Applied Sciences. 13(8). 5167–5167. 9 indexed citations
11.
Othman, Mahmoud, et al.. (2023). Identification of Unknown Marine Debris by ROVs Using Deep Learning and Different Convolutional Neural Network Structures. SHILAP Revista de lepidopterología. 0(0). 0–0. 3 indexed citations
12.
Al‐Wesabi, Fahd N., et al.. (2023). Automated sign language detection and classification using reptile search algorithm with hybrid deep learning. Heliyon. 10(1). e23252–e23252. 11 indexed citations
13.
Hamza, Manar Ahmed, Hanan Abdullah Mengash, Saud S. Alotaibi, et al.. (2022). Optimal and Efficient Deep Learning Model for Brain Tumor Magnetic Resonance Imaging Classification and Analysis. Applied Sciences. 12(15). 7953–7953. 13 indexed citations
14.
Hilal, Anwer Mustafa, Dalia H. Elkamchouchi, Saud S. Alotaibi, et al.. (2022). Manta Ray Foraging Optimization with Transfer Learning Driven Facial Emotion Recognition. Sustainability. 14(21). 14308–14308. 6 indexed citations
15.
Al-Baity, Heyam H., Mohamed K. Nour, Ayman Yafoz, et al.. (2022). Computational Linguistics Based Emotion Detection and Classification Model on Social Networking Data. Applied Sciences. 12(19). 9680–9680. 2 indexed citations
16.
Alissa, Khalid, Fatma S. Alrayes, Ayman Yafoz, et al.. (2022). Planet Optimization with Deep Convolutional Neural Network for Lightweight Intrusion Detection in Resource-Constrained IoT Networks. Applied Sciences. 12(17). 8676–8676. 4 indexed citations
17.
Ali, Nouman, et al.. (2022). Face Detection & Recognition from Images & Videos Based on CNN & Raspberry Pi. Computation. 10(9). 148–148. 16 indexed citations
18.
Marzouk, Radwa, Eatedal Alabdulkreem, Sami Dhahbi, et al.. (2022). Deep Transfer Learning Driven Oral Cancer Detection and Classification Model. Computers, materials & continua/Computers, materials & continua (Print). 73(2). 3905–3920. 14 indexed citations
19.
Albraikan, Amani Abdulrahman, et al.. (2022). Modified Barnacles Mating Optimization with Deep Learning Based Weed Detection Model for Smart Agriculture. Applied Sciences. 12(24). 12828–12828. 12 indexed citations
20.
Othman, Mahmoud, et al.. (2021). Automatic Clustering of DNA Sequences With Intelligent Techniques. IEEE Access. 9. 140686–140699. 5 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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