Muhammad Rukunuddin Ghalib

712 total citations
32 papers, 439 citations indexed

About

Muhammad Rukunuddin Ghalib is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Muhammad Rukunuddin Ghalib has authored 32 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 12 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Muhammad Rukunuddin Ghalib's work include Network Security and Intrusion Detection (5 papers), IoT and Edge/Fog Computing (5 papers) and Blockchain Technology Applications and Security (5 papers). Muhammad Rukunuddin Ghalib is often cited by papers focused on Network Security and Intrusion Detection (5 papers), IoT and Edge/Fog Computing (5 papers) and Blockchain Technology Applications and Security (5 papers). Muhammad Rukunuddin Ghalib collaborates with scholars based in India, United Kingdom and United States. Muhammad Rukunuddin Ghalib's co-authors include Kumar Abhishek, Achyut Shankar, Ajay Kumar, Xiaochun Cheng, I. Sumaiya Thaseen, K. Lavanya, Pranav Nerurkar, Zheng Wen, Xin Qi and Qiaozhi Hua and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Multimedia Tools and Applications.

In The Last Decade

Muhammad Rukunuddin Ghalib

30 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Rukunuddin Ghalib India 10 184 173 149 74 46 32 439
Hamed Tabrizchi Iran 9 162 0.9× 206 1.2× 230 1.5× 50 0.7× 46 1.0× 24 518
Wael Alosaimi Saudi Arabia 9 205 1.1× 214 1.2× 178 1.2× 99 1.3× 42 0.9× 12 492
Mina Younan Egypt 9 135 0.7× 148 0.9× 70 0.5× 20 0.3× 72 1.6× 16 393
Muhammad Ahsan Raza Pakistan 13 195 1.1× 272 1.6× 102 0.7× 98 1.3× 74 1.6× 45 573
Wael Said Egypt 13 88 0.5× 151 0.9× 101 0.7× 41 0.6× 91 2.0× 37 426
Chandramohan Dhasarathan India 15 149 0.8× 300 1.7× 199 1.3× 38 0.5× 71 1.5× 49 601
Sanjay Kumar India 13 246 1.3× 98 0.6× 109 0.7× 118 1.6× 51 1.1× 62 418
Arunava Roy United States 11 127 0.7× 83 0.5× 205 1.4× 100 1.4× 65 1.4× 33 406
Johnny S. Wong United States 14 478 2.6× 181 1.0× 161 1.1× 163 2.2× 28 0.6× 47 652

Countries citing papers authored by Muhammad Rukunuddin Ghalib

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Rukunuddin Ghalib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Rukunuddin Ghalib. 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 Muhammad Rukunuddin Ghalib. The network helps show where Muhammad Rukunuddin Ghalib may publish in the future.

Co-authorship network of co-authors of Muhammad Rukunuddin Ghalib

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Rukunuddin Ghalib. A scholar is included among the top collaborators of Muhammad Rukunuddin Ghalib 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 Muhammad Rukunuddin Ghalib. Muhammad Rukunuddin Ghalib 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.
Noel, Mathew Mithra, et al.. (2024). Novel Darknet traffic data synthesis using Generative Adversarial Networks enhanced with oscillatory Growing Cosine Unit activated convolution layers. SHILAP Revista de lepidopterología. 5. 58–65. 2 indexed citations
2.
Rajkumar, S., et al.. (2022). Efficient Shot Boundary Detection with Multiple Visual Representations. Mobile Information Systems. 2022. 1–14. 6 indexed citations
3.
Kumar, Ajay, Kumar Abhishek, Muhammad Rukunuddin Ghalib, Achyut Shankar, & Xiaochun Cheng. (2022). Intrusion detection and prevention system for an IoT environment. Digital Communications and Networks. 8(4). 540–551. 45 indexed citations
4.
Ghalib, Muhammad Rukunuddin, et al.. (2022). A Review on Skin Cancer Detection and Classification using Infrared images. International Journal of Engineering Trends and Technology. 70(4). 403–417. 2 indexed citations
5.
Ghalib, Muhammad Rukunuddin, et al.. (2022). Detection and Classification of Breast Cancer Using Machine Learning Techniques for Ultrasound Images. International Journal of Engineering Trends and Technology. 70(3). 170–178. 2 indexed citations
6.
Thaseen, I. Sumaiya, et al.. (2022). Prediction of IIoT traffic using a modified whale optimization approach integrated with random forest classifier. The Journal of Supercomputing. 78(8). 10725–10756. 23 indexed citations
7.
Abhishek, Kumar, et al.. (2021). Towards Energy Efficient Approx Cache-coherence Protocol Verified using Model Checker. Computers & Electrical Engineering. 97. 107482–107482. 10 indexed citations
8.
Ghalib, Muhammad Rukunuddin, et al.. (2021). GPU-Accelerated implementation of a genetically optimized image encryption algorithm. Soft Computing. 25(22). 14413–14428. 8 indexed citations
9.
Shankar, Achyut, Ajay Kumar, Kumar Abhishek, et al.. (2021). Advanced Deep Learning Algorithms for Infectious Disease ModelingUsing Clinical Data: A Case Study on COVID-19. Current Medical Imaging Formerly Current Medical Imaging Reviews. 18(5). 570–582. 1 indexed citations
10.
Tewari, Anand Shanker, et al.. (2021). User-centric hybrid semi-autoencoder recommendation system. Multimedia Tools and Applications. 81(16). 23091–23104.
11.
Thaseen, I. Sumaiya, et al.. (2020). An intelligent ensemble of long‐short‐term memory with genetic algorithm for network anomaly identification. Transactions on Emerging Telecommunications Technologies. 33(10). 8 indexed citations
12.
13.
Kumar, Ajay, Kumar Abhishek, Muhammad Rukunuddin Ghalib, et al.. (2020). Securing logistics system and supply chain using Blockchain. Applied Stochastic Models in Business and Industry. 37(3). 413–428. 21 indexed citations
14.
Ghalib, Muhammad Rukunuddin, et al.. (2020). A reward based connectivity-aware IoV neighbor selection for improving reliability in healthcare information exchange. Peer-to-Peer Networking and Applications. 13(6). 2112–2122. 8 indexed citations
15.
Kumar, Ajay, Kumar Abhishek, Shishir Kumar Shandilya, & Muhammad Rukunuddin Ghalib. (2020). Malware Analysis Through Random Forest Approach. Journal of Web Engineering. 2 indexed citations
16.
Ghalib, Muhammad Rukunuddin, et al.. (2019). A Hypothyroidism Prediction using Supervised Algorithm. International Journal of Engineering and Advanced Technology. 9(1). 7285–7288. 1 indexed citations
17.
Ghalib, Muhammad Rukunuddin, et al.. (2019). A new healthcare architecture using IoV technology for continuous health monitoring system. Health and Technology. 10(1). 289–302. 8 indexed citations
18.
Ghalib, Muhammad Rukunuddin, et al.. (2017). A hybrid segmentation approach for detection and classification of skin cancer. Biomedical Research-tokyo. 28(16). 6947–6954. 6 indexed citations
19.
Ghalib, Muhammad Rukunuddin, et al.. (2017). Automatic Detection and Classification of Skin Cancer. International journal of intelligent engineering and systems. 10(3). 444–451. 38 indexed citations
20.
Ghalib, Muhammad Rukunuddin. (2015). A naive-bayes approach for disease diagnosis with analysis of disease type and symptoms. 10(11). 29005–29014. 2 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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