Atta Rahman

4.1k total citations · 1 hit paper
163 papers, 2.4k citations indexed

About

Atta Rahman is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Atta Rahman has authored 163 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 44 papers in Computer Networks and Communications and 32 papers in Information Systems. Recurrent topics in Atta Rahman's work include Advanced Wireless Communication Techniques (14 papers), Artificial Intelligence in Healthcare (13 papers) and Advanced Steganography and Watermarking Techniques (13 papers). Atta Rahman is often cited by papers focused on Advanced Wireless Communication Techniques (14 papers), Artificial Intelligence in Healthcare (13 papers) and Advanced Steganography and Watermarking Techniques (13 papers). Atta Rahman collaborates with scholars based in Saudi Arabia, Pakistan and South Korea. Atta Rahman's co-authors include Muhammad Adnan Khan, Sagheer Abbas, Fahd Alhaidari, Maqsood Mahmud, Dhiaa Musleh, S. Dash, Mohammed Gollapalli, Amir Mosavi, Muhammad Umar Nasir and Mohammed Imran Basheer Ahmed and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Atta Rahman

151 papers receiving 2.2k citations

Hit Papers

Enhancing heart disease prediction using a self-attention... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Atta Rahman Saudi Arabia 28 761 540 389 328 317 163 2.4k
Piyush Kumar Shukla India 30 842 1.1× 587 1.1× 369 0.9× 515 1.6× 341 1.1× 181 2.8k
Kuruva Lakshmanna India 23 876 1.2× 646 1.2× 335 0.9× 420 1.3× 387 1.2× 51 2.7k
Rajesh Kaluri India 21 869 1.1× 649 1.2× 366 0.9× 352 1.1× 274 0.9× 48 2.4k
R. Manikandan India 27 687 0.9× 585 1.1× 388 1.0× 327 1.0× 275 0.9× 148 2.2k
Akash Kumar Bhoi India 26 697 0.9× 325 0.6× 183 0.5× 317 1.0× 347 1.1× 123 2.5k
Sami Bourouis Saudi Arabia 29 845 1.1× 424 0.8× 364 0.9× 596 1.8× 206 0.6× 110 2.5k
Muazzam Maqsood Pakistan 29 913 1.2× 414 0.8× 210 0.5× 456 1.4× 349 1.1× 84 2.6k
Amjad Ali Pakistan 22 643 0.8× 547 1.0× 338 0.9× 233 0.7× 409 1.3× 90 2.3k
Tarik A. Rashid Iraq 33 1.5k 2.0× 532 1.0× 392 1.0× 452 1.4× 494 1.6× 193 3.8k
Dharmendra Singh Rajput India 17 776 1.0× 298 0.6× 246 0.6× 290 0.9× 200 0.6× 95 2.1k

Countries citing papers authored by Atta Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Atta Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atta Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Atta Rahman. A scholar is included among the top collaborators of Atta Rahman 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 Atta Rahman. Atta Rahman 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.
Ahmed, Mohammed Salih, et al.. (2025). Diagnosing Retinal Eye Diseases: A Novel Transfer Learning Approach. Intelligent Automation & Soft Computing. 40(1). 149–175.
2.
Gollapalli, Mohammed, et al.. (2024). Transfer Learning Empowered Skin Diseases Detection in Children. Computer Modeling in Engineering & Sciences. 141(3). 2609–2623.
3.
Rahman, Atta, et al.. (2024). A Deep Learning Approach to Industrial Corrosion Detection. Computers, materials & continua/Computers, materials & continua (Print). 81(2). 2587–2605. 3 indexed citations
4.
Alabbad, Dina A., et al.. (2024). Birthweight Range Prediction and Classification: A Machine Learning-Based Sustainable Approach. SHILAP Revista de lepidopterología. 6(2). 770–788. 9 indexed citations
5.
Rahman, Atta, et al.. (2024). Blockchain Empowered Interoperable Framework for Smart Healthcare. Mathematical Modelling and Engineering Problems. 11(5). 1330–1340. 2 indexed citations
6.
Gollapalli, Mohammed, et al.. (2024). Appendicitis Diagnosis: Ensemble Machine Learning and Explainable Artificial Intelligence-Based Comprehensive Approach. Big Data and Cognitive Computing. 8(9). 108–108. 10 indexed citations
7.
Ahmad, Munir, Atta Rahman, Mohammed Salih Ahmed, et al.. (2023). A Novel Metadata Based Multi-Label Document Classification Technique. Computer Systems Science and Engineering. 46(2). 2195–2214. 11 indexed citations
8.
Khan, Tahir Abbas, Areej Fatima, Tariq Shahzad, et al.. (2023). Secure IoMT for Disease Prediction Empowered With Transfer Learning in Healthcare 5.0, the Concept and Case Study. IEEE Access. 11. 39418–39430. 50 indexed citations
9.
Musleh, Dhiaa, et al.. (2023). Ensemble Learning Based Sustainable Approach to Carbonate Reservoirs Permeability Prediction. Sustainability. 15(19). 14403–14403. 7 indexed citations
10.
Ahmed, Mohammed Imran Basheer, et al.. (2023). A Deep-Learning Approach to Driver Drowsiness Detection. Safety. 9(3). 65–65. 22 indexed citations
11.
Ahmed, Mohammed Imran Basheer, et al.. (2023). Deep Learning Approach to Recyclable Products Classification: Towards Sustainable Waste Management. Sustainability. 15(14). 11138–11138. 51 indexed citations
12.
Rahman, Atta, et al.. (2023). Voting-Based Deep Convolutional Neural Networks (VB-DCNNs) for M-QAM and M-PSK Signals Classification. Electronics. 12(8). 1913–1913. 11 indexed citations
13.
Abbas, Sagheer, Muhammad Adnan Khan, Atta Rahman, et al.. (2022). Development and Validation of Embedded Device for Electrocardiogram Arrhythmia Empowered with Transfer Learning. Computational Intelligence and Neuroscience. 2022. 1–15. 19 indexed citations
14.
Rahman, Atta, et al.. (2022). ECG Classification for Detecting ECG Arrhythmia Empowered with Deep Learning Approaches. Computational Intelligence and Neuroscience. 2022. 1–12. 32 indexed citations
15.
Ghazal, Taher M., Hussam Al Hamadi, Muhammad Umar Nasir, et al.. (2022). Supervised Machine Learning Empowered Multifactorial Genetic Inheritance Disorder Prediction. Computational Intelligence and Neuroscience. 2022. 1–10. 47 indexed citations
16.
Rahman, Atta, Muhammad Umar Nasir, Mohammed Gollapalli, et al.. (2022). Advance Genome Disorder Prediction Model Empowered With Deep Learning. IEEE Access. 10. 70317–70328. 23 indexed citations
17.
Khan, Muhammad Usman Ghani, et al.. (2021). Natural Language Description of Videos for Smart Surveillance. Applied Sciences. 11(9). 3730–3730. 13 indexed citations
18.
Alhaidari, Fahd, Atta Rahman, & Rachid Zagrouba. (2020). Cloud of Things: architecture, applications and challenges. Journal of Ambient Intelligence and Humanized Computing. 14(5). 5957–5975. 40 indexed citations
19.
Qureshi, Ijaz Mansoor, et al.. (2018). Compressed Sensing for Security and Payload Enhancement in Digital Audio Steganography.. J. Inf. Hiding Multim. Signal Process.. 9. 1506–1517. 4 indexed citations
20.
Rahman, Atta, Kiran Sultan, Dhiaa Musleh, et al.. (2018). Robust and Fragile Medical Image Watermarking: A Joint Venture of Coding and Chaos Theories. Journal of Healthcare Engineering. 2018. 1–11. 22 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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