Atta Rahman

173 papers receiving 2.7k citations

Atta Rahman's Hit Papers

Enhancing heart disease prediction using a self-attention-based transformer model 2024 · 60 citations
600+1+2Years since publication255075

Peers

Atta Rahman
Comparison fields: 5 of 149
  • Health Information Management 186
  • Computer Networks and Communications 676
  • Artificial Intelligence 875
  • Information Systems 474
  • Health Informatics 25
Replace Kuruva Lakshmanna with:
Kuruva Lakshmanna India
Rajesh Kaluri India
Achyut Shankar India
Ramesh Chandra Poonia India
Mabrook Al‐Rakhami Saudi Arabia
Bighnaraj Naik India
Mohd Khanapi Abd Ghani Malaysia
Kwok Tai Chui Hong Kong
Sami Bourouis Saudi Arabia
Sultan S. Alshamrani Saudi Arabia
Atta Rahman relative to Kuruva Lakshmanna India Kuruva Lakshmanna's profile →
Citations per field
00.5×10×15×20×23.3×
Kuruva Lakshmanna · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Atta Rahman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Atta Rahman Line = papers co-authored together Atta Rahman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022100
2 202299
3
Intrusion Detection System Using Feature Extraction with Machine Learning Algorithms in IoT
Hit paper breakdown →
202395
4 201877
5 201975
6 202064
7 202363
8 202363
9 202363
10 201960
11 202060
12
Enhancing heart disease prediction using a self-attention-based transformer model
Hit paper breakdown →
202460
13 202257
14 202256
15 202353
16 201948
17 202245
18 202044
19 202241
20 202240

About Atta Rahman

Atta Rahman is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 182 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (18 papers), Artificial Intelligence in Healthcare (15 papers), Advanced Steganography and Watermarking Techniques (13 papers), Advanced Wireless Network Optimization (13 papers), Chaos-based Image/Signal Encryption (12 papers), Cooperative Communication and Network Coding (12 papers), IoT and Edge/Fog Computing (10 papers) and Spam and Phishing Detection (9 papers). The work is most often cited by research in Health Information Management (186 citations), Computer Networks and Communications (676 citations), Artificial Intelligence (875 citations), Information Systems (474 citations) and Health Informatics (25 citations). Atta Rahman has collaborated with scholars based in Saudi Arabia, Pakistan and South Korea. Frequent co-authors include Muhammad Adnan Khan, Fahd Alhaidari, Sagheer Abbas, Dhiaa Musleh, Maqsood Mahmud, Muhammad Umar Nasir, Amir Mosavi, Mohammed Gollapalli, Ijaz Mansoor Qureshi and Mohammed Imran Basheer Ahmed. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Computational Intelligence and Neuroscience, Journal of Intelligent & Fuzzy Systems, Sustainability and Big Data and Cognitive Computing.

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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