Atta Rahman

153 papers receiving 2.4k citations

Atta Rahman's Hit Papers

Enhancing heart disease prediction using a self-attention-based transformer model 2024 · 57 citations
570+1Years since publication1020304050

Peers

Atta Rahman
Comparison fields: 5 of 148
  • Health Information Management 166
  • Computer Networks and Communications 556
  • Artificial Intelligence 770
  • Health Informatics 24
  • Information Systems 399
Replace Kuruva Lakshmanna with:
Kuruva Lakshmanna India
Rajesh Kaluri India
Bighnaraj Naik India
Mohammad Shabaz India
Akash Kumar Bhoi India
Bhisham Sharma India
Kavita Kavita India
Md. Ashraf Uddin Bangladesh
Achyut Shankar India
Umesh Kumar Lilhore India
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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 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202297
2 202294
3 202386
4 201972
5 201870
6 202063
7 202359
8 202359
9 202359
10 202057
11
Enhancing heart disease prediction using a self-attention-based transformer model
Hit paper breakdown →
202457
12 202255
13 201952
14 202351
15 202250
16 202244
17 202041
18 202240
19 202239
20 202338

About Atta Rahman

Atta Rahman is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 162 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (14 papers), Advanced Steganography and Watermarking Techniques (13 papers), Artificial Intelligence in Healthcare (13 papers), Chaos-based Image/Signal Encryption (12 papers), Cooperative Communication and Network Coding (10 papers), Advanced Wireless Network Optimization (10 papers), IoT and Edge/Fog Computing (8 papers) and Digital Media Forensic Detection (8 papers). The work is most often cited by research in Health Information Management (166 citations), Computer Networks and Communications (556 citations), Artificial Intelligence (770 citations), Health Informatics (24 citations) and Information Systems (399 citations). Atta Rahman has collaborated with scholars based in Saudi Arabia, Pakistan and South Korea. Frequent co-authors include Muhammad Adnan Khan, Sagheer Abbas, Fahd Alhaidari, Dhiaa Musleh, Maqsood Mahmud, Amir Mosavi, Muhammad Umar Nasir, Mohammed Gollapalli, Mohammed Imran Basheer Ahmed and Muhammad Farhan Khan. 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 IEEE Access.

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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