Saeed Arif Shah

507 citations
26 papers · 372 indexed · h-index 9

Saeed Arif Shah

24 papers receiving 347 citations

Peers

Saeed Arif Shah
Comparison fields: 5 of 89
  • Health Information Management 20
  • Psychiatry and Mental health 58
  • Cardiology and Cardiovascular Medicine 83
  • Artificial Intelligence 107
  • Computer Vision and Pattern Recognition 65
Replace Kamlesh Jha with:
Kamlesh Jha India
Ayşegül Güven Türkiye
Yifei Bi China
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Citations per year

Countries citing papers authored by Saeed Arif Shah

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Arif Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saeed Arif Shah. 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 Saeed Arif Shah. The network helps show where Saeed Arif Shah may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Saeed Arif Shah, 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 Saeed Arif Shah Line = papers co-authored together Saeed Arif Shah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20221
3 20218
4 20203
5 20205
6
Randomized Dynamic Quantum CPU Scheduling Algorithm
20181
7 20188
8
Complexity analysis of EEG motor movement with eye open and close subjects using multiscale permutation entropy (MPE) technique
201723
9 201774
10
Comparative Emission Analysis Of Bituminous Coal, Sugarcane Bagasse and Rice Husk
20164
11 201678
12
THE FUTURE PROSPECTIVE OF GENOMIC BIOTECHNOLOGY IN ANIMAL BREEDING: THEIR POTENTIAL FOR LIVESTOCK PRODUCTION IN PAKISTAN
20133
13 201117
14 20112
15 20116
16 201113
17
Owner Verification and Copyright Protection of Relational Data.
20062
18 20064
19 20062
20 200055

About Saeed Arif Shah

Saeed Arif Shah is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 372 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (6 papers), Advanced Steganography and Watermarking Techniques (6 papers), EEG and Brain-Computer Interfaces (6 papers), Chaos-based Image/Signal Encryption (4 papers), Cryptography and Data Security (3 papers), Privacy-Preserving Technologies in Data (3 papers), Neural dynamics and brain function (2 papers) and Vehicle emissions and performance (2 papers). The work is most often cited by research in Health Information Management (20 citations), Psychiatry and Mental health (58 citations) and Cardiology and Cardiovascular Medicine (83 citations). Saeed Arif Shah has collaborated with scholars based in Pakistan, Saudi Arabia and United States. Frequent co-authors include Lal Hussain, Imtiaz Ahmed Awan, Sharjil Saeed, Abdul Majid, Wajid Aziz, Adnan Idris, Xingming Sun, Saima Rathore, Natalya Paykina and Henggui Zhang. Their work appears in journals such as PLoS ONE, IEEE Access and Antibiotics.

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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