Nasir Siddiqui

793 citations
26 papers · 605 indexed · h-index 14
Topics
Chaos-based Image/Signal Encryption (9 papers)Cryptographic Implementations and Security (7 papers)Coding theory and cryptography (6 papers)

In The Last Decade

Nasir Siddiqui

25 papers receiving 586 citations

Peers

Nasir Siddiqui
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 270
  • Artificial Intelligence 237
  • Management Science and Operations Research 168
  • Control and Systems Engineering 112
  • Computational Theory and Mathematics 74
Replace Salih Berkan Aydemı̇r with:
Salih Berkan Aydemı̇r Türkiye
Qian Yu China
Guodong Wang China
G.A. Vijayalakshmi Pai India
Enislay Ramentol Germany
Quan Pan China
Yiting Liu China
Emanuel Ontiveros-Robles Mexico
Hassen T. Dorrah Egypt
Ricardo Tanscheit Brazil
Nasir Siddiqui relative to Salih Berkan Aydemı̇r Türkiye Salih Berkan Aydemı̇r's profile →
Citations per field
00.5×10×20×32×
Salih Berkan Aydemı̇r · 1×
Citations per year

Countries citing papers authored by Nasir Siddiqui

Since Specialization
Citations

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

Fields of papers citing papers by Nasir Siddiqui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nasir Siddiqui

This figure shows the co-authorship network connecting the top 25 collaborators of Nasir Siddiqui. A scholar is included among the top collaborators of Nasir Siddiqui 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 Nasir Siddiqui. Nasir Siddiqui 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
#WorkIndexed citations
1 0
2 1
3 1
4 3
5 1
6 5
7 7
8 58
9 12
10 41
11 20
12 16
13 32
14 16
15 25
16 3
17 7
18 52
19 33
20 13

About Nasir Siddiqui

Nasir Siddiqui is a scholar working on Fluid Flow and Transfer Processes, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 26 papers that have together received 605 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (9 papers), Cryptographic Implementations and Security (7 papers) and Coding theory and cryptography (6 papers). The work is most often cited by research in Management Science and Operations Research (168 citations), Computer Vision and Pattern Recognition (270 citations) and Statistics and Probability (69 citations). Nasir Siddiqui has collaborated with scholars based in Pakistan, Saudi Arabia and United Kingdom. Frequent co-authors include Saleem Abdullah, Muhammad Ehatisham-ul-Haq, Asad Ali, Fazli Amin, Aliya Fahmi, Madad Khan, Iqtadar Hussain, Rehan Ahmed, Muhammad Aslam and Amir Anees. Their work appears in journals such as PLoS ONE, Scientific Reports 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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