Saqib Ali

645 total citations
34 papers, 366 citations indexed

About

Saqib Ali is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Saqib Ali has authored 34 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in Saqib Ali's work include Vehicle License Plate Recognition (5 papers), Network Security and Intrusion Detection (5 papers) and Handwritten Text Recognition Techniques (5 papers). Saqib Ali is often cited by papers focused on Vehicle License Plate Recognition (5 papers), Network Security and Intrusion Detection (5 papers) and Handwritten Text Recognition Techniques (5 papers). Saqib Ali collaborates with scholars based in Pakistan, China and United States. Saqib Ali's co-authors include Guojun Wang, Bebo White, Zeeshan Shaukat, Shazia Riaz, Md Zakirul Alam Bhuiyan, Tariq Mahmood, Muhammad Azeem, Hai Jiang, Khalil Ur Rehman and Guojun Wang and has published in prestigious journals such as PLoS ONE, IEEE Access and Future Generation Computer Systems.

In The Last Decade

Saqib Ali

29 papers receiving 350 citations

Peers

Saqib Ali
Comparison fields: 5 of 77
  • Information Systems 128
  • Artificial Intelligence 111
  • Computer Networks and Communications 99
  • Computer Vision and Pattern Recognition 87
  • Media Technology 39
Replace M. Venkatesan with:
M. Venkatesan India
Sonajharia Minz India
Navneet Kaur India
Yosra Hajjaji Tunisia
Marten Fischer Germany
B M Mainul Hossain Bangladesh
Susheela Dahiya India
S Raghavendra India
Mehmet Sabih Aksoy Saudi Arabia
Ashraf Y. A. Maghari Palestinian Territory
M. Venkatesan India View profile →
Citations per field, relative to Saqib Ali
Saqib Ali · 1×
Citations per year, relative to Saqib Ali
Saqib Ali · 1×

Countries citing papers authored by Saqib Ali

Since Specialization
Citations

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

Fields of papers citing papers by Saqib Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saqib Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Saqib Ali. A scholar is included among the top collaborators of Saqib Ali 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 Saqib Ali. Saqib Ali 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
# Work Indexed citations
1 0
2 0
3 11
4 0
5 12
6 2
7 2
8 12
9 2
10 27
11 2
12 3
13 3
14 30
15 3
16 49
17 7
18 4
19 1
20 5

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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