Rashid Abbasi

1.5k citations
41 papers · 915 indexed · h-index 15
Topics
Advanced Steganography and Watermarking Techniques (7 papers)IoT and Edge/Fog Computing (6 papers)Chaos-based Image/Signal Encryption (5 papers)
Partner nations
ChinaPakistanSouth Korea

In The Last Decade

Rashid Abbasi

39 papers receiving 877 citations

Peers

Rashid Abbasi
Comparison fields: 5 of 125
  • Computer Vision and Pattern Recognition 369
  • Neurology 279
  • Artificial Intelligence 230
  • Radiology, Nuclear Medicine and Imaging 145
  • Computer Networks and Communications 103
Replace Muhammad Nazir with:
Muhammad Nazir Pakistan
Galip Aydın Türkiye
Mohammad Abu Yousuf Bangladesh
Marwa Obayya Saudi Arabia
Sandeep Kumar Mathivanan India
Bumshik Lee South Korea
Amr Elchouemi United States
Abdullah Alqahtani Saudi Arabia
Nagwan Abdel Samee Saudi Arabia
Khosro Rezaee Iran
Rashid Abbasi relative to Muhammad Nazir Pakistan Muhammad Nazir's profile →
Citations per field
00.5×1.5×2.3×
Muhammad Nazir · 1×
Citations per year

Countries citing papers authored by Rashid Abbasi

Since Specialization
Citations

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

Fields of papers citing papers by Rashid Abbasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashid Abbasi

This figure shows the co-authorship network connecting the top 25 collaborators of Rashid Abbasi. A scholar is included among the top collaborators of Rashid Abbasi 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 Rashid Abbasi. Rashid Abbasi 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 1
2 2
3 0
4 0
5 5
6 1
7 3
8 14
9 2
10 3
11 8
12 29
13 19
14 49
15 5
16 22
17 14
18 17
19 9
20 4

About Rashid Abbasi

Rashid Abbasi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 41 papers that have together received 915 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (7 papers), IoT and Edge/Fog Computing (6 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Neurology (279 citations), Computer Vision and Pattern Recognition (369 citations) and Artificial Intelligence (230 citations). Rashid Abbasi has collaborated with scholars based in China, Pakistan and South Korea. Frequent co-authors include Amjad Rehman, Farhan Amin, Zahid Mehmood, Sajid Iqbal, Tanzila Saba, Siraj M. Khan, Majid Harouni, Tariq Sadad, Usman Tariq and Asim Munir. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026