Almas Abbasi
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Co-authors
- Woo Chaw SengShahaboddin ShamshirbandTimothy Q. DuongBeiyi ShenHaifang LiJocelyn ZhuDalibor PetkovićMilan Protić
- Topics
- Advanced Steganography and Watermarking Techniques (7 papers)Chaos-based Image/Signal Encryption (6 papers)IoT and Edge/Fog Computing (6 papers)
- Partner nations
- PakistanUnited StatesMalaysia
In The Last Decade
Almas Abbasi
26 papers receiving 663 citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Signal Processing 190
- Computer Vision and Pattern Recognition 186
- Information Systems 164
- Radiology, Nuclear Medicine and Imaging 153
- Artificial Intelligence 129
Countries citing papers authored by Almas Abbasi
This map shows the geographic impact of Almas 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 Almas Abbasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Almas Abbasi more than expected).
Fields of papers citing papers by Almas Abbasi
This network shows the impact of papers produced by Almas 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 Almas Abbasi. The network helps show where Almas Abbasi may publish in the future.
Co-authorship network of co-authors of Almas Abbasi
This figure shows the co-authorship network connecting the top 25 collaborators of Almas Abbasi. A scholar is included among the top collaborators of Almas 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 Almas Abbasi. Almas Abbasi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 22 | |
| 6 | 5 | |
| 7 | 38 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 106 | |
| 11 | 54 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 97 | |
| 16 | 15 | |
| 17 | Multi Block based Image Watermarking in Wavelet Domain Using Genetic Programming | 6 |
| 18 | A Novel Technique for Principal Lines Extraction in Palmprint Using Morphological TOP-HAT Filtering | 2 |
| 19 | 2 | |
| 20 | Robust Image Watermarking Using Genetic Programming | 4 |
About Almas Abbasi
Almas Abbasi is a scholar working on Computer Vision and Pattern Recognition, Health Information Management and Computer Networks and Communications, having authored 29 papers that have together received 702 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (7 papers), Chaos-based Image/Signal Encryption (6 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Health Informatics (29 citations), Signal Processing (190 citations) and Computer Vision and Pattern Recognition (186 citations). Almas Abbasi has collaborated with scholars based in Pakistan, United States and Malaysia. Frequent co-authors include Woo Chaw Seng, Shahaboddin Shamshirband, Timothy Q. Duong, Beiyi Shen, Haifang Li, Jocelyn Zhu, Dalibor Petković, Milan Protić, Ljiljana Živković and Miss Laiha Mat Kiah. 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.