Almas Abbasi

28 papers and 574 indexed citations i.

About

Almas Abbasi is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Almas Abbasi has authored 28 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Networks and Communications and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Almas Abbasi’s work include Advanced Steganography and Watermarking Techniques (6 papers), IoT and Edge/Fog Computing (6 papers) and Chaos-based Image/Signal Encryption (5 papers). Almas Abbasi is often cited by papers focused on Advanced Steganography and Watermarking Techniques (6 papers), IoT and Edge/Fog Computing (6 papers) and Chaos-based Image/Signal Encryption (5 papers). Almas Abbasi collaborates with scholars based in Pakistan, United States and Saudi Arabia. Almas Abbasi's co-authors include Woo Chaw Seng, Shahaboddin Shamshirband, Beiyi Shen, Timothy Q. Duong, Haifang Li, Dalibor Petković, Miss Laiha Mat Kiah, Milan Protić, Ljiljana Živković and Aaqif Afzaal Abbasi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Energy.

In The Last Decade

Co-authorship network of co-authors of Almas Abbasi i

Fields of papers citing papers by Almas Abbasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Almas Abbasi

Since Specialization
Citations

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).

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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2025