Saima Abdullah

30 total papers · 570 total citations
22 papers, 343 citations indexed

About

Saima Abdullah is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Saima Abdullah has authored 22 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 10 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Saima Abdullah's work include IoT and Edge/Fog Computing (12 papers), Blockchain Technology Applications and Security (7 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Saima Abdullah is often cited by papers focused on IoT and Edge/Fog Computing (12 papers), Blockchain Technology Applications and Security (7 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Saima Abdullah collaborates with scholars based in Pakistan, Saudi Arabia and United Kingdom. Saima Abdullah's co-authors include Adeel Ahmed, Kun Yang, Imran Sarwar Bajwa, Mamoona Naveed Asghar, Saman Iftikhar, Martin Fleury, Leila Jamel, Nazik Alturki, Humaira Arshad and Rafaqut Kazmi and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

Saima Abdullah

20 papers receiving 322 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Saima Abdullah 200 135 78 68 48 22 343
Mohammed Q. Shatnawi 217 1.1× 98 0.7× 86 1.1× 43 0.6× 69 1.4× 34 349
Vandana Rohokale 207 1.0× 103 0.8× 98 1.3× 28 0.4× 49 1.0× 19 301
Megha Quamara 245 1.2× 143 1.1× 72 0.9× 43 0.6× 79 1.6× 17 395
Shahab Tayeb 165 0.8× 78 0.6× 88 1.1× 39 0.6× 107 2.2× 35 332
Quazi Mamun 216 1.1× 79 0.6× 110 1.4× 49 0.7× 102 2.1× 39 351
V. Arulkumar 95 0.5× 96 0.7× 52 0.7× 126 1.9× 95 2.0× 20 374
Santosh Pattar 212 1.1× 126 0.9× 62 0.8× 67 1.0× 92 1.9× 22 360
Rajesh Kumar 145 0.7× 115 0.9× 72 0.9× 44 0.6× 33 0.7× 22 307
Takayuki Kushida 309 1.5× 144 1.1× 46 0.6× 74 1.1× 39 0.8× 20 390
Muhammad Irfan Khalid 92 0.5× 127 0.9× 38 0.5× 103 1.5× 102 2.1× 21 361

Countries citing papers authored by Saima Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Saima Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saima Abdullah

This figure shows the co-authorship network connecting the top 25 collaborators of Saima Abdullah. A scholar is included among the top collaborators of Saima Abdullah 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 Saima Abdullah. Saima Abdullah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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