Saima Abdullah

659 citations
24 papers · 433 · h-index 12

Impact in

Papers in

Saima Abdullah

22 papers receiving 417 citations

Peers

Saima Abdullah
Comparison fields: 5 of 56
  • Computer Networks and Communications 237
  • Information Systems 164
  • Computer Vision and Pattern Recognition 81
  • Health Informatics 4
  • Health Information Management 11
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Junhui Du China
Yuxuan Yang China
Ali Rezaee Iran
Adeel Ahmed Pakistan
Subhranshu Sekhar Tripathy India
Deokkyu Kwon South Korea
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Deepsubhra Guha Roy India
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Saima Abdullah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Saima Abdullah Line = papers co-authored together Saima Abdullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202288
2 202235
3 202233
4 202433
5 201330
6 201427
7 202125
8 201821
9 202120
10 202319
11 202218
12 202218
13 202412
14 202412
15 202212
16 202010
17 20198
18 20224
19 20243
20 20222

About Saima Abdullah

Saima Abdullah is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Health Information Management, having authored 24 papers that have together received 433 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (12 papers), Blockchain Technology Applications and Security (8 papers), Advanced Steganography and Watermarking Techniques (6 papers), Internet of Things and AI (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Video Coding and Compression Technologies (3 papers), Chaos-based Image/Signal Encryption (3 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Computer Networks and Communications (237 citations), Information Systems (164 citations), Computer Vision and Pattern Recognition (81 citations), Health Informatics (4 citations) and Health Information Management (11 citations). Saima Abdullah has collaborated with scholars based in Pakistan, Saudi Arabia and United Kingdom. Frequent co-authors include Adeel Ahmed, Kun Yang, Imran Sarwar Bajwa, Nazik Alturki, Leila Jamel, Mamoona Naveed Asghar, Saman Iftikhar, Martin Fleury, Humaira Arshad and Abdulatif Alabdulatif. Their work appears in journals such as IEEE Access, Applied Sciences, Wireless Personal Communications, Multimedia Tools and Applications 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.

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