Sarah N. Abdulkader

9 total papers · 618 total citations
6 papers, 391 citations indexed

About

Sarah N. Abdulkader is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Sarah N. Abdulkader has authored 6 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Sarah N. Abdulkader's work include Bluetooth and Wireless Communication Technologies (2 papers), Robotic Path Planning Algorithms (1 paper) and EEG and Brain-Computer Interfaces (1 paper). Sarah N. Abdulkader is often cited by papers focused on Bluetooth and Wireless Communication Technologies (2 papers), Robotic Path Planning Algorithms (1 paper) and EEG and Brain-Computer Interfaces (1 paper). Sarah N. Abdulkader collaborates with scholars based in Egypt and Saudi Arabia. Sarah N. Abdulkader's co-authors include Ayman Atia, Mostafa-Sami M. Mostafa, Atef Z. Ghalwash and Mona Gafar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PeerJ Computer Science and Computers, materials & continua/Computers, materials & continua (Print).

In The Last Decade

Sarah N. Abdulkader

6 papers receiving 371 citations

Author Peers

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

Author Last Decade Papers Cites
Sarah N. Abdulkader 323 156 90 65 61 6 391
Timothy Zeyl 284 0.9× 159 1.0× 74 0.8× 40 0.6× 75 1.2× 13 349
Fabrizio Beverina 368 1.1× 245 1.6× 65 0.7× 47 0.7× 113 1.9× 8 397
G. Palmas 375 1.2× 256 1.6× 67 0.7× 50 0.8× 109 1.8× 7 441
Sofien Gannouni 295 0.9× 100 0.6× 70 0.8× 63 1.0× 72 1.2× 25 427
Rattanaphon Chaisaen 262 0.8× 67 0.4× 64 0.7× 64 1.0× 64 1.0× 8 358
Fatemeh Fahimi 341 1.1× 91 0.6× 92 1.0× 95 1.5× 62 1.0× 11 415
Phattarapong Sawangjai 289 0.9× 58 0.4× 39 0.4× 76 1.2× 55 0.9× 10 395
Shefa A. Dawwd 326 1.0× 126 0.8× 129 1.4× 64 1.0× 105 1.7× 24 421
Minmin Miao 319 1.0× 140 0.9× 77 0.9× 95 1.5× 89 1.5× 24 405
Phairot Autthasan 302 0.9× 81 0.5× 72 0.8× 71 1.1× 65 1.1× 13 371

Countries citing papers authored by Sarah N. Abdulkader

Since Specialization
Citations

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

Fields of papers citing papers by Sarah N. Abdulkader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah N. Abdulkader. 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 Sarah N. Abdulkader. The network helps show where Sarah N. Abdulkader may publish in the future.

Co-authorship network of co-authors of Sarah N. Abdulkader

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah N. Abdulkader. A scholar is included among the top collaborators of Sarah N. Abdulkader 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 Sarah N. Abdulkader. Sarah N. Abdulkader 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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