Abdullah Al Omar

20 total papers · 1.1k total citations
12 papers, 454 citations indexed

About

Abdullah Al Omar is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Abdullah Al Omar has authored 12 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 6 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Abdullah Al Omar's work include Blockchain Technology Applications and Security (7 papers), IoT and Edge/Fog Computing (4 papers) and Cloud Data Security Solutions (2 papers). Abdullah Al Omar is often cited by papers focused on Blockchain Technology Applications and Security (7 papers), IoT and Edge/Fog Computing (4 papers) and Cloud Data Security Solutions (2 papers). Abdullah Al Omar collaborates with scholars based in Bangladesh, United States and United Kingdom. Abdullah Al Omar's co-authors include Mohammad Shahriar Rahman, Md Zakirul Alam Bhuiyan, Anirban Basu, Shinsaku Kiyomoto, Amith Khandakar, Nafees Mansoor, A S M Touhidul Hasan, Md Zakirul Alam Bhuiyan and Guido Governatori and has published in prestigious journals such as IEEE Access, Future Generation Computer Systems and IEEE Transactions on Engineering Management.

In The Last Decade

Abdullah Al Omar

11 papers receiving 429 citations

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Author Peers

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

Author Last Decade Papers Cites
Abdullah Al Omar 377 208 163 46 41 12 454
Sandro Amofa 477 1.3× 259 1.2× 178 1.1× 35 0.8× 42 1.0× 10 517
Hanqing Wu 421 1.1× 221 1.1× 98 0.6× 23 0.5× 61 1.5× 10 500
Mais Tawalbeh 263 0.7× 280 1.3× 135 0.8× 68 1.5× 20 0.5× 8 541
Seyednima Khezr 409 1.1× 245 1.2× 85 0.5× 19 0.4× 56 1.4× 9 507
Ahsan Manzoor 339 0.9× 262 1.3× 141 0.9× 15 0.3× 30 0.7× 13 476
Meryem Ammi 338 0.9× 233 1.1× 99 0.6× 14 0.3× 35 0.9× 15 447
Md Moniruzzaman 372 1.0× 183 0.9× 64 0.4× 18 0.4× 43 1.0× 12 490
Ashraf Jaradat 248 0.7× 170 0.8× 102 0.6× 22 0.5× 37 0.9× 13 410
Na Shi 368 1.0× 217 1.0× 228 1.4× 47 1.0× 14 0.3× 8 542
Jeff Daniels 333 0.9× 159 0.8× 62 0.4× 24 0.5× 60 1.5× 12 465

Countries citing papers authored by Abdullah Al Omar

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Al Omar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah Al Omar

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

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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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