Sumaya Sanober

27 total papers · 822 total citations
16 papers, 483 citations indexed

About

Sumaya Sanober is a scholar working on Computer Networks and Communications, Education and Statistical and Nonlinear Physics. According to data from OpenAlex, Sumaya Sanober has authored 16 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Education and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Sumaya Sanober's work include Online and Blended Learning (5 papers), Neural Networks Stability and Synchronization (3 papers) and Nonlinear Dynamics and Pattern Formation (2 papers). Sumaya Sanober is often cited by papers focused on Online and Blended Learning (5 papers), Neural Networks Stability and Synchronization (3 papers) and Nonlinear Dynamics and Pattern Formation (2 papers). Sumaya Sanober collaborates with scholars based in Saudi Arabia, India and Malaysia. Sumaya Sanober's co-authors include Quadri Noorulhasan Naveed, Asadullah Shah, M.N. Qureshi, Alhuseen Omar Alsayed, AbdulHafeez Muhammad, Bhupesh Kumar Singh, Kantilal Pitambar Rane, Edeh Michael Onyema, Asadullah Shaikh and Khalid Mohiuddin and has published in prestigious journals such as IEEE Access, Information Sciences and Sustainability.

In The Last Decade

Sumaya Sanober

16 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
Sumaya Sanober	188	133	117	72	65	16	483
Francesca Soro	189 1.0×	102 0.8×	128 1.1×	58 0.8×	26 0.4×	12	489
Anis Farihan Mat Raffei	242 1.3×	58 0.4×	114 1.0×	100 1.4×	44 0.7×	28	485
Zhiting Zhu	191 1.0×	67 0.5×	230 2.0×	149 2.1×	31 0.5×	25	551
Islam Taj-Eddin	211 1.1×	77 0.6×	155 1.3×	44 0.6×	28 0.4×	30	478
Mohammad Alia	124 0.7×	161 1.2×	128 1.1×	28 0.4×	18 0.3×	50	532
Valentin Kuleto	74 0.4×	117 0.9×	150 1.3×	147 2.0×	40 0.6×	19	477
Faten Kharbat	77 0.4×	126 0.9×	111 0.9×	34 0.5×	28 0.4×	43	525
Mohammed Amin Almaiah	76 0.4×	102 0.8×	146 1.2×	27 0.4×	88 1.4×	24	485
Görkem Giray	68 0.4×	79 0.6×	316 2.7×	99 1.4×	16 0.2×	22	470
Ángel Jaramillo-Alcázar	130 0.7×	61 0.5×	201 1.7×	61 0.8×	54 0.8×	30	472

Countries citing papers authored by Sumaya Sanober

Since Specialization

Citations

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

Fields of papers citing papers by Sumaya Sanober

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumaya Sanober

This figure shows the co-authorship network connecting the top 25 collaborators of Sumaya Sanober. A scholar is included among the top collaborators of Sumaya Sanober 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 Sumaya Sanober. Sumaya Sanober 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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