Fatma S. Alrayes

65 total papers · 689 total citations
55 papers, 386 citations indexed

About

Fatma S. Alrayes is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Fatma S. Alrayes has authored 55 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 28 papers in Artificial Intelligence and 17 papers in Signal Processing. Recurrent topics in Fatma S. Alrayes's work include Network Security and Intrusion Detection (30 papers), Advanced Malware Detection Techniques (17 papers) and Anomaly Detection Techniques and Applications (16 papers). Fatma S. Alrayes is often cited by papers focused on Network Security and Intrusion Detection (30 papers), Advanced Malware Detection Techniques (17 papers) and Anomaly Detection Techniques and Applications (16 papers). Fatma S. Alrayes collaborates with scholars based in Saudi Arabia, Egypt and United Kingdom. Fatma S. Alrayes's co-authors include Alia I. Abdelmoty, Abdelwahed Motwakel, Saud S. Alotaibi, Khalid Alissa, Oumaima Saidani, Mashael Maashi, Mesfer Al Duhayyim, Mohammed Zakariah, Mohammed Maray and Zafar Iqbal Khan and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Fatma S. Alrayes

42 papers receiving 362 citations

Author Peers

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

Author						Papers	Cites
Fatma S. Alrayes	179	165	92	64	55	55	386
Yali Gao	225 1.3×	138 0.8×	93 1.0×	34 0.5×	129 2.3×	44	418
Xin Xie	71 0.4×	154 0.9×	75 0.8×	79 1.2×	31 0.6×	58	392
Ruxin Zhao	124 0.7×	223 1.4×	64 0.7×	66 1.0×	75 1.4×	30	400
Shailendra Aswale	118 0.7×	134 0.8×	43 0.5×	53 0.8×	60 1.1×	43	386
Mohammed Maray	134 0.7×	111 0.7×	44 0.5×	58 0.9×	73 1.3×	58	348
Hany Harb	143 0.8×	195 1.2×	34 0.4×	44 0.7×	120 2.2×	47	428
Balasubramanian Prabhu Kavin	156 0.9×	162 1.0×	47 0.5×	60 0.9×	140 2.5×	38	440
Nadhem Nemri	102 0.6×	167 1.0×	56 0.6×	78 1.2×	72 1.3×	49	419
Christos Chrysoulas	169 0.9×	128 0.8×	60 0.7×	28 0.4×	110 2.0×	45	363
Ayman Yafoz	116 0.6×	137 0.8×	54 0.6×	46 0.7×	46 0.8×	54	340

Countries citing papers authored by Fatma S. Alrayes

Since Specialization

Citations

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

Fields of papers citing papers by Fatma S. Alrayes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fatma S. Alrayes. 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 Fatma S. Alrayes. The network helps show where Fatma S. Alrayes may publish in the future.

Co-authorship network of co-authors of Fatma S. Alrayes

This figure shows the co-authorship network connecting the top 25 collaborators of Fatma S. Alrayes. A scholar is included among the top collaborators of Fatma S. Alrayes 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 Fatma S. Alrayes. Fatma S. Alrayes 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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