Ahmed Abusnaina

51 total papers · 885 total citations
27 papers, 544 citations indexed

About

Ahmed Abusnaina is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Ahmed Abusnaina has authored 27 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 13 papers in Signal Processing and 12 papers in Computer Networks and Communications. Recurrent topics in Ahmed Abusnaina's work include Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (11 papers) and Adversarial Robustness in Machine Learning (8 papers). Ahmed Abusnaina is often cited by papers focused on Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (11 papers) and Adversarial Robustness in Machine Learning (8 papers). Ahmed Abusnaina collaborates with scholars based in United States, South Korea and Palestinian Territory. Ahmed Abusnaina's co-authors include Aziz Mohaisen, DaeHun Nyang, Afsah Anwar, Aminollah Khormali, Hisham Alasmary, Majdi Mafarja, Jeman Park, Jinchun Choi, Mohammed Abuhamad and Rosni Abdullah and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Ahmed Abusnaina

27 papers receiving 528 citations

Author Peers

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

Author						Papers	Cites
Ahmed Abusnaina	355	243	237	105	60	27	544
Khair Eddin Sabri	320 0.9×	197 0.8×	374 1.6×	106 1.0×	46 0.8×	34	535
Aminollah Khormali	244 0.7×	184 0.8×	198 0.8×	73 0.7×	104 1.7×	23	533
Carla Purdy	241 0.7×	137 0.6×	216 0.9×	48 0.5×	38 0.6×	67	451
Hongjun Choi	215 0.6×	118 0.5×	281 1.2×	92 0.9×	77 1.3×	50	538
Vincent H. Berk	287 0.8×	198 0.8×	334 1.4×	91 0.9×	63 1.1×	22	447
Kimmo Hätönen	179 0.5×	121 0.5×	258 1.1×	132 1.3×	32 0.5×	30	512
Dejun Mu	372 1.0×	137 0.6×	109 0.5×	89 0.8×	33 0.6×	52	551
Rahul Kumar	358 1.0×	98 0.4×	135 0.6×	113 1.1×	146 2.4×	18	548
Jonathan Oliver	253 0.7×	154 0.6×	144 0.6×	228 2.2×	69 1.1×	27	528
Xiaofeng Wang	268 0.8×	157 0.6×	61 0.3×	121 1.2×	70 1.2×	23	508

Countries citing papers authored by Ahmed Abusnaina

Since Specialization

Citations

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

Fields of papers citing papers by Ahmed Abusnaina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmed Abusnaina

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