Ahmed Abusnaina

888 total citations
27 papers, 550 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 550 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, Amro Awad and Mohammed Abuhamad 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 534 citations

Peers

Ahmed Abusnaina
Comparison fields: 5 of 65
  • Artificial Intelligence 359
  • Signal Processing 247
  • Computer Networks and Communications 240
  • Information Systems 107
  • Computer Vision and Pattern Recognition 61
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Citations per field, relative to Ahmed Abusnaina
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Citations per year, relative to Ahmed Abusnaina
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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

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 2
4 42
5 8
6 34
7 6
8 27
9
Investigating Online Toxicity in Users Interactions with the Mainstream Media Channels on YouTube.
4
10
Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Survey
5
11 35
12 6
13 55
14 115
15 1
16 5
17 8
18 63
19 34
20 1

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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