Omar Alrawi

1.4k total citations · 1 hit paper
28 papers, 817 citations indexed

About

Omar Alrawi is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Omar Alrawi has authored 28 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Signal Processing, 14 papers in Computer Networks and Communications and 13 papers in Information Systems. Recurrent topics in Omar Alrawi's work include Advanced Malware Detection Techniques (19 papers), Network Security and Intrusion Detection (14 papers) and Building Energy and Comfort Optimization (5 papers). Omar Alrawi is often cited by papers focused on Advanced Malware Detection Techniques (19 papers), Network Security and Intrusion Detection (14 papers) and Building Energy and Comfort Optimization (5 papers). Omar Alrawi collaborates with scholars based in United States, Qatar and Saudi Arabia. Omar Alrawi's co-authors include Aziz Mohaisen, Manos Antonakakis, Fabian Monrose, Manar Mohaisen, Sami G. Al‐Ghamdi, Muammer Koç‬, I. Safak Bayram, Brendan Saltaformaggio, Roberto Perdisci and Ruian Duan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Energies.

In The Last Decade

Omar Alrawi

27 papers receiving 783 citations

Hit Papers

SoK: Security Evaluation of Home-Based IoT Deployments 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Omar Alrawi
Comparison fields: 5 of 58
  • Signal Processing 525
  • Computer Networks and Communications 497
  • Artificial Intelligence 339
  • Information Systems 331
  • Electrical and Electronic Engineering 75
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Citations per field, relative to Omar Alrawi
Omar Alrawi · 1×
Citations per year, relative to Omar Alrawi
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Countries citing papers authored by Omar Alrawi

Since Specialization
Citations

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

Fields of papers citing papers by Omar Alrawi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omar Alrawi

This figure shows the co-authorship network connecting the top 25 collaborators of Omar Alrawi. A scholar is included among the top collaborators of Omar Alrawi 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 Omar Alrawi. Omar Alrawi 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 1
2 0
3 2
4 4
5 2
6 3
7 6
8 17
9
Forecasting Malware Capabilities From Cyber Attack Memory Images
8
10
The Circle Of Life: A Large-Scale Study of The IoT Malware Lifecycle.
24
11 54
12 7
13 8
14
The Betrayal At Cloud City: An Empirical Analysis Of Cloud-Based Mobile Backends.
14
15
SoK: Security Evaluation of Home-Based IoT Deployments breakdown →
251
16 37
17 26
18 6
19 7
20
Unveiling Zeus Automated Classification of Malware Samples
9

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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