Basil AsSadhan

678 citations
34 papers · 499 · h-index 14

Impact in

Papers in

Basil AsSadhan

33 papers receiving 472 citations

Peers

Basil AsSadhan
Comparison fields: 5 of 49
  • Signal Processing 195
  • Computer Networks and Communications 348
  • Artificial Intelligence 306
  • Information Systems 111
  • Hardware and Architecture 19
Replace Carlos Catania with:
Carlos Catania Argentina
Lianming Zhang China
Lanier Watkins United States
Ravishankar Borgaonkar Germany
Xuehui Du China
Eduardo K. Viegas Brazil
Dongsheng Yang China
Kehe Wu China
Jeffrey S. Chavis United States
Basil AsSadhan relative to Carlos Catania Argentina Carlos Catania's profile →
Citations per field
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Citations per year

Countries citing papers authored by Basil AsSadhan

Since Specialization
Citations

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

Fields of papers citing papers by Basil AsSadhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Basil AsSadhan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Basil AsSadhan Line = papers co-authored together Basil AsSadhan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201962
2 200945
3 202032
4 201931
5 201330
6 200928
7 201724
8 202123
9 201822
10 201921
11 201919
12 202216
13 201716
14 202114
15 202313
16 200813
17 201911
18 202010
19 20209
20 20168

About Basil AsSadhan

Basil AsSadhan is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Electrical and Electronic Engineering, having authored 34 papers that have together received 499 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (23 papers), Internet Traffic Analysis and Secure E-voting (14 papers), Anomaly Detection Techniques and Applications (9 papers), Advanced Malware Detection Techniques (8 papers), Adversarial Robustness in Machine Learning (3 papers), Network Packet Processing and Optimization (3 papers), Blockchain Technology Applications and Security (3 papers) and Network Traffic and Congestion Control (3 papers). The work is most often cited by research in Signal Processing (195 citations), Computer Networks and Communications (348 citations), Artificial Intelligence (306 citations), Information Systems (111 citations) and Hardware and Architecture (19 citations). Basil AsSadhan has collaborated with scholars based in Saudi Arabia, United Kingdom and United States. Frequent co-authors include Sangarapillai Lambotharan, José M. F. Moura, Hamad Binsalleeh, Konstantinos G. Kyriakopoulos, Ibrahim Ghafir, Gan Zheng, David Lapsley, Francisco J. Aparicio‐Navarro, Jalal Al‐Muhtadi and Saleh A. Alshebeili. Their work appears in journals such as IEEE Access, Applied Sciences, Journal of Network and Computer Applications, IEEE Wireless Communications Letters and Multimedia Tools and Applications.

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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