Rawad Abou Assi

491 citations
16 papers · 348 · h-index 8

Impact in

  • Software top 2%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Software Engineering Research

Papers in

    • Software Testing and Debugging Techniques 12
    • Software Reliability and Analysis Research 9
    • Software Engineering Research 9

Rawad Abou Assi

15 papers receiving 335 citations

Peers

Rawad Abou Assi
Comparison fields: 5 of 32
  • Software 190
  • Information Systems 202
  • Artificial Intelligence 144
  • Computer Networks and Communications 51
  • Signal Processing 18
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Citations per year

Countries citing papers authored by Rawad Abou Assi

Since Specialization
Citations

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

Fields of papers citing papers by Rawad Abou Assi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rawad Abou Assi. 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 Rawad Abou Assi. The network helps show where Rawad Abou Assi may publish in the future.

Co-authors

The 9 scholars most cited alongside Rawad Abou Assi, 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 Rawad Abou Assi Line = papers co-authored together Rawad Abou Assi links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2010130
2 201471
3 201064
4 201919
5 201216
6 201111
7 201310
8 20218
9 20137
10 20183
11 20203
12 20072
13 20112
14 20141
15 20141
16 20090

About Rawad Abou Assi

Rawad Abou Assi is a scholar working on Software, Information Systems, Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 16 papers that have together received 348 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (12 papers), Software Reliability and Analysis Research (9 papers), Software Engineering Research (9 papers), Advanced Malware Detection Techniques (3 papers), Advanced Chemical Sensor Technologies (1 paper), Data Management and Algorithms (1 paper), Advanced Text Analysis Techniques (1 paper) and Energy Efficient Wireless Sensor Networks (1 paper). The work is most often cited by research in Software (190 citations), Information Systems (202 citations), Artificial Intelligence (144 citations), Computer Networks and Communications (51 citations) and Signal Processing (18 citations). Rawad Abou Assi has collaborated with scholars based in Lebanon, Australia and Canada. Frequent co-authors include Wes Masri, Hazem Hajj, Noura Farra, Fadi A. Zaraket, Hamid Mcheick, Souhila Kaci, Marcel Karam, Haı̈dar Safa and Mohamed K. Watfa. Their work appears in journals such as Software Testing Verification and Reliability, ACM Transactions on Software Engineering and Methodology, Information and Software Technology, Proceedings of ... IEEE International Conference on Fuzzy Systems and International Journal of Engineering and Technology.

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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