Sa’ed Abed

84 papers receiving 745 citations

Peers

Sa’ed Abed
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 240
  • Hardware and Architecture 68
  • Health Information Management 40
  • Artificial Intelligence 255
  • Software 31
Replace Mohammad H. Alshayeji with:
Mohammad H. Alshayeji Kuwait
Haibo Mi China
Chuntao Jiang China
Arabi Keshk Egypt
P. V. G. D. Prasad Reddy India
Mohammed Javed India
Munish Khanna India
Shanjiang Tang China
Muhammad Sardaraz Pakistan
A. Kumaravel India
Sa’ed Abed relative to Mohammad H. Alshayeji Kuwait Mohammad H. Alshayeji's profile →
Citations per field
00.5×2×4×6×7.8×
Mohammad H. Alshayeji · 1×
Citations per year

Countries citing papers authored by Sa’ed Abed

Since Specialization
Citations

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

Fields of papers citing papers by Sa’ed Abed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sa’ed Abed. 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 Sa’ed Abed. The network helps show where Sa’ed Abed may publish in the future.

Co-authors

The 25 scholars most cited alongside Sa’ed Abed, 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 Sa’ed Abed Line = papers co-authored together Sa’ed Abed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202180
2 202155
3 202341
4 201934
5 202133
6 201132
7 202231
8 201629
9 201228
10 201826
11 201824
12 201924
13 201623
14 201318
15 201817
16 202314
17 201814
18 201814
19 202213
20 201312

About Sa’ed Abed

Sa’ed Abed is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 96 papers that have together received 794 indexed citations. Recurring topics across this work include Formal Methods in Verification (20 papers), Software Testing and Debugging Techniques (12 papers), Advanced Steganography and Watermarking Techniques (11 papers), Chaos-based Image/Signal Encryption (11 papers), Low-power high-performance VLSI design (6 papers), Parallel Computing and Optimization Techniques (6 papers), Cloud Computing and Resource Management (5 papers) and Model-Driven Software Engineering Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (240 citations), Hardware and Architecture (68 citations), Health Information Management (40 citations), Artificial Intelligence (255 citations) and Software (31 citations). Sa’ed Abed has collaborated with scholars based in Kuwait, Jordan and Canada. Frequent co-authors include Mohammad H. Alshayeji, Bassam J. Mohd, Sahel Alouneh, Renu Gupta, Thaier Hayajneh, Otmane Aı̈t Mohamed, Sari Sultan, Imtiaz Ahmad, Awni Itradat and Bassam Al‐Naami. Their work appears in journals such as Multimedia Tools and Applications, Expert Systems with Applications, International Journal of Circuit Theory and Applications, Biomedical Signal Processing and Control and Computers & Electrical Engineering.

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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