Adel Sabry Eesa

682 citations
13 papers · 485 indexed · 1 hit paper · h-index 8
Topics
Advanced Malware Detection Techniques (5 papers)Network Security and Intrusion Detection (5 papers)Anomaly Detection Techniques and Applications (4 papers)
Partner nations
IraqTürkiye

In The Last Decade

Adel Sabry Eesa

12 papers receiving 450 citations

Hit Papers

A novel feature-selection approach based on the cuttlefis...2014202620182022201450100150200250

Peers

Adel Sabry Eesa
Comparison fields: 5 of 77
  • Artificial Intelligence 304
  • Computer Networks and Communications 228
  • Signal Processing 138
  • Computer Vision and Pattern Recognition 69
  • Information Systems 53
Replace Fanzhi Meng with:
Fanzhi Meng China
I. Sumaiya Thaseen India
Wathiq Laftah Al-Yaseen Iraq
Abdulla Amin Aburomman Malaysia
Saihua Cai China
Vani Rajasekar India
Jie Yu China
Makhlouf Derdour Algeria
Nannan Lu China
Adel Sabry Eesa relative to Fanzhi Meng China Fanzhi Meng's profile →
Citations per field
00.5×7.5×
Fanzhi Meng · 1×
Citations per year

Countries citing papers authored by Adel Sabry Eesa

Since Specialization
Citations

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

Fields of papers citing papers by Adel Sabry Eesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adel Sabry Eesa. 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 Adel Sabry Eesa. The network helps show where Adel Sabry Eesa may publish in the future.

Co-authorship network of co-authors of Adel Sabry Eesa

This figure shows the co-authorship network connecting the top 25 collaborators of Adel Sabry Eesa. A scholar is included among the top collaborators of Adel Sabry Eesa 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 Adel Sabry Eesa. Adel Sabry Eesa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 2
2 0
3 15
4 8
5 6
6 19
7 7
8 6
9 66
10 13
11 32
12 27
13
A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systemsbreakdown →
284

About Adel Sabry Eesa

Adel Sabry Eesa is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 13 papers that have together received 485 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (5 papers), Network Security and Intrusion Detection (5 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Signal Processing (138 citations), Computer Networks and Communications (228 citations) and Artificial Intelligence (304 citations). Adel Sabry Eesa has collaborated with scholars based in Iraq and Türkiye. Frequent co-authors include Zeynep Orman, Adnan Mohsin Abdulazeez Brifcani, Masoud Muhammed Hassan, Adnan Mohsin Abdulazeez, Ramadhan J. Mstafa and Abdullah A. Abdullah. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computers, materials & continua/Computers, materials & continua (Print).

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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