Fathy Eassa

974 citations
85 papers · 554 · h-index 13

Impact in

    • Blockchain Technology Applications and Security
    • Software Engineering Research
    • Cloud Computing and Resource Management
  • Software top 10%

Papers in

Fathy Eassa

71 papers receiving 526 citations

Peers

Fathy Eassa
Comparison fields: 5 of 64
  • Information Systems 301
  • Software 50
  • Computer Networks and Communications 279
  • Hardware and Architecture 47
  • Artificial Intelligence 169
Replace Rakesh Kumar Lenka with:
Rakesh Kumar Lenka India
Jang‐Eui Hong South Korea
Abdelouahed Gherbi Canada
Amardeo Sarma Portugal
Ermeson Andrade Brazil
Weizhong Qiang China
Ilaria Matteucci Italy
Seyed Morteza Babamir Iran
Tianbo Lu China
Luigi Coppolino Italy
Fathy Eassa relative to Rakesh Kumar Lenka India Rakesh Kumar Lenka's profile →
Citations per field
00.5×3.0×
Rakesh Kumar Lenka · 1×
Citations per year

Countries citing papers authored by Fathy Eassa

Since Specialization
Citations

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

Fields of papers citing papers by Fathy Eassa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202162
2 202039
3 202238
4 202032
5 202332
6 202221
7 202217
8 201416
9 202316
10 202216
11 202314
12 202114
13 202312
14 201612
15 202411
16 201910
17 20229
18 20238
19 20198
20 20208

About Fathy Eassa

Fathy Eassa is a scholar working on Computer Networks and Communications, Information Systems, Software, Hardware and Architecture and Artificial Intelligence, having authored 85 papers that have together received 554 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (16 papers), Blockchain Technology Applications and Security (15 papers), Parallel Computing and Optimization Techniques (15 papers), Network Security and Intrusion Detection (14 papers), Software Testing and Debugging Techniques (12 papers), Software Engineering Research (11 papers), IoT and Edge/Fog Computing (11 papers) and Software Reliability and Analysis Research (10 papers). The work is most often cited by research in Information Systems (301 citations), Software (50 citations), Computer Networks and Communications (279 citations), Hardware and Architecture (47 citations) and Artificial Intelligence (169 citations). Fathy Eassa has collaborated with scholars based in Saudi Arabia, Egypt and Sweden. Frequent co-authors include Kamal Jambi, Maher Khemakhem, Khalid Ali Almarhabi, Abdullah Alghamdi, Lamiaa A. Elrefaei, Mohammad Yamin, Khalid Alsubhi, Ahmed Mohammed Alghamdi, Abdullah Ali and Siti Mariyam Shamsuddin. Their work appears in journals such as IEEE Access, Electronics, Symmetry, Applied Sciences and Drones.

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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