Nagy Ramadan

613 citations
52 papers · 325 · h-index 9

Impact in

Papers in

Nagy Ramadan

41 papers receiving 306 citations

Peers

Nagy Ramadan
Comparison fields: 5 of 81
  • Software 49
  • Health Informatics 13
  • Information Systems 159
  • Health Information Management 29
  • Artificial Intelligence 115
Replace Yeong-Tae Song with:
Yeong-Tae Song United States
S. V. Subrahmanya India
Muhammad Arif Shah Pakistan
Malek Ahmad Almomani Malaysia
Ahmad Al‐Ahmad Kuwait
José M. Conejero Spain
Hessah A. Alsalamah Saudi Arabia
Rajender Singh Chhillar India
Roberto Rodríguez-Echeverría Spain
Tomasz Górski Poland
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Citations per field
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Yeong-Tae Song · 1×
Citations per year

Countries citing papers authored by Nagy Ramadan

Since Specialization
Citations

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

Fields of papers citing papers by Nagy Ramadan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Nagy Ramadan, 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 Nagy Ramadan Line = papers co-authored together Nagy Ramadan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202379
2 201935
3 201627
4 201819
5 202018
6 202014
7 202212
8 202411
9 201810
10 20198
11 20197
12 20207
13 20177
14 20176
15 20165
16 20205
17
A Fuzzy Approach for Wieger’s Method to Rank Priorities in Requirement Engineering
20174
18 20244
19 20164
20 20243

About Nagy Ramadan

Nagy Ramadan is a scholar working on Information Systems, Artificial Intelligence, Software, Computer Networks and Communications and Health Information Management, having authored 52 papers that have together received 325 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (20 papers), Software Engineering Research (17 papers), Software Reliability and Analysis Research (12 papers), Artificial Intelligence in Healthcare (5 papers), Advanced Malware Detection Techniques (4 papers), Imbalanced Data Classification Techniques (4 papers), Network Security and Intrusion Detection (3 papers) and Big Data and Business Intelligence (3 papers). The work is most often cited by research in Software (49 citations), Health Informatics (13 citations), Information Systems (159 citations), Health Information Management (29 citations) and Artificial Intelligence (115 citations). Nagy Ramadan has collaborated with scholars based in Egypt, United States and Saudi Arabia. Frequent co-authors include Hesham A. Hefny, Ahmed Abdelaziz, Adeel Ahmed, Mohammed Ashraf and Ali Hussein Zolait. Their work appears in journals such as Electronic Government an International Journal, Scientific Reports, Indian Journal of Science and Technology, International Journal of Speech Technology and International journal of intelligent engineering and systems.

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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