Omar M. Elzeki

934 citations
17 papers · 603 indexed · h-index 12
Topics
COVID-19 diagnosis using AI (4 papers)Machine Learning in Healthcare (2 papers)Explainable Artificial Intelligence (XAI) (2 papers)
Partner nations
EgyptSaudi ArabiaGermany

In The Last Decade

Omar M. Elzeki

17 papers receiving 567 citations

Peers

Omar M. Elzeki
Comparison fields: 5 of 114
  • Artificial Intelligence 186
  • Computer Networks and Communications 136
  • Information Systems 136
  • Radiology, Nuclear Medicine and Imaging 97
  • Health Information Management 77
Replace Hanaa Salem with:
Hanaa Salem Egypt
Mohammad Sh. Daoud United Arab Emirates
Rasha M. Abd El-Aziz Saudi Arabia
Susmita Ray India
Thabiso Maupong Botswana
Md. Jakir Hossen Malaysia
José Manuel Gómez Pulido Spain
Awny Sayed Egypt
Md. Sakib Bin Alam Bangladesh
Ala’ Abdulmajid Eshmawi Saudi Arabia
Omar M. Elzeki relative to Hanaa Salem Egypt Hanaa Salem's profile →
Citations per field
00.5×4.5×
Hanaa Salem · 1×
Citations per year

Countries citing papers authored by Omar M. Elzeki

Since Specialization
Citations

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

Fields of papers citing papers by Omar M. Elzeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Omar M. Elzeki. 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 Omar M. Elzeki. The network helps show where Omar M. Elzeki may publish in the future.

Co-authorship network of co-authors of Omar M. Elzeki

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 18
2 1
3 11
4 10
5 1
6 36
7 100
8 43
9 33
10 13
11 31
12 22
13 38
14 33
15 103
16 3
17 107

About Omar M. Elzeki

Omar M. Elzeki is a scholar working on Health Information Management, Artificial Intelligence and Energy Engineering and Power Technology, having authored 17 papers that have together received 603 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (4 papers), Machine Learning in Healthcare (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Information Management (77 citations), Health Informatics (10 citations) and Information Systems (136 citations). Omar M. Elzeki has collaborated with scholars based in Egypt, Saudi Arabia and Germany. Frequent co-authors include Hanaa Salem, Mohamed Abu ElSoud, Ali Alshehri, Ibrahim M. El‐Hasnony, Emad M.S. El‐Said, A.E. Kabeel, Mahmoud Y. Shams, Mohamed Abd Elfattah, Aboul Ella Hassanien and Shahenda Sarhan. Their work appears in journals such as International Journal of Hydrogen Energy, Sensors and Desalination.

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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