Ahmed Kamel

36 papers receiving 519 citations

Hit Papers

Creating and detecting fake reviews of online products 2021 · 170 citations
1700+1+3Years since publication50100150

Peers

Ahmed Kamel
Comparison fields: 5 of 120
  • Health Informatics 48
  • Applied Microbiology and Biotechnology 15
  • Human-Computer Interaction 32
  • Information Systems 118
  • Artificial Intelligence 145
Replace Peyman Rezaei‐Hachesu with:
Peyman Rezaei‐Hachesu Iran
Ali Garavand Iran
John Mattison United States
Johan Gustav Bellika Norway
Abid Iqbal Pakistan
Hadi Lotfnezhad Afshar Iran
David Kreda United States
Sylvia Thun Germany
Matt-Mouley Bouamrane United Kingdom
Deven McGraw United States
Ahmed Kamel relative to Peyman Rezaei‐Hachesu Iran Peyman Rezaei‐Hachesu's profile →
Citations per field
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Peyman Rezaei‐Hachesu · 1×
Citations per year

Countries citing papers authored by Ahmed Kamel

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed Kamel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Creating and detecting fake reviews of online products
Hit paper breakdown →
2021170
2 202057
3 202141
4 201939
5 202039
6 202021
7 201921
8 202019
9 202215
10 202113
11 199111
12 202210
13 199210
14 20229
15 20208
16 20228
17 19966
18 20235
19 20225
20 19955

About Ahmed Kamel

Ahmed Kamel is a scholar working on Epidemiology, Infectious Diseases, Artificial Intelligence, Cardiology and Cardiovascular Medicine and Hepatology, having authored 42 papers that have together received 550 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Persona Design and Applications (3 papers), Innovative Human-Technology Interaction (3 papers), Service and Product Innovation (3 papers), AI-based Problem Solving and Planning (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Health Informatics (48 citations), Applied Microbiology and Biotechnology (15 citations), Human-Computer Interaction (32 citations), Information Systems (118 citations) and Artificial Intelligence (145 citations). Ahmed Kamel has collaborated with scholars based in Egypt, Qatar and Saudi Arabia. Frequent co-authors include Joni Salminen, Bernard J. Jansen, Soon‐gyo Jung, Samar Farid, Nirmeen A. Sabry, Jon Sticklen, Soon-Gyo Jung, Mohamed A. Farag, Hind Almerekhi and João M. Santos. Their work appears in journals such as Reviews in Medical Virology, Behaviour and Information Technology, Metabolic Syndrome and Related Disorders, Academic Radiology and International Journal of Human-Computer Interaction.

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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