Monia Hamdi

1.3k citations
72 papers · 837 · h-index 18

Impact in

Papers in

Monia Hamdi

65 papers receiving 815 citations

Peers

Monia Hamdi
Comparison fields: 5 of 106
  • Computer Networks and Communications 316
  • Information Systems 143
  • Health Informatics 7
  • Artificial Intelligence 164
  • Computer Vision and Pattern Recognition 104
Replace Ghaida Muttashar Abdulsahib with:
Ghaida Muttashar Abdulsahib Iraq
Hani Alquhayz Saudi Arabia
Ahmad Ali AlZubi Saudi Arabia
Sandeep Sharma India
Humaira Ashraf Pakistan
Reem Alkanhel Saudi Arabia
Myriam Hadjouni Saudi Arabia
Kamal Gulati India
Khaled H. Almotairi Saudi Arabia
Saraswathy Shamini Gunasekaran Malaysia
Monia Hamdi relative to Ghaida Muttashar Abdulsahib Iraq Ghaida Muttashar Abdulsahib's profile →
Citations per field
00.5×4.3×
Ghaida Muttashar Abdulsahib · 1×
Citations per year

Countries citing papers authored by Monia Hamdi

Since Specialization
Citations

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

Fields of papers citing papers by Monia Hamdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202249
2 202049
3 202342
4 201939
5 202236
6 202335
7 202233
8 202132
9 202130
10 202227
11 202325
12 202225
13 201724
14 202223
15 202221
16 202318
17 202118
18 202317
19 202315
20 201815

About Monia Hamdi

Monia Hamdi is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Information Systems, having authored 72 papers that have together received 837 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (12 papers), Advanced MIMO Systems Optimization (7 papers), Cooperative Communication and Network Coding (6 papers), Blockchain Technology Applications and Security (5 papers), Energy Efficient Wireless Sensor Networks (5 papers), AI in cancer detection (5 papers), COVID-19 epidemiological studies (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Computer Networks and Communications (316 citations), Information Systems (143 citations), Health Informatics (7 citations), Artificial Intelligence (164 citations) and Computer Vision and Pattern Recognition (104 citations). Monia Hamdi has collaborated with scholars based in Saudi Arabia, Tunisia and Pakistan. Frequent co-authors include Mourad Zaied, Hela Elmannai, Tarek Frikha, Jalel Ktari, Habib Hamam, Abeer D. Algarni, Ridha Ejbali, Amel Ksibi, Nader Ben Amor and Shtwai Alsubai. Their work appears in journals such as Electronics, Sensors, IEEE Access, EURASIP Journal on Wireless Communications and Networking and Applied Sciences.

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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