Medien Zeghid
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Hassan Yousif AhmedAnissa SghaierMohsen MachhoutWaqas A. ImtiazAbdellah ChehriSomia A. Abd El-MottalebChiou‐Yng LeeJiafeng Xie
- Topics
- Coding theory and cryptography (28 papers)graph theory and CDMA systems (24 papers)Optical Network Technologies (18 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionElectrical and Electronic Engineering
- Journals
- IEEE AccessSensorsSustainability
- Partner nations
- TunisiaSaudi ArabiaPakistan
In The Last Decade
Medien Zeghid
71 papers receiving 631 citations
Peers
Comparison fields: 5 of 73
- Electrical and Electronic Engineering 336
- Artificial Intelligence 304
- Computer Vision and Pattern Recognition 160
- Information Systems 124
- Computer Networks and Communications 81
Countries citing papers authored by Medien Zeghid
This map shows the geographic impact of Medien Zeghid'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 Medien Zeghid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Medien Zeghid more than expected).
Fields of papers citing papers by Medien Zeghid
This network shows the impact of papers produced by Medien Zeghid. 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 Medien Zeghid. The network helps show where Medien Zeghid may publish in the future.
Co-authorship network of co-authors of Medien Zeghid
This figure shows the co-authorship network connecting the top 25 collaborators of Medien Zeghid. A scholar is included among the top collaborators of Medien Zeghid 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 Medien Zeghid. Medien Zeghid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 0 | |
| 15 | 21 | |
| 16 | 11 | |
| 17 | 11 | |
| 18 | 5 | |
| 19 | 17 | |
| 20 | 1 |
About Medien Zeghid
Medien Zeghid is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 75 papers that have together received 667 indexed citations. Recurring topics across this work include Coding theory and cryptography (28 papers), graph theory and CDMA systems (24 papers) and Optical Network Technologies (18 papers). The work is most often cited by research in Artificial Intelligence (304 citations), Computer Vision and Pattern Recognition (160 citations) and Electrical and Electronic Engineering (336 citations). Medien Zeghid has collaborated with scholars based in Tunisia, Saudi Arabia and Pakistan. Frequent co-authors include Hassan Yousif Ahmed, Anissa Sghaier, Mohsen Machhout, Waqas A. Imtiaz, Abdellah Chehri, Somia A. Abd El-Mottaleb, Chiou‐Yng Lee, Jiafeng Xie, Jeng‐Shyang Pan and Mehtab Singh. Their work appears in journals such as IEEE Access, Sensors and Sustainability.
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.