Mohamed Bader–El–Den
- Artificial Intelligence top 5%
- Epidemiology
- Information Systems top 10%
- Health Information Management top 2%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- James McNicholasAya AwadJim BriggsMihaela CoceaRiccardo PoliShaheen FatimaDalila BoughaciMohamed Hassan
- Topics
- Recommender Systems and Techniques (8 papers)Topic Modeling (5 papers)Imbalanced Data Classification Techniques (5 papers)
- Partner nations
- United KingdomAlgeriaTürkiye
In The Last Decade
Mohamed Bader–El–Den
48 papers receiving 647 citations
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 336
- Epidemiology 112
- Information Systems 81
- Health Information Management 73
- Industrial and Manufacturing Engineering 66
Countries citing papers authored by Mohamed Bader–El–Den
This map shows the geographic impact of Mohamed Bader–El–Den'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 Mohamed Bader–El–Den with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Bader–El–Den more than expected).
Fields of papers citing papers by Mohamed Bader–El–Den
This network shows the impact of papers produced by Mohamed Bader–El–Den. 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 Mohamed Bader–El–Den. The network helps show where Mohamed Bader–El–Den may publish in the future.
Co-authorship network of co-authors of Mohamed Bader–El–Den
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Bader–El–Den. A scholar is included among the top collaborators of Mohamed Bader–El–Den 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 Mohamed Bader–El–Den. Mohamed Bader–El–Den is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 18 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | A data mining framework for analyzing students’ feedback of assessment | 5 |
| 14 | 7 | |
| 15 | 48 | |
| 16 | 125 | |
| 17 | 1 | |
| 18 | 19 | |
| 19 | 2 | |
| 20 | 10 |
About Mohamed Bader–El–Den
Mohamed Bader–El–Den is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Information Systems, having authored 54 papers that have together received 673 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (8 papers), Topic Modeling (5 papers) and Imbalanced Data Classification Techniques (5 papers). The work is most often cited by research in Health Informatics (43 citations), Health Information Management (73 citations) and Artificial Intelligence (336 citations). Mohamed Bader–El–Den has collaborated with scholars based in United Kingdom, Algeria and Türkiye. Frequent co-authors include James McNicholas, Aya Awad, Jim Briggs, Mihaela Cocea, Riccardo Poli, Shaheen Fatima, Dalila Boughaci, Mohamed Hassan, James M. Buick and Yasser El-Sonbaty. Their work appears in journals such as Journal of Business Research, Expert Systems with Applications and BMC Public Health.
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.