Malika Mahoui
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Oncology
- Pulmonary and Respiratory Medicine
- Co-authors
- Ian H. WittenSteve JonesZina Ben MiledLisa M. HessZhanglin Lin CuiAna B. OtonStuart MortonYuqing Wu
- Topics
- Biomedical Text Mining and Ontologies (6 papers)Scientific Computing and Data Management (5 papers)Advanced Database Systems and Queries (4 papers)
- Partner nations
- United StatesNew ZealandUnited Kingdom
In The Last Decade
Malika Mahoui
27 papers receiving 172 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 99
- Information Systems 52
- Computer Networks and Communications 34
- Oncology 33
- Pulmonary and Respiratory Medicine 23
Countries citing papers authored by Malika Mahoui
This map shows the geographic impact of Malika Mahoui'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 Malika Mahoui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malika Mahoui more than expected).
Fields of papers citing papers by Malika Mahoui
This network shows the impact of papers produced by Malika Mahoui. 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 Malika Mahoui. The network helps show where Malika Mahoui may publish in the future.
Co-authorship network of co-authors of Malika Mahoui
This figure shows the co-authorship network connecting the top 25 collaborators of Malika Mahoui. A scholar is included among the top collaborators of Malika Mahoui 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 Malika Mahoui. Malika Mahoui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 5 | |
| 10 | Visualization of usability and functionality of a professional website through web-mining. | 1 |
| 11 | BioFacets: Integrating Biological Databases using Facetted Classification. | 3 |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 11 | |
| 16 | On the optimality of holistic algorithms for twig queries | 1 |
| 17 | Separating Between Trust and Access Control Policies: A necessity for Web Applications ∗ | 2 |
| 18 | Data Mining For Web Security: UserWatcher * | 3 |
| 19 | Hierarchical document clustering using automatically extracted keyphrases | 19 |
| 20 | 49 |
About Malika Mahoui
Malika Mahoui is a scholar working on Information Systems and Management, Artificial Intelligence and Family Practice, having authored 28 papers that have together received 198 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (6 papers), Scientific Computing and Data Management (5 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Information Systems and Management (23 citations), Artificial Intelligence (99 citations) and Family Practice (6 citations). Malika Mahoui has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Ian H. Witten, Steve Jones, Zina Ben Miled, Lisa M. Hess, Zhanglin Lin Cui, Ana B. Oton, Stuart Morton, Yuqing Wu, Josette Jones and Bharat Bhargava. Their work appears in journals such as Lecture notes in computer science, Future Oncology and Cluster Computing.
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.