Mariam Daoud
Impact in
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Recommender Systems and Techniques
- Web Data Mining and Analysis
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Topic Modeling
Papers in
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- Information Retrieval and Search Behavior 9
- Web Data Mining and Analysis 6
- Recommender Systems and Techniques 4
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- Semantic Web and Ontologies 4
- Co-authors
- Mohand Boughanem (8 shared papers)Jimmy Xiangji Huang (7 shared papers)Lynda Tamine (5 shared papers)Maher Ben Jemaa (3 shared papers)Jun Miao (1 shared paper)
In The Last Decade
Mariam Daoud
18 papers receiving 254 citations
Peers
Comparison fields: 5 of 42
- Information Systems 175
- Artificial Intelligence 143
- Signal Processing 47
- Computer Vision and Pattern Recognition 78
- Computer Science Applications 16
Countries citing papers authored by Mariam Daoud
This map shows the geographic impact of Mariam Daoud'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 Mariam Daoud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariam Daoud more than expected).
Fields of papers citing papers by Mariam Daoud
This network shows the impact of papers produced by Mariam Daoud. 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 Mariam Daoud. The network helps show where Mariam Daoud may publish in the future.
Co-authors
The 5 scholars most cited alongside Mariam Daoud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 80 | |
| 2 | 2009 | 42 | |
| 3 | 2009 | 26 | |
| 4 | 2008 | 24 | |
| 5 | 2013 | 16 | |
| 6 | 2012 | 16 | |
| 7 | 2018 | 11 | |
| 8 | 2011 | 10 | |
| 9 | Using A Concept-based User Context For Search Personalization | 2008 | 9 |
| 10 | York University at TREC 2011: Medical Records Track | 2011 | 8 |
| 11 | 2018 | 8 | |
| 12 | Contextual query classification in web search. | 2008 | 6 |
| 13 | 2013 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2013 | 4 | |
| 16 | 2008 | 2 | |
| 17 | 2010 | 2 | |
| 18 | Contextual evaluation of mobile search | 2010 | 1 |
About Mariam Daoud
Mariam Daoud is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology and Signal Processing, having authored 18 papers that have together received 275 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (9 papers), Web Data Mining and Analysis (6 papers), Semantic Web and Ontologies (4 papers), Biomedical Text Mining and Ontologies (4 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Recommender Systems and Techniques (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Information Systems (175 citations), Artificial Intelligence (143 citations), Signal Processing (47 citations), Computer Vision and Pattern Recognition (78 citations) and Computer Science Applications (16 citations). Mariam Daoud has collaborated with scholars based in France, Canada and Tunisia. Frequent co-authors include Mohand Boughanem, Jimmy Xiangji Huang, Lynda Tamine, Maher Ben Jemaa and Jun Miao. Their work appears in journals such as Journal of the Association for Information Science and Technology, Knowledge and Information Systems, ACM Computing Surveys, Journal of Information Science and Text REtrieval Conference.
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.