Florence Sèdes
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Spam and Phishing Detection
- Blockchain Technology Applications and Security
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
Papers in
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- Recommender Systems and Techniques 12
- Blockchain Technology Applications and Security 5
- Web Data Mining and Analysis 5
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- Semantic Web and Ontologies 16
- Co-authors
- Ikram Amous (15 shared papers)Corinne Amel Zayani (11 shared papers)Henri Prade (5 shared papers)Aziz Qaroush (2 shared papers)André Péninou (10 shared papers)Sorina Dumitrescu (1 shared paper)Didier Dubois (3 shared papers)Didier Dubois (1 shared paper)
In The Last Decade
Florence Sèdes
52 papers receiving 327 citations
Peers
Comparison fields: 5 of 62
- Information Systems 180
- Computer Networks and Communications 141
- Computer Science Applications 31
- Signal Processing 61
- Artificial Intelligence 143
Countries citing papers authored by Florence Sèdes
This map shows the geographic impact of Florence Sèdes'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 Florence Sèdes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Sèdes more than expected).
Fields of papers citing papers by Florence Sèdes
This network shows the impact of papers produced by Florence Sèdes. 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 Florence Sèdes. The network helps show where Florence Sèdes may publish in the future.
Co-authors
The 25 scholars most cited alongside Florence Sèdes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 47 | |
| 2 | 2022 | 26 | |
| 3 | 2003 | 21 | |
| 4 | 2010 | 20 | |
| 5 | 2019 | 19 | |
| 6 | 2001 | 19 | |
| 7 | 1993 | 18 | |
| 8 | 2013 | 17 | |
| 9 | 2017 | 14 | |
| 10 | 2015 | 14 | |
| 11 | 2010 | 14 | |
| 12 | 2021 | 9 | |
| 13 | 2016 | 8 | |
| 14 | 2007 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2009 | 6 | |
| 17 | A fuzzy approach to flexible case-based querying: methodology and experimentation | 2002 | 5 |
| 18 | 2018 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2024 | 4 |
About Florence Sèdes
Florence Sèdes is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 61 papers that have together received 345 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (16 papers), Recommender Systems and Techniques (12 papers), Data Management and Algorithms (8 papers), Complex Network Analysis Techniques (8 papers), IoT and Edge/Fog Computing (7 papers), Blockchain Technology Applications and Security (5 papers), Web Data Mining and Analysis (5 papers) and Video Analysis and Summarization (5 papers). The work is most often cited by research in Information Systems (180 citations), Computer Networks and Communications (141 citations), Computer Science Applications (31 citations), Signal Processing (61 citations) and Artificial Intelligence (143 citations). Florence Sèdes has collaborated with scholars based in France, Tunisia and Romania. Frequent co-authors include Ikram Amous, Corinne Amel Zayani, Henri Prade, Aziz Qaroush, André Péninou, Sorina Dumitrescu, Didier Dubois, Didier Dubois, Dieudonné Tchuente and Eyke Hüllermeier. Their work appears in journals such as IEEE Multimedia, Social Network Analysis and Mining, Online Information Review, Data & Knowledge Engineering and International Journal of Uncertainty Fuzziness and Knowledge-Based Systems.
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.