Florence Sèdes

1.2k total citations
61 papers, 340 citations indexed

About

Florence Sèdes is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Florence Sèdes has authored 61 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Information Systems, 24 papers in Artificial Intelligence and 16 papers in Computer Networks and Communications. Recurrent topics in Florence Sèdes's work include Semantic Web and Ontologies (16 papers), Recommender Systems and Techniques (12 papers) and Data Management and Algorithms (8 papers). Florence Sèdes is often cited by papers focused on Semantic Web and Ontologies (16 papers), Recommender Systems and Techniques (12 papers) and Data Management and Algorithms (8 papers). Florence Sèdes collaborates with scholars based in France, Tunisia and Romania. Florence Sèdes's co-authors include Ikram Amous, Corinne Amel Zayani, Henri Prade, Aziz Qaroush, Sorina Dumitrescu, Didier Dubois, Didier Dubois, Dieudonné Tchuente, Eyke Hüllermeier and Rami R. Razouk and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and Future Generation Computer Systems.

In The Last Decade

Florence Sèdes

51 papers receiving 320 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Florence Sèdes France 11 179 143 140 61 40 61 340
Gabriele Tolomei Italy 13 248 1.4× 197 1.4× 91 0.7× 85 1.4× 83 2.1× 36 461
Sigalit Ur Israel 10 335 1.9× 150 1.0× 115 0.8× 70 1.1× 61 1.5× 10 489
Changxuan Wan China 10 105 0.6× 178 1.2× 73 0.5× 57 0.9× 27 0.7× 59 334
Huaizhen Kou China 8 152 0.8× 193 1.3× 118 0.8× 23 0.4× 66 1.6× 20 393
Ernesto Diaz-Aviles Germany 12 174 1.0× 164 1.1× 49 0.3× 36 0.6× 58 1.4× 25 367
Shila Ofek-Koifman Israel 7 334 1.9× 158 1.1× 108 0.8× 64 1.0× 59 1.5× 7 481
Esko Nuutila Finland 8 73 0.4× 132 0.9× 116 0.8× 59 1.0× 35 0.9× 20 330
Hans Chalupsky United States 9 162 0.9× 306 2.1× 179 1.3× 37 0.6× 21 0.5× 24 444
A. Nanopoulos Greece 8 308 1.7× 128 0.9× 170 1.2× 147 2.4× 107 2.7× 13 516
Jalel Akaichi Tunisia 10 104 0.6× 175 1.2× 69 0.5× 75 1.2× 38 0.9× 88 349

Countries citing papers authored by Florence Sèdes

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Florence Sèdes

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Sèdes. A scholar is included among the top collaborators of Florence Sèdes 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 Florence Sèdes. Florence Sèdes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Amous, Ikram, et al.. (2025). Blockchain-powered trust management methodology in SIoT: A survey. Peer-to-Peer Networking and Applications. 18(4).
2.
Barbon, Sylvio, Paolo Ceravolo, Sven Groppe, et al.. (2024). Are Large Language Models the New Interface for Data Pipelines?. University of Twente Research Information. 1–6. 4 indexed citations
3.
Amous, Ikram, et al.. (2024). Real-time prevention of trust-related attacks in social IoT using blockchain and Apache spark. Computer Communications. 225. 65–82. 1 indexed citations
4.
Amous, Ikram, et al.. (2024). Trust attack prevention based on Spark-blockchain in social IoT: a survey. International Journal of Information Security. 23(5). 3179–3198. 2 indexed citations
5.
Mosbah, Mohamed, Florence Sèdes, Nadia Tawbi, et al.. (2024). Foundations and Practice of Security. Lecture notes in computer science.
6.
Mosbah, Mohamed, Florence Sèdes, Nadia Tawbi, et al.. (2024). Foundations and Practice of Security. Lecture notes in computer science.
7.
Sèdes, Florence, et al.. (2024). Social Engineering and Security: From Human Vulnerabilities to Malicious Threats. SPIRE - Sciences Po Institutional REpository. 301–305.
8.
Amous, Ikram, et al.. (2023). Monitoring and analyzing as a service (MAaaS) through cloud edge based on intelligent transportation applications. Cluster Computing. 27(3). 3379–3395. 4 indexed citations
9.
Sèdes, Florence, et al.. (2021). Guidelines for Security Education, Training and Awareness: a literature review. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
10.
Chambon, Sylvie, et al.. (2019). Improving Vehicle Re-Identification using CNN Latent Spaces: Metrics\n Comparison and Track-to-track Extension. arXiv (Cornell University). 4 indexed citations
11.
Quirin, Arnaud, et al.. (2018). Analyzing Polemics Evolution from Twitter Streams Using Author-based Social Networks. Computación y Sistemas. 22(1). 1 indexed citations
12.
Zayani, Corinne Amel, et al.. (2017). Semi-supervised algorithm with knowledge-based features for learner's profiles interoperability. International Journal of Technology Enhanced Learning. 10(1/2). 137–137. 1 indexed citations
13.
Sharp, Bernadette, et al.. (2015). Natural language processing and cognitive science : proceedings 2015. Homo Politicus (Academy of Humanities and Economics in Lodz). 3 indexed citations
14.
Delot, Thierry, et al.. (2012). Computer Science and Ambient Intelligence (ISTE). 1 indexed citations
15.
Sèdes, Florence, et al.. (2010). Modélisation basée sur ontologies pour développer des recommandations personnalisées dans les systèmes hypermédia adaptatives.. 61–76. 1 indexed citations
16.
Laborie, Sébastien, et al.. (2009). Managing and Querying Distributed Multimedia Metadata. IEEE Multimedia. 16(4). 12–21. 4 indexed citations
17.
Sèdes, Florence, et al.. (2008). Ensuring Semantic Annotation and Retrieval within Pervasive E-Learning Systems. SPIRE - Sciences Po Institutional REpository. 4278. 959–964. 2 indexed citations
18.
Dubois, Didier, et al.. (2002). A fuzzy approach to flexible case-based querying: methodology and experimentation. Principles of Knowledge Representation and Reasoning. 449–458. 5 indexed citations
19.
Queille, J. P., et al.. (1994). A traceability-based model for an integrated maintenance environment. 358–368. 1 indexed citations
20.
Razouk, Rami R., et al.. (1991). Classification and Information retrieval in hypertext systems.. 103–120. 3 indexed citations

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.

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