Florent Masséglia

About

Florent Masséglia is a scholar working on Signal Processing, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Florent Masséglia has authored 35 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Signal Processing, 17 papers in Information Systems and 11 papers in Computer Networks and Communications. Recurrent topics in Florent Masséglia’s work include Data Mining Algorithms and Applications (16 papers), Time Series Analysis and Forecasting (14 papers) and Data Management and Algorithms (13 papers). Florent Masséglia is often cited by papers focused on Data Mining Algorithms and Applications (16 papers), Time Series Analysis and Forecasting (14 papers) and Data Management and Algorithms (13 papers). Florent Masséglia collaborates with scholars based in France, United States and Italy. Florent Masséglia's co-authors include Maguelonne Teisseire, Pascal Poncelet, Reza Akbarinia, Themis Palpanas, Xiangliang Zhang, René Quiniou, Thomas Guyet, Wei Wang, Marie-Odile Cordier and Dennis Shasha and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Florent Masséglia i

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Fields of papers citing papers by Florent Masséglia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florent Masséglia. 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 Florent Masséglia. The network helps show where Florent Masséglia may publish in the future.

Countries citing papers authored by Florent Masséglia

Since Specialization

Citations

This map shows the geographic impact of Florent Masséglia'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 Florent Masséglia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florent Masséglia more than expected).

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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