Fabien De Marchi

48 total papers · 431 total citations
7 papers, 112 citations indexed

About

Fabien De Marchi is a scholar working on Information Systems, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Fabien De Marchi has authored 7 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 4 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Fabien De Marchi's work include Data Mining Algorithms and Applications (4 papers), Data Management and Algorithms (4 papers) and Rough Sets and Fuzzy Logic (3 papers). Fabien De Marchi is often cited by papers focused on Data Mining Algorithms and Applications (4 papers), Data Management and Algorithms (4 papers) and Rough Sets and Fuzzy Logic (3 papers). Fabien De Marchi collaborates with scholars based in France and New Caledonia. Fabien De Marchi's co-authors include Jean-Marc Petit, Stéphane Lopes and Alexandre Delteil and has published in prestigious journals such as ACM SIGMOD Record, Information Systems and Journal of Intelligent Information Systems.

In The Last Decade

Fabien De Marchi

7 papers receiving 105 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fabien De Marchi 74 67 59 53 37 7 112
Hazar Harmouch 79 1.1× 67 1.0× 50 0.8× 71 1.3× 40 1.1× 9 158
Marianne Baudinet 136 1.8× 29 0.4× 25 0.4× 147 2.8× 81 2.2× 12 218
Mohsen Taheriyan 27 0.4× 42 0.6× 46 0.8× 91 1.7× 18 0.5× 7 113
Bruno Marnette 190 2.6× 82 1.2× 63 1.1× 224 4.2× 59 1.6× 9 261
Nicholas Kidd 18 0.2× 12 0.2× 46 0.8× 49 0.9× 32 0.9× 13 103
Patrick Westphal 43 0.6× 87 1.3× 70 1.2× 202 3.8× 14 0.4× 11 227
Thomas Ströhlein 41 0.6× 22 0.3× 19 0.3× 101 1.9× 19 0.5× 7 161
Günter Ladwig 29 0.4× 24 0.4× 90 1.5× 148 2.8× 34 0.9× 9 171
Ming‐Ho Yee 40 0.5× 12 0.2× 43 0.7× 76 1.4× 12 0.3× 9 136
Robert Piro 81 1.1× 12 0.2× 42 0.7× 155 2.9× 23 0.6× 11 176

Countries citing papers authored by Fabien De Marchi

Since Specialization
Citations

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

Fields of papers citing papers by Fabien De Marchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabien De Marchi. 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 Fabien De Marchi. The network helps show where Fabien De Marchi may publish in the future.

Co-authorship network of co-authors of Fabien De Marchi

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

All Works

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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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