Marvin Lerousseau

73 total papers · 814 total citations
13 papers, 329 citations indexed

About

Marvin Lerousseau is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Marvin Lerousseau has authored 13 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Artificial Intelligence. Recurrent topics in Marvin Lerousseau's work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (3 papers) and Gene expression and cancer classification (2 papers). Marvin Lerousseau is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (3 papers) and Gene expression and cancer classification (2 papers). Marvin Lerousseau collaborates with scholars based in France, Belgium and China. Marvin Lerousseau's co-authors include Éric Deutsch, Roger Sun, Théo Estienne, Nikos Paragios, Charlotte Robert, Alexandre Carré, Enzo Battistella, Maria Vakalopoulou, Émilie Alvarez Andres and Stéphane Niyoteka and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Marvin Lerousseau

13 papers receiving 323 citations

Author Peers

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

Author						Papers	Cites
Marvin Lerousseau	235	77	62	45	41	13	329
Nariman Jahani	192 0.8×	38 0.5×	45 0.7×	111 2.5×	54 1.3×	11	304
Zijian Zhou	118 0.5×	50 0.6×	22 0.4×	93 2.1×	33 0.8×	15	271
Matteo Pepa	152 0.6×	74 1.0×	42 0.7×	107 2.4×	11 0.3×	33	324
Wenzheng Sun	165 0.7×	58 0.8×	30 0.5×	93 2.1×	11 0.3×	27	344
Lama Hassan	186 0.8×	30 0.4×	79 1.3×	50 1.1×	34 0.8×	17	357
Yongju Yi	224 1.0×	50 0.6×	46 0.7×	43 1.0×	11 0.3×	17	310
Benjamin Ziemer	189 0.8×	105 1.4×	31 0.5×	75 1.7×	25 0.6×	20	305
Giovanni Irmici	158 0.7×	69 0.9×	56 0.9×	60 1.3×	12 0.3×	22	299
Bo Liu	204 0.9×	49 0.6×	65 1.0×	31 0.7×	5 0.1×	14	307
Wei-Lin Chen	168 0.7×	40 0.5×	40 0.6×	69 1.5×	7 0.2×	9	340

Countries citing papers authored by Marvin Lerousseau

Since Specialization

Citations

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

Fields of papers citing papers by Marvin Lerousseau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marvin Lerousseau

This figure shows the co-authorship network connecting the top 25 collaborators of Marvin Lerousseau. A scholar is included among the top collaborators of Marvin Lerousseau 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 Marvin Lerousseau. Marvin Lerousseau 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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