Michel Pelletier

40 total papers · 467 total citations
28 papers, 286 citations indexed

About

Michel Pelletier is a scholar working on Aerospace Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Michel Pelletier has authored 28 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Aerospace Engineering, 8 papers in Materials Chemistry and 7 papers in Biomedical Engineering. Recurrent topics in Michel Pelletier's work include Nuclear Materials and Properties (8 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Nuclear reactor physics and engineering (6 papers). Michel Pelletier is often cited by papers focused on Nuclear Materials and Properties (8 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Nuclear reactor physics and engineering (6 papers). Michel Pelletier collaborates with scholars based in Canada, France and United Kingdom. Michel Pelletier's co-authors include Thiagalingam Kirubarajan, Gongjian Zhou, Taifan Quan, Bruno Michel, Isabelle Ramière, Ratnasingham Tharmarasa, Nicola Hagemeister, Xin Chen, Jacques A. de Guise and Rachid Aïssaoui and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Biochemistry and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Michel Pelletier

27 papers receiving 279 citations

Author Peers

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

Author						Papers	Cites
Michel Pelletier	154	90	70	45	28	28	286
Kaichen Song	96 0.6×	43 0.5×	49 0.7×	17 0.4×	22 0.8×	50	264
Ali Nouri	95 0.6×	72 0.8×	76 1.1×	32 0.7×	26 0.9×	27	287
Yu Yuan	20 0.1×	90 1.0×	20 0.3×	35 0.8×	34 1.2×	37	311
Huang Huang	74 0.5×	62 0.7×	9 0.1×	123 2.7×	28 1.0×	26	298
Wenxiu Hu	44 0.3×	15 0.2×	28 0.4×	47 1.0×	16 0.6×	46	295
Shizhou Zhang	46 0.3×	49 0.5×	83 1.2×	39 0.9×	11 0.4×	23	326
Yifan Wang	35 0.2×	52 0.6×	21 0.3×	60 1.3×	6 0.2×	42	287
Aakash Kumar	29 0.2×	101 1.1×	67 1.0×	39 0.9×	24 0.9×	17	313
Xiaohua Zhang	23 0.1×	22 0.2×	65 0.9×	41 0.9×	13 0.5×	42	306
Sijie Liu	64 0.4×	14 0.2×	23 0.3×	66 1.5×	9 0.3×	30	312

Countries citing papers authored by Michel Pelletier

Since Specialization

Citations

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

Fields of papers citing papers by Michel Pelletier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Pelletier

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