Julien Mille

68 total papers · 890 total citations
16 papers, 248 citations indexed

About

Julien Mille is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Julien Mille has authored 16 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Julien Mille's work include Medical Image Segmentation Techniques (8 papers), Image Retrieval and Classification Techniques (4 papers) and Digital Image Processing Techniques (3 papers). Julien Mille is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Image Retrieval and Classification Techniques (4 papers) and Digital Image Processing Techniques (3 papers). Julien Mille collaborates with scholars based in France, Pakistan and Argentina. Julien Mille's co-authors include Laure Tougne, Antoine Vacavant, Guillaume Cerutti, Didier Coquin, Laurent D. Cohen, Imtiaz Ali, Sébastien Bougleux, Bülent Sankur, Christian Wolf and Mingyuan Jiu and has published in prestigious journals such as International Journal of Computer Vision, Pattern Recognition Letters and Computer Vision and Image Understanding.

In The Last Decade

Julien Mille

13 papers receiving 241 citations

Author Peers

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

Author						Papers	Cites
Julien Mille	148	72	35	31	22	16	248
Pendar Alirezazadeh	140 0.9×	120 1.7×	85 2.4×	26 0.8×	42 1.9×	19	305
Xingqian Xu	190 1.3×	52 0.7×	59 1.7×	37 1.2×	15 0.7×	14	309
Ziyan Wang	95 0.6×	24 0.3×	38 1.1×	10 0.3×	18 0.8×	25	183
Yujie Zhong	112 0.8×	40 0.6×	74 2.1×	34 1.1×	20 0.9×	13	274
Wenqi Wang	116 0.8×	108 1.5×	17 0.5×	18 0.6×	20 0.9×	25	306
Xinda Liu	106 0.7×	117 1.6×	47 1.3×	24 0.8×	47 2.1×	14	292
S. Uma Maheswari	130 0.9×	32 0.4×	38 1.1×	17 0.5×	10 0.5×	33	247
Wei Wu	117 0.8×	84 1.2×	44 1.3×	23 0.7×	48 2.2×	11	287
Jarbas Joaci de Mesquita Sá	186 1.3×	82 1.1×	53 1.5×	18 0.6×	31 1.4×	18	296
Damayanthi Herath	50 0.3×	46 0.6×	62 1.8×	19 0.6×	5 0.2×	17	256

Countries citing papers authored by Julien Mille

Since Specialization

Citations

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

Fields of papers citing papers by Julien Mille

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julien Mille

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