D. Laugier

887 total citations
3 papers, 87 citations indexed

About

D. Laugier is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Plant Science. According to data from OpenAlex, D. Laugier has authored 3 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Cognitive Neuroscience and 1 paper in Plant Science. Recurrent topics in D. Laugier's work include Advanced Image and Video Retrieval Techniques (1 paper), Smart Agriculture and AI (1 paper) and Visual perception and processing mechanisms (1 paper). D. Laugier is often cited by papers focused on Advanced Image and Video Retrieval Techniques (1 paper), Smart Agriculture and AI (1 paper) and Visual perception and processing mechanisms (1 paper). D. Laugier collaborates with scholars based in France. D. Laugier's co-authors include Anna Montagnini, Éric Castet, Guillaume S. Masson and C. Fernández‐Maloigne and has published in prestigious journals such as Journal of Vision.

In The Last Decade

D. Laugier

3 papers receiving 87 citations

Author Peers

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

Author						Papers	Cites
D. Laugier	81	16	11	9	6	3	87
Laurence Ris	45 0.6×	26 1.6×	7 0.6×	14 1.6×	4 0.7×	13	74
Benjamin Peters	161 2.0×	25 1.6×	14 1.3×	3 0.3×	3 0.5×	26	190
Yohei Oseki	74 0.9×	28 1.8×	10 0.9×	8 0.9×	3 0.5×	30	191
Nika Adamian	176 2.2×	23 1.4×	9 0.8×	3 0.3×	1 0.2×	13	183
Julien Kronegg	70 0.9×	18 1.1×	3 0.3×	18 2.0×	2 0.3×	4	90
S. Mulleriababu	145 1.8×	41 2.6×	19 1.7×	3 0.3×		2	167
Stefan Czoschke	167 2.1×	34 2.1×	10 0.9×	5 0.6×	1 0.2×	11	182
Marek-Marsel Mesulam	36 0.4×	6 0.4×	3 0.3×	4 0.4×	2 0.3×	3	51
Janis K. Hesse	124 1.5×	11 0.7×	27 2.5×		5 0.8×	5	138
Laurel R. Keyes	20 0.2×	11 0.7×	9 0.8×	2 0.2×	3 0.5×	4	59

Countries citing papers authored by D. Laugier

Since Specialization

Citations

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

Fields of papers citing papers by D. Laugier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Laugier

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

All Works

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3 of 3 papers shown

1.

Castet, Éric, et al.. (2006). Dynamics of attentional deployment during saccadic programming. Journal of Vision. 6(3). 2–2. 85 indexed citations

2.

Fernández‐Maloigne, C., et al.. (2005). Detection of apples with texture analyse for an apple picker robot. 5. 323–328. 1 indexed citations

3.

Fernández‐Maloigne, C., et al.. (2003). Texture analysis for road detection. 219–224. 1 indexed citations

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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