Fabian Lecron

48 total papers · 605 total citations
30 papers, 419 citations indexed

About

Fabian Lecron is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Fabian Lecron has authored 30 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Biomedical Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Fabian Lecron's work include Medical Imaging and Analysis (10 papers), Medical Image Segmentation Techniques (8 papers) and Dental Radiography and Imaging (5 papers). Fabian Lecron is often cited by papers focused on Medical Imaging and Analysis (10 papers), Medical Image Segmentation Techniques (8 papers) and Dental Radiography and Imaging (5 papers). Fabian Lecron collaborates with scholars based in Belgium, United States and Canada. Fabian Lecron's co-authors include Philippe Fortemps, Saïd Mahmoudi, Mohammed Benjelloun, Sidi Ahmed Mahmoudi, Pierre Manneback, Mandy Rossignol, Hubert Labelle, François Fouss, Jonathan Boisvert and Mohammed El Adoui and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Signal Processing.

In The Last Decade

Fabian Lecron

29 papers receiving 404 citations

Author Peers

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

Author						Papers	Cites
Fabian Lecron	112	110	105	63	61	30	419
Tom Croonenborghs	125 1.1×	138 1.3×	108 1.0×	14 0.2×	56 0.9×	41	478
Muhammad Awais	63 0.6×	102 0.9×	111 1.1×	59 0.9×	45 0.7×	33	421
Joaquim Cezar Felipe	36 0.3×	196 1.8×	149 1.4×	21 0.3×	28 0.5×	44	481
Mwaffaq Otoom	57 0.5×	40 0.4×	79 0.8×	78 1.2×	25 0.4×	26	387
Asma Salhi	48 0.4×	34 0.3×	173 1.6×	30 0.5×	20 0.3×	14	423
V. Seethalakshmi	66 0.6×	117 1.1×	162 1.5×	22 0.3×	14 0.2×	22	461
Tunç Aşuroğlu	96 0.9×	76 0.7×	107 1.0×	11 0.2×	14 0.2×	47	452
Mohammad A. Alzubaidi	54 0.5×	47 0.4×	109 1.0×	82 1.3×	21 0.3×	28	477
Koray Açıcı	113 1.0×	104 0.9×	81 0.8×	9 0.1×	12 0.2×	36	418
Umberto Maniscalco	65 0.6×	50 0.5×	93 0.9×	10 0.2×	18 0.3×	32	447

Countries citing papers authored by Fabian Lecron

Since Specialization

Citations

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

Fields of papers citing papers by Fabian Lecron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Lecron

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