A. Picou

410 total citations · 1 hit paper
10 papers, 253 citations indexed

About

A. Picou is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Reproductive Medicine. According to data from OpenAlex, A. Picou has authored 10 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Public Health, Environmental and Occupational Health, 6 papers in Pediatrics, Perinatology and Child Health and 3 papers in Reproductive Medicine. Recurrent topics in A. Picou's work include Reproductive Biology and Fertility (7 papers), Prenatal Screening and Diagnostics (5 papers) and Assisted Reproductive Technology and Twin Pregnancy (3 papers). A. Picou is often cited by papers focused on Reproductive Biology and Fertility (7 papers), Prenatal Screening and Diagnostics (5 papers) and Assisted Reproductive Technology and Twin Pregnancy (3 papers). A. Picou collaborates with scholars based in United States and Australia. A. Picou's co-authors include Matthew VerMilyea, Jonathan M. M. Hall, Adrian Johnston, Sonya M. Diakiw, Michelle Perugini, Don Perugini, Andrew Miller, K. R. Bondioli, R.A. Godke and Angelica M. Giraldo and has published in prestigious journals such as Human Reproduction, Fertility and Sterility and Animal Reproduction Science.

In The Last Decade

A. Picou

8 papers receiving 234 citations

Hit Papers

Development of an artificial intelligence-based assessmen... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
A. Picou United States 4 148 98 77 57 31 10 253
Halima Albalushi Oman 9 108 0.7× 27 0.3× 102 1.3× 88 1.5× 9 0.3× 16 271
Cecilia Langenskiöld Sweden 6 94 0.6× 37 0.4× 93 1.2× 56 1.0× 15 0.5× 13 189
Carmen M. García-Pascual Spain 12 204 1.4× 359 3.7× 114 1.5× 187 3.3× 7 0.2× 18 521
Huiqun Yin China 8 244 1.6× 77 0.8× 199 2.6× 107 1.9× 10 0.3× 13 298
Y Shiina Japan 7 199 1.3× 99 1.0× 110 1.4× 69 1.2× 18 0.6× 10 346
Thomas O’Leary United States 12 323 2.2× 208 2.1× 173 2.2× 310 5.4× 7 0.2× 27 562
A. Antsaklis Greece 10 162 1.1× 103 1.1× 171 2.2× 58 1.0× 3 0.1× 14 314
Süleyman Aktuna Türkiye 7 73 0.5× 71 0.7× 38 0.5× 146 2.6× 100 3.2× 20 286
Florence Amblard France 10 60 0.4× 75 0.8× 78 1.0× 122 2.1× 15 0.5× 21 276

Countries citing papers authored by A. Picou

Since Specialization
Citations

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

Fields of papers citing papers by A. Picou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Picou

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

All Works

10 of 10 papers shown
1.
VerMilyea, Matthew, Jonathan M. M. Hall, Sonya M. Diakiw, et al.. (2020). Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF. Human Reproduction. 35(4). 770–784. 186 indexed citations breakdown →
2.
Silverberg, Kaylen M., et al.. (2019). Endometrial receptivity analysis does not increase live birth rates in first frozen embryo transfer with a euploid blastocyst. Fertility and Sterility. 112(3). e72–e73. 1 indexed citations
3.
VerMilyea, Matthew, Jonathan M. M. Hall, Don Perugini, et al.. (2019). Artificial intelligence: non-invasive detection of morphological features associated with abnormalities in chromosomes 21 and 16. Fertility and Sterility. 112(3). e237–e238. 2 indexed citations
4.
Picou, A., et al.. (2019). Blastocyst formation and pregnancy rate comparison between standard large box (Sanyo) incubators and a novel Geri® time-lapse incubator. Reproductive BioMedicine Online. 39. e7–e7. 2 indexed citations
6.
VerMilyea, Matthew, et al.. (2018). Stress relief: can continuous culture in a low lactate culture media reduce numerical chromosomal abnormalities and therefore improve euploidy rates?. Fertility and Sterility. 110(4). e361–e362. 6 indexed citations
7.
Picou, A., et al.. (2016). Day 5, 6, and 7 blastocyst ploidy status stratified by patient age. Fertility and Sterility. 106(3). e163–e164. 1 indexed citations
9.
Picou, A., et al.. (2008). Isolation and Characterization of Porcine Adipose Tissue-Derived Adult Stem Cells. Cells Tissues Organs. 188(3). 251–258. 45 indexed citations
10.
Picou, A., Robert A. MacLean, B. L. Dresser, R.A. Godke, & K. R. Bondioli. (2008). 285 ISOLATION AND CHARACTERIZATION OF BOVINE ADIPOSE-DERIVED SOMATIC STEM CELLS. Reproduction Fertility and Development. 21(1). 239–240. 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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