Irene Dimitriadis

1.3k total citations
59 papers, 874 citations indexed

About

Irene Dimitriadis is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Irene Dimitriadis has authored 59 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Public Health, Environmental and Occupational Health, 36 papers in Reproductive Medicine and 28 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Irene Dimitriadis's work include Reproductive Biology and Fertility (42 papers), Ovarian function and disorders (22 papers) and Assisted Reproductive Technology and Twin Pregnancy (22 papers). Irene Dimitriadis is often cited by papers focused on Reproductive Biology and Fertility (42 papers), Ovarian function and disorders (22 papers) and Assisted Reproductive Technology and Twin Pregnancy (22 papers). Irene Dimitriadis collaborates with scholars based in United States, Spain and Taiwan. Irene Dimitriadis's co-authors include Irene Souter, Charles L. Bormann, Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, Hadi Shafiee, Russ Hauser, Kristen Smith, Paige L. Williams, Shelley Ehrlich and Hemanth Kandula and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Environmental Health Perspectives.

In The Last Decade

Irene Dimitriadis

53 papers receiving 852 citations

Peers

Irene Dimitriadis

PHEOH

PPCH

HTM

Lei Jin China

Mohamed Fawzy Egypt

Sofoklis Stavros Greece

Chun‐Chia Huang Taiwan

Jiahui Qiu China

Gemma Fabozzi Italy

Firouzeh Ghaffari Iran

Pantelis Zisimopoulos Israel

Milan Perović Serbia

Minhao Hu China

Lei Jin China

Irene Dimitriadis

438 ×0.9

PHEOH

570 ×1.7

225 ×0.7

PPCH

37 ×0.2

HTM

2 ×0.0

Citations per year, relative to Irene Dimitriadis Irene Dimitriadis (= 1×) peers Lei Jin

Countries citing papers authored by Irene Dimitriadis

Since Specialization

Citations

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

Fields of papers citing papers by Irene Dimitriadis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irene Dimitriadis

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

All Works

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20 of 20 papers shown

Dimitriadis, Irene, Irene Souter, Paige L. Williams, et al.. (2025). Phenol biomarker concentrations in human ovarian follicular fluid and the associations with in-vitro fertilization outcomes. International Journal of Hygiene and Environmental Health. 268. 114617–114617. 1 indexed citations

Vagios, Stylianos, Charles L. Bormann, Irene Souter, Michael House, & Irene Dimitriadis. (2024). Risk of hypertensive disorders of pregnancy in electively induced or expectantly managed full-term IVF pregnancies. Reproductive BioMedicine Online. 50(1). 104408–104408.

Jiang, Victoria S., et al.. (2024). Live birth outcomes following single-step blastocyst warming technique – optimizing efficiency without impacting live birth rates. Journal of Assisted Reproduction and Genetics. 41(5). 1193–1202. 6 indexed citations

Jiang, Victoria S., et al.. (2023). BLASTOCYST DEVELOPMENT OF NORMALLY AND ABNORMALLY FERTILIZED EMBRYOS: A TIME-LAPSE IMAGING STUDY. Fertility and Sterility. 120(1). e73–e73. 1 indexed citations

Vagios, Stylianos, et al.. (2023). The impact of different sperm preparation methods on clinical pregnancy and live birth rates in intrauterine insemination cycles: a retrospective single-center cohort study. Fertility and Sterility. 120(3). 617–625.

Jiang, Victoria S., Hemanth Kandula, Prudhvi Thirumalaraju, et al.. (2023). The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status. Journal of Assisted Reproduction and Genetics. 40(2). 301–308. 13 indexed citations

Jiang, Victoria S., Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, et al.. (2022). Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI). Journal of Assisted Reproduction and Genetics. 40(2). 241–249. 4 indexed citations

Jiang, Victoria S., Prudhvi Thirumalaraju, Hemanth Kandula, et al.. (2022). Advancements in the future of automating micromanipulation techniques in the IVF laboratory using deep convolutional neural networks. Journal of Assisted Reproduction and Genetics. 40(2). 251–257. 10 indexed citations

Jiang, Victoria S., Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, et al.. (2022). Using artificial intelligence to avoid human error in identifying embryos: a retrospective cohort study. Journal of Assisted Reproduction and Genetics. 39(10). 2343–2348. 10 indexed citations

10.

Dimitriadis, Irene, Nikica Zaninović, Alejandro Chávez-Badiola, & Charles L. Bormann. (2021). Artificial intelligence in the embryology laboratory: a review. Reproductive BioMedicine Online. 44(3). 435–448. 78 indexed citations

11.

Vagios, Stylianos, et al.. (2020). THE ASSOCIATION OF AMH WITH ENDOMETRIAL THICKNESS IN GONADOTROPIN STIMULATION/INTRAUTERINE INSEMINATION CYCLES. Fertility and Sterility. 114(3). e456–e457. 1 indexed citations

12.

Dimitriadis, Irene, Stylianos Vagios, Irene Souter, et al.. (2020). THE USE OF DEEP-LEARNING CONVOLUTIONAL NEURAL NETWORKS (CNN) TO OBJECTIVELY COMPARE TWO DIFFERENT EMBRYO CULTURE MEDIA. Fertility and Sterility. 114(3). e141–e142. 1 indexed citations

13.

Kanakasabapathy, Manoj Kumar, Prudhvi Thirumalaraju, Charles L. Bormann, et al.. (2019). Development and evaluation of inexpensive automated deep learning-based imaging systems for embryology. Lab on a Chip. 19(24). 4139–4145. 36 indexed citations

14.

Hariton, Eduardo, Irene Dimitriadis, Manoj Kumar Kanakasabapathy, et al.. (2019). A deep learning framework outperforms embryologists in selecting day 5 euploid blastocysts with the highest implantation potential. Fertility and Sterility. 112(3). e77–e78. 4 indexed citations

15.

Vagios, Stylianos, Caitlin R. Sacha, Irene Dimitriadis, et al.. (2019). Can anti-mullerian hormone (AMH) levels predict response to ovulation induction treatments in women with polycystic ovarian syndrome (PCOS)?. Fertility and Sterility. 112(3). e391–e392. 1 indexed citations

16.

Dimitriadis, Irene, Charles L. Bormann, Manoj Kumar Kanakasabapathy, et al.. (2019). Deep convolutional neural networks (CNN) for assessment and selection of normally fertilized human embryos. Fertility and Sterility. 112(3). e272–e272. 13 indexed citations

17.

Bortoletto, Pietro, Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju, et al.. (2019). Predicting blastocyst formation of day 3 embryos using a convolutional neural network (CNN): a machine learning approach. Fertility and Sterility. 112(3). e272–e273. 7 indexed citations

18.

Hariton, Eduardo, Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, et al.. (2019). Deep learning can improve day 5 embryo scoring and decision making in an embryology laboratory. Fertility and Sterility. 112(3). e272–e272. 1 indexed citations

19.

Dimitriadis, Irene, Maria Batsis, John C. Petrozza, & Irene Souter. (2016). Racial Disparities in Fertility Care: an Analysis of 4537 Intrauterine Insemination Cycles. Journal of Racial and Ethnic Health Disparities. 4(2). 169–177. 22 indexed citations

20.

Smith, Kristen, Irene Souter, Irene Dimitriadis, et al.. (2013). Urinary Paraben Concentrations and Ovarian Aging among Women from a Fertility Center. Environmental Health Perspectives. 121(11-12). 1299–1305. 87 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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