Ittai Dayan

991 total citations
8 papers, 114 citations indexed

About

Ittai Dayan is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Artificial Intelligence. According to data from OpenAlex, Ittai Dayan has authored 8 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Health Informatics and 3 papers in Artificial Intelligence. Recurrent topics in Ittai Dayan's work include COVID-19 diagnosis using AI (5 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Pneumonia and Respiratory Infections (2 papers). Ittai Dayan is often cited by papers focused on COVID-19 diagnosis using AI (5 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Pneumonia and Respiratory Infections (2 papers). Ittai Dayan collaborates with scholars based in United States, Israel and South Korea. Ittai Dayan's co-authors include Varun Buch, Quanzheng Li, Dufan Wu, Bernardo C. Bizzo, Mannudeep K. Kalra, Anmol Arora, Christopher A. Lovejoy, Byung Seok Kim, Xiang Li and Woo Jin Chung and has published in prestigious journals such as Scientific Reports, Medicine and Medical Image Analysis.

In The Last Decade

Ittai Dayan

7 papers receiving 111 citations

Peers

Ittai Dayan

RNMI

AI

HI

CVPR

PRM

Dariush Askari Iran

Rachel Lea Draelos United States

Valeria Chernina Russia

Subbaram Naidu United States

Ivan A. Blokhin Russia

Dandan Tu China

Hadi Karimi Mobin Iran

Michail Mamalakis United Kingdom

Joshua Lampert United States

Anouk Stein United States

Dariush Askari Iran

Ittai Dayan

197 ×2.7

RNMI

40 ×1.0

AI

31 ×1.1

HI

13 ×0.7

CVPR

34 ×1.9

PRM

Citations per year, relative to Ittai Dayan Ittai Dayan (= 1×) peers Dariush Askari

Countries citing papers authored by Ittai Dayan

Since Specialization

Citations

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

Fields of papers citing papers by Ittai Dayan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ittai Dayan

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Anwar, Syed Muhammad, et al.. (2024). CAFES: chest x-ray analysis using federated self-supervised learning for pediatric Covid-19 detection. PubMed. 12927. 51–51. 2 indexed citations

2.

Dayan, Ittai, Elliot K. Fishman, Mona G. Flores, et al.. (2023). Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes. Health Informatics Journal. 29(4). 1207693120–1207693120. 4 indexed citations

3.

Li, Matthew, Nishanth Arun, Mehak Aggarwal, et al.. (2022). Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19. Medicine. 101(29). e29587–e29587. 10 indexed citations

4.

Rockenbach, Marcio Aloísio Bezerra Cavalcanti, Varun Buch, Vikash Gupta, et al.. (2022). Automatic detection of decreased ejection fraction and left ventricular hypertrophy on 4D cardiac CTA: Use of artificial intelligence with transfer learning to facilitate multi-site operations. Intelligence-Based Medicine. 6. 100051–100051.

5.

Zhong, Aoxiao, Xiang Li, Dufan Wu, et al.. (2021). Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. Medical Image Analysis. 70. 101993–101993. 51 indexed citations

6.

Ebrahimian, Shadi, Fatemeh Homayounieh, Marcio Aloísio Bezerra Cavalcanti Rockenbach, et al.. (2021). Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study. Scientific Reports. 11(1). 858–858. 30 indexed citations

7.

Lovejoy, Christopher A., Anmol Arora, Varun Buch, & Ittai Dayan. (2021). Digital Technology: Key considerations for the use of artificial intelligence in healthcare and clinical research. Future Healthcare Journal. 9(1). 75–78. 14 indexed citations

8.

Tamir, Dov, et al.. (2001). Health knowledge, attitudes, and practice (KAP)--a basis for health promotion policy in Israel.. PubMed. 29(2-4). 145–51. 3 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.

Explore authors with similar magnitude of impact