Yiftach Barash

3.3k total citations
77 papers, 2.1k citations indexed

About

Yiftach Barash is a scholar working on Surgery, Health Informatics and Epidemiology. According to data from OpenAlex, Yiftach Barash has authored 77 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 17 papers in Health Informatics and 13 papers in Epidemiology. Recurrent topics in Yiftach Barash's work include Artificial Intelligence in Healthcare and Education (17 papers), Machine Learning in Healthcare (8 papers) and Inflammatory Bowel Disease (8 papers). Yiftach Barash is often cited by papers focused on Artificial Intelligence in Healthcare and Education (17 papers), Machine Learning in Healthcare (8 papers) and Inflammatory Bowel Disease (8 papers). Yiftach Barash collaborates with scholars based in Israel, United States and Denmark. Yiftach Barash's co-authors include Eyal Klang, Eli Konen, Vera Sorin, Shelly Soffer, Uri Kopylov, Orit Shimon, Shomron Ben‐Horin, Rami Eliakim, Eugene Rosenberg and Eyal Zimlichman and has published in prestigious journals such as Gastroenterology, PLoS ONE and Scientific Reports.

In The Last Decade

Yiftach Barash

72 papers receiving 2.0k citations

Peers

Countries citing papers authored by Yiftach Barash

Since Specialization

Citations

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

Fields of papers citing papers by Yiftach Barash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiftach Barash

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

#	Work	Indexed citations
1	Artificial intelligence classifies surgical technical skills in simulated laparoscopy: a pilot study 2025 ·Surgical Endoscopy ·(unknown), Roi Anteby, Eyal Klang, Shelly Soffer, (unknown), Ido Nachmany, Imri Amiel, Yiftach Barash	1
2	Integrated visual and text-based analysis of ophthalmology clinical cases using a large language model 2025 ·Scientific Reports ·Vera Sorin, Noa Kapelushnik, Idan Hecht, Ofira Zloto, Benjamin S. Glicksberg, (unknown), (unknown), Yiftach Barash, Girish N. Nadkarni, Eyal Klang	7
3	Large Language Models and Empathy: Systematic Review 2024 ·Journal of Medical Internet Research ·Vera Sorin, Dana Brin, Yiftach Barash, Eli Konen, Alexander W. Charney, Girish N. Nadkarni, Eyal Klang	48
4	Assessing GPT-4 multimodal performance in radiological image analysis 2024 ·European Radiology ·Dana Brin, Vera Sorin, Yiftach Barash, Eli Konen, Benjamin S. Glicksberg, Girish N. Nadkarni, Eyal Klang	22
5	Evaluating ten years of breast cancer screening with contrast enhanced mammography in women with Intermediate-high risk 2024 ·European Journal of Radiology ·Vera Sorin, (unknown), (unknown), Yiftach Barash, Eyal Klang, Miri Sklair‐Levy	8
6	Clinical experience on the limited role of ultrasound for breast cancer screening in BRCA1 and BRCA2 mutations carriers aged 30–39 years 2024 ·Clinical Imaging ·(unknown), Vera Sorin, (unknown), Rinat Bernstein‐Molho, Eitan Friedman, Yiftach Barash, (unknown), Miri Sklair‐Levy	0
7	Utilizing large language models in breast cancer management: systematic review 2024 ·Journal of Cancer Research and Clinical Oncology ·Vera Sorin, Benjamin S. Glicksberg, (unknown), Yiftach Barash, Eli Konen, Girish N. Nadkarni, Eyal Klang	24
8	AI in the ED: Assessing the efficacy of GPT models vs. physicians in medical score calculation 2024 ·The American Journal of Emergency Medicine ·(unknown), (unknown), (unknown), (unknown), Yiftach Barash, (unknown), Eyal Klang	11
9	Large Language Models and Empathy: Systematic Review (Preprint) 2023 ·Vera Sorin, Dana Brin, Yiftach Barash, Eli Konen, Alexander W. Charney, Girish N. Nadkarni, Eyal Klang	2
10	Advancing radiology practice and research: harnessing the potential of large language models amidst imperfections 2023 ·BJR\|Open ·Eyal Klang, (unknown), Vera Sorin, Yiftach Barash, Girish N. Nadkarni, Eyal Zimlichman	2
11	Large language model (ChatGPT) as a support tool for breast tumor board 2023 ·npj Breast Cancer ·Vera Sorin, Eyal Klang, Miri Sklair‐Levy, Israel Cohen, Douglas Zippel, (unknown), Eli Konen, Yiftach Barash	147
12	Adversarial attacks in radiology – A systematic review 2023 ·European Journal of Radiology ·Vera Sorin, Shelly Soffer, Benjamin S. Glicksberg, Yiftach Barash, Eli Konen, Eyal Klang	19
13	Trend in radiologist workload compared to number of admissions in the emergency department 2022 ·European Journal of Radiology ·(unknown), Yiftach Barash, Eyal Klang, Larisa Guranda, Eli Konen, Noam Tau	42
14	Differentiation Between Malignant and Benign Endoscopic Images of Gastric Ulcers Using Deep Learning 2021 ·Clinical and Experimental Gastroenterology ·Eyal Klang, Yiftach Barash, (unknown), (unknown), Adi Lahat	11
15	Creating Artificial Images for Radiology Applications Using Generative Adversarial Networks (GANs) – A Systematic Review 2020 ·Academic Radiology ·Vera Sorin, Yiftach Barash, Eli Konen, Eyal Klang	128
16	Deep-learning natural language processing for oncological applications 2020 ·The Lancet Oncology ·Vera Sorin, Yiftach Barash, Eli Konen, Eyal Klang	25
17	A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score 2019 ·Journal of General Internal Medicine ·(unknown), Yiftach Barash, (unknown), Yehezkel S. Resheff, (unknown), (unknown), Shelly Soffer, Eyal Zimlichman, Eyal Klang	83
18	Post hemorrhoidectomy complications: CT imaging findings 2019 ·Clinical Imaging ·Eyal Klang, (unknown), Marianne Michal Amitai, Sara Apter, Yiftach Barash, Noam Tau	2
19	Promoting head CT exams in the emergency department triage using a machine learning model 2019 ·Neuroradiology ·Eyal Klang, Yiftach Barash, Shelly Soffer, (unknown), Yehezkel S. Resheff, (unknown), Moni Shahar, (unknown), (unknown), Eyal Zimlichman, Eli Konen	15
20	Electric Field Stimulation Integrated into Perfusion Bioreactor for Cardiac Tissue Engineering 2010 ·Tissue Engineering Part C Methods ·Yiftach Barash, Tal Dvir, (unknown), Emil Ruvinov, Hugo Guterman, Smadar Cohen	66

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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