Moran Artzi

1.7k citations
60 papers · 1.3k · h-index 21

Impact in

    • Radiomics and Machine Learning in Medical Imaging
    • Advanced Neuroimaging Techniques and Applications
    • MRI in cancer diagnosis
    • Advanced MRI Techniques and Applications
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

Moran Artzi

57 papers receiving 1.3k citations

Peers

Moran Artzi
Comparison fields: 5 of 91
  • Radiology, Nuclear Medicine and Imaging 760
  • Genetics 348
  • Neurology 144
  • Neurology 184
  • Cognitive Neuroscience 225
Replace Tianyi Qian with:
Tianyi Qian China
Kaan Yağmurlu United States
Antonella Castellano Italy
Michael E. Sughrue United States
Domenico Aquino Italy
Kouhei Kamiya Japan
Yasuhiro Nakata Japan
Andrés Server Norway
Ammar H. Hawasli United States
Kirk M. Welker United States
Moran Artzi relative to Tianyi Qian China Tianyi Qian's profile →
Citations per field
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Citations per year

Countries citing papers authored by Moran Artzi

Since Specialization
Citations

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

Fields of papers citing papers by Moran Artzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Moran Artzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Moran Artzi Line = papers co-authored together Moran Artzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010171
2 2019135
3 201777
4 201366
5 201455
6 201754
7 201341
8 201837
9 201436
10 201733
11 201432
12 201532
13 201228
14 202027
15 201625
16 201723
17 201523
18 202123
19 201422
20 201921

About Moran Artzi

Moran Artzi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Genetics, Neurology and Psychiatry and Mental health, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (19 papers), Advanced MRI Techniques and Applications (18 papers), MRI in cancer diagnosis (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Glioma Diagnosis and Treatment (10 papers), Neonatal and fetal brain pathology (9 papers), Cerebral Palsy and Movement Disorders (6 papers) and Functional Brain Connectivity Studies (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (760 citations), Genetics (348 citations), Neurology (144 citations), Neurology (184 citations) and Cognitive Neuroscience (225 citations). Moran Artzi has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Dafna Ben Bashat, Orna Aizenstein, Felix Bokstein, Gilad Liberman, Deborah T. Blumenthal, M A Weinstein, Liat Ben‐Sira, Talma Hendler, Ricardo Tarrasch and Ben Shofty. Their work appears in journals such as Journal of Neuro-Oncology, Journal of Magnetic Resonance Imaging, PLoS ONE, npj Parkinson s Disease and Technology in Cancer Research & Treatment.

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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