Yaara Goldschmidt

566 citations
15 papers · 339 indexed · h-index 9
Topics
Machine Learning in Healthcare (3 papers)Genomics and Rare Diseases (2 papers)Artificial Intelligence in Healthcare (2 papers)

In The Last Decade

Yaara Goldschmidt

14 papers receiving 327 citations

Peers

Yaara Goldschmidt
Comparison fields: 5 of 88
  • Artificial Intelligence 133
  • Radiology, Nuclear Medicine and Imaging 95
  • Molecular Biology 54
  • Health Informatics 46
  • Psychiatry and Mental health 44
Replace Mahdieh Montazeri with:
Mahdieh Montazeri Iran
Sean Finan United States
Arturo López Pineda United States
Carol Waudby United States
Xiaowei Xu China
Wenjuan Wang United Kingdom
Gergő Bohner United Kingdom
Raja-Elie E. Abdulnour United States
Benjamin Kompa United States
Iain B. McInnes United Kingdom
Yaara Goldschmidt relative to Mahdieh Montazeri Iran Mahdieh Montazeri's profile →
Citations per field
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Mahdieh Montazeri · 1×
Citations per year

Countries citing papers authored by Yaara Goldschmidt

Since Specialization
Citations

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

Fields of papers citing papers by Yaara Goldschmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaara Goldschmidt

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 12
2 16
3 32
4 126
5 11
6 3
7 8
8 1
9 14
10 35
11 52
12 21
13 0
14 2
15 6

About Yaara Goldschmidt

Yaara Goldschmidt is a scholar working on Health Information Management, Software and Molecular Medicine, having authored 15 papers that have together received 339 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (3 papers), Genomics and Rare Diseases (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (46 citations), Health Information Management (23 citations) and Artificial Intelligence (133 citations). Yaara Goldschmidt has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Michal Rosen‐Zvi, Michal Ozery-Flato, Chen Yanover, Omer Weissbrod, Ranit Aharonov, Michal Chorev, Ella Barkan, Gideon Koren, Ayelet Akselrod-Ballin and Varda Shalev. Their work appears in journals such as Scientific Reports, Radiology and Journal of Medical Internet Research.

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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