Ingrid Garberis

1.1k citations
14 papers · 251 indexed · h-index 9
Topics
Head and Neck Cancer Studies (6 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Lung Cancer Research Studies (4 papers)
Partner nations
FranceChinaNetherlands

In The Last Decade

Ingrid Garberis

14 papers receiving 251 citations

Peers

Ingrid Garberis
Comparison fields: 5 of 30
  • Oncology 142
  • Radiology, Nuclear Medicine and Imaging 109
  • Otorhinolaryngology 83
  • Pulmonary and Respiratory Medicine 73
  • Surgery 43
Replace Hai‐Qiang Mai with:
Hai‐Qiang Mai China
Yae‐Eun Suh United Kingdom
Frank Ziemann Germany
Mo‐Fa Gu China
Chuner Jiang China
Astrid De Meulenaere Belgium
Thomas Denize United States
Yue‐Feng Wen China
Meng‐Zhong Liu China
Mariela Blum‐Murphy United States
Ingrid Garberis relative to Hai‐Qiang Mai China Hai‐Qiang Mai's profile →
Citations per field
00.5×2.8×
Hai‐Qiang Mai · 1×
Citations per year

Countries citing papers authored by Ingrid Garberis

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Garberis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingrid Garberis

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 2
2 2
3 37
4 3
5 3
6 8
7 13
8 28
9 16
10 74
11 11
12 34
13 1
14 19

About Ingrid Garberis

Ingrid Garberis is a scholar working on Otorhinolaryngology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 251 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Otorhinolaryngology (83 citations), Oncology (142 citations) and Radiology, Nuclear Medicine and Imaging (109 citations). Ingrid Garberis has collaborated with scholars based in France, China and Netherlands. Frequent co-authors include Yungan Tao, Stéphane Temam, Jean‐Yves Scoazec, Dan Ou, Odile Casiraghi, Pierre Blanchard, Éric Deutsch, Antonin Lévy, Philippe Gorphe and F. Nguyen. Their work appears in journals such as Cancer Research, Clinical Cancer Research and International Journal of Radiation Oncology*Biology*Physics.

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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