Camilo Bermudez

1.2k citations
29 papers · 594 indexed · h-index 13
Topics
Radiomics and Machine Learning in Medical Imaging (5 papers)Medical Image Segmentation Techniques (5 papers)Dementia and Cognitive Impairment Research (4 papers)
Partner nations
United StatesChina

In The Last Decade

Camilo Bermudez

27 papers receiving 584 citations

Peers

Camilo Bermudez
Comparison fields: 5 of 95
  • Radiology, Nuclear Medicine and Imaging 262
  • Computer Vision and Pattern Recognition 166
  • Artificial Intelligence 112
  • Cognitive Neuroscience 105
  • Biomedical Engineering 81
Replace Matías Nicolás Bossa with:
Matías Nicolás Bossa Spain
Qingyu Zhao United States
Annemie Ribbens Belgium
Akinori Mitani United States
Charles Huang United States
Rudra P. K. Poudel United Kingdom
Saori Koshino Japan
Dimosthenis Tsagkrasoulis Greece
Alberto Redolfi Italy
Lotta M. Ellingsen United States
Camilo Bermudez relative to Matías Nicolás Bossa Spain Matías Nicolás Bossa's profile →
Citations per field
00.5×2.8×
Matías Nicolás Bossa · 1×
Citations per year

Countries citing papers authored by Camilo Bermudez

Since Specialization
Citations

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

Fields of papers citing papers by Camilo Bermudez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camilo Bermudez

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 1
4 0
5 24
6 10
7 56
8 35
9 8
10 27
11 12
12 11
13 26
14 185
15 11
16 6
17 40
18 5
19 2
20 23

About Camilo Bermudez

Camilo Bermudez is a scholar working on Neuropsychology and Physiological Psychology, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health, having authored 29 papers that have together received 594 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Medical Image Segmentation Techniques (5 papers) and Dementia and Cognitive Impairment Research (4 papers). The work is most often cited by research in Health Informatics (29 citations), Radiology, Nuclear Medicine and Imaging (262 citations) and Neurology (74 citations). Camilo Bermudez has collaborated with scholars based in United States and China. Frequent co-authors include Bennett A. Landman, Yuankai Huo, Shunxing Bao, Zhoubing Xu, Prasanna Parvathaneni, Susan M. Resnick, Katherine S. Aboud, Laurie E. Cutting, Brenda E. Porter and Richard G. Abramson. Their work appears in journals such as NeuroImage, IEEE Transactions on Medical Imaging and Epilepsia.

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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