Melissa Berthelot

2.0k citations
11 papers · 1.3k indexed · 1 hit paper · h-index 6

Melissa Berthelot

10 papers receiving 1.3k citations

Hit Papers

Deep Learning for Health Informatics1.3k20162026201920224008001.2k

Peers

Melissa Berthelot
Comparison fields: 5 of 159
  • Health Informatics 99
  • Health Information Management 162
  • Artificial Intelligence 511
  • Radiology, Nuclear Medicine and Imaging 346
  • Neurology 104
Replace Corey Arnold with:
Corey Arnold United States
Venkatanareshbabu Kuppili India
Charence Wong United Kingdom
Shivajirao M. Jadhav India
Daniele Ravì Italy
S. M. Reza Soroushmehr United States
Steven A. Hicks Norway
Bikesh Kumar Singh India
Narendra D. Londhe India
Ruogu Fang United States
Melissa Berthelot relative to Corey Arnold United States Corey Arnold's profile →
Citations per field
00.5×1.7×
Corey Arnold · 1×
Citations per year

Countries citing papers authored by Melissa Berthelot

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Berthelot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Melissa Berthelot, 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 Melissa Berthelot Line = papers co-authored together Melissa Berthelot links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20221
2 20209
3 201914
4 201911
5 20181
6 20180
7 201714
8 20174
9 20172
10 20168
11
Deep Learning for Health Informaticsbreakdown →
20161252

About Melissa Berthelot

Melissa Berthelot is a scholar working on Health Information Management, Surgery and Oral Surgery, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reconstructive Surgery and Microvascular Techniques (5 papers), Optical Imaging and Spectroscopy Techniques (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Breast Implant and Reconstruction (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), IoT and Edge/Fog Computing (1 paper), Artificial Intelligence in Healthcare (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Health Informatics (99 citations), Health Information Management (162 citations) and Artificial Intelligence (511 citations). Melissa Berthelot has collaborated with scholars based in United Kingdom. Frequent co-authors include Benny Lo, Guang‐Zhong Yang, Charence Wong, Daniele Ravì, Fani Deligianni, Javier Andreu-Pérez, Daniel Leff, Francis P. Henry, Judith Hunter and Piers R. Boshier. Their work appears in journals such as Journal of Biomedical Optics, IEEE Journal of Biomedical and Health Informatics and European Journal of Surgical Oncology.

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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