Gustavo Mercier
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Otorhinolaryngology top 1%
- Oncology top 10%
- Co-authors
- Rathan M. SubramaniamPatrick J. PellerElizabeth H. DibbleE. Francis CookOsamu SakaiDevaki Shilpa SurasiMinh Tam TruongJessica Davison
- Topics
- Radiomics and Machine Learning in Medical Imaging (18 papers)Medical Imaging Techniques and Applications (14 papers)Head and Neck Cancer Studies (10 papers)
- Cited by
- OtorhinolaryngologyRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- SHILAP Revista de lepidopterologíaRadiologyInternational Journal of Molecular Sciences
- Partner nations
- United StatesJapanBelgium
In The Last Decade
Gustavo Mercier
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 723
- Pulmonary and Respiratory Medicine 462
- Surgery 339
- Otorhinolaryngology 276
- Oncology 240
Countries citing papers authored by Gustavo Mercier
This map shows the geographic impact of Gustavo Mercier'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 Gustavo Mercier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gustavo Mercier more than expected).
Fields of papers citing papers by Gustavo Mercier
This network shows the impact of papers produced by Gustavo Mercier. 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 Gustavo Mercier. The network helps show where Gustavo Mercier may publish in the future.
Co-authorship network of co-authors of Gustavo Mercier
This figure shows the co-authorship network connecting the top 25 collaborators of Gustavo Mercier. A scholar is included among the top collaborators of Gustavo Mercier 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 Gustavo Mercier. Gustavo Mercier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 34 | |
| 5 | 17 | |
| 6 | 11 | |
| 7 | 19 | |
| 8 | 141 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 51 | |
| 12 | 30 | |
| 13 | 193 | |
| 14 | 28 | |
| 15 | 89 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 5 | |
| 20 | 8 |
About Gustavo Mercier
Gustavo Mercier is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Biological Psychiatry, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), Medical Imaging Techniques and Applications (14 papers) and Head and Neck Cancer Studies (10 papers). The work is most often cited by research in Otorhinolaryngology (276 citations), Radiology, Nuclear Medicine and Imaging (723 citations) and Pulmonary and Respiratory Medicine (462 citations). Gustavo Mercier has collaborated with scholars based in United States, Japan and Belgium. Frequent co-authors include Rathan M. Subramaniam, Patrick J. Peller, Elizabeth H. Dibble, E. Francis Cook, Osamu Sakai, Devaki Shilpa Surasi, Minh Tam Truong, Jessica Davison, Gregory A. Russo and Brogan Ashley. Their work appears in journals such as SHILAP Revista de lepidopterología, Radiology and International Journal of Molecular Sciences.
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.