Gerardo Fernández
- Psychiatry and Mental health top 10%
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging
- Molecular Biology
- Cognitive Neuroscience
- Co-authors
- Osvaldo AgamennoniDavid C. ChhiengJerry WaismanJoan CangiarellaOscar L. ColomboPablo S. MandolesiJean‐Marc CohenMario A. Parra
- Topics
- Dementia and Cognitive Impairment Research (12 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)AI in cancer detection (8 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesArgentinaUnited Kingdom
In The Last Decade
Gerardo Fernández
48 papers receiving 631 citations
Peers
Comparison fields: 5 of 111
- Psychiatry and Mental health 123
- Pulmonary and Respiratory Medicine 116
- Radiology, Nuclear Medicine and Imaging 106
- Molecular Biology 105
- Cognitive Neuroscience 100
Countries citing papers authored by Gerardo Fernández
This map shows the geographic impact of Gerardo Fernández'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 Gerardo Fernández with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerardo Fernández more than expected).
Fields of papers citing papers by Gerardo Fernández
This network shows the impact of papers produced by Gerardo Fernández. 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 Gerardo Fernández. The network helps show where Gerardo Fernández may publish in the future.
Co-authorship network of co-authors of Gerardo Fernández
This figure shows the co-authorship network connecting the top 25 collaborators of Gerardo Fernández. A scholar is included among the top collaborators of Gerardo Fernández 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 Gerardo Fernández. Gerardo Fernández is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 24 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | 17 | |
| 13 | Mycobacterium Tuberculosis Infection: Participation of TH1, TH2, TH17 and Regulatory T Cells in the Immune Response | 5 |
| 14 | 12 | |
| 15 | 14 | |
| 16 | 21 | |
| 17 | 70 | |
| 18 | 25 | |
| 19 | 47 | |
| 20 | Influencia de la textura en la deslaminación de chapas de alta resistencia | 1 |
About Gerardo Fernández
Gerardo Fernández is a scholar working on Human-Computer Interaction, Psychiatry and Mental health and Ophthalmology, having authored 56 papers that have together received 654 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (12 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Human-Computer Interaction (75 citations), Psychiatry and Mental health (123 citations) and Ophthalmology (58 citations). Gerardo Fernández has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Osvaldo Agamennoni, David C. Chhieng, Jerry Waisman, Joan Cangiarella, Oscar L. Colombo, Pablo S. Mandolesi, Jean‐Marc Cohen, Mario A. Parra, Luis E. Politi and Nora P. Rotstein. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.