Ariane Machado‐Lima
- Molecular Biology
- Cognitive Neuroscience
- Public Health, Environmental and Occupational Health
- Computer Vision and Pattern Recognition top 10%
- Cancer Research
- Co-authors
- Fátima L. S. NunesHernando A. del PortilloAlan Mitchell DurhamHelena BrentaniMaria das Graças Costa AlecrimMônica Regina Farias CostaPamela Orjuela-SánchezJoana Portolese
- Topics
- AI in cancer detection (6 papers)Face recognition and analysis (6 papers)Image Retrieval and Classification Techniques (6 papers)
- Partner nations
- BrazilUnited StatesCzechia
In The Last Decade
Ariane Machado‐Lima
33 papers receiving 414 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 140
- Cognitive Neuroscience 72
- Public Health, Environmental and Occupational Health 67
- Computer Vision and Pattern Recognition 61
- Cancer Research 47
Countries citing papers authored by Ariane Machado‐Lima
This map shows the geographic impact of Ariane Machado‐Lima'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 Ariane Machado‐Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariane Machado‐Lima more than expected).
Fields of papers citing papers by Ariane Machado‐Lima
This network shows the impact of papers produced by Ariane Machado‐Lima. 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 Ariane Machado‐Lima. The network helps show where Ariane Machado‐Lima may publish in the future.
Co-authorship network of co-authors of Ariane Machado‐Lima
This figure shows the co-authorship network connecting the top 25 collaborators of Ariane Machado‐Lima. A scholar is included among the top collaborators of Ariane Machado‐Lima 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 Ariane Machado‐Lima. Ariane Machado‐Lima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 36 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 14 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 9 | |
| 18 | 56 | |
| 19 | 44 | |
| 20 | 38 |
About Ariane Machado‐Lima
Ariane Machado‐Lima is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Cognitive Neuroscience, having authored 39 papers that have together received 422 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Face recognition and analysis (6 papers) and Image Retrieval and Classification Techniques (6 papers). The work is most often cited by research in Biological Psychiatry (12 citations), Human-Computer Interaction (25 citations) and Cognitive Neuroscience (72 citations). Ariane Machado‐Lima has collaborated with scholars based in Brazil, United States and Czechia. Frequent co-authors include Fátima L. S. Nunes, Hernando A. del Portillo, Alan Mitchell Durham, Helena Brentani, Maria das Graças Costa Alecrim, Mônica Regina Farias Costa, Pamela Orjuela-Sánchez, Joana Portolese, Andreia Silva and Hélio Pedrini. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Scientific Reports.
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.