Ricardo Henao
- Artificial Intelligence top 1%
- Epidemiology top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Lawrence CarinDinghan ShenYizhe ZhangGuoyin WangWenlin WangChunyuan LiZhe GanManal F. Abdelmalek
- Topics
- Topic Modeling (23 papers)Respiratory viral infections research (15 papers)AI in cancer detection (15 papers)
- Journals
- JAMACirculationNature Communications
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Ricardo Henao
155 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 175
- Artificial Intelligence 1.1k
- Epidemiology 520
- Molecular Biology 424
- Computer Vision and Pattern Recognition 303
- Radiology, Nuclear Medicine and Imaging 295
Countries citing papers authored by Ricardo Henao
This map shows the geographic impact of Ricardo Henao'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 Ricardo Henao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Henao more than expected).
Fields of papers citing papers by Ricardo Henao
This network shows the impact of papers produced by Ricardo Henao. 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 Ricardo Henao. The network helps show where Ricardo Henao may publish in the future.
Co-authorship network of co-authors of Ricardo Henao
This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Henao. A scholar is included among the top collaborators of Ricardo Henao 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 Ricardo Henao. Ricardo Henao 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 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images. | 5 |
| 19 | 269 | |
| 20 | Large-scale Bayesian multi-label learning via topic-based label embeddings | 20 |
About Ricardo Henao
Ricardo Henao is a scholar working on Artificial Intelligence, Epidemiology and Computer Vision and Pattern Recognition, having authored 169 papers that have together received 2.7k indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Respiratory viral infections research (15 papers) and AI in cancer detection (15 papers). The work is most often cited by research in Health Informatics (91 citations), Artificial Intelligence (1.1k citations) and Epidemiology (520 citations). Ricardo Henao has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Lawrence Carin, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Chunyuan Li, Zhe Gan, Manal F. Abdelmalek, Xinyuan Zhang and Cynthia A. Moylan. Their work appears in journals such as JAMA, Circulation and Nature Communications.
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.