Francis Song
- Artificial Intelligence top 10%
- Safety Research
- Information Systems
- Health Informatics top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Saffron HuangEthan PerezAmelia GlaeseGeoffrey IrvingTrevor CaiRoman RingJohn AslanidesMichael W. Varner
- Topics
- Pregnancy and preeclampsia studies (1 paper)Gestational Diabetes Research and Management (1 paper)Multimodal Machine Learning Applications (1 paper)
- Journals
- Obstetrics and GynecologyHarvard international reviewInternational Conference on Machine Learning
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Francis Song
3 papers receiving 138 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 106
- Safety Research 20
- Information Systems 18
- Health Informatics 17
- Computer Vision and Pattern Recognition 16
Countries citing papers authored by Francis Song
This map shows the geographic impact of Francis Song'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 Francis Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Song more than expected).
Fields of papers citing papers by Francis Song
This network shows the impact of papers produced by Francis Song. 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 Francis Song. The network helps show where Francis Song may publish in the future.
Co-authorship network of co-authors of Francis Song
This figure shows the co-authorship network connecting the top 25 collaborators of Francis Song. A scholar is included among the top collaborators of Francis Song 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 Francis Song. Francis Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 128 | |
| 2 | Stabilizing Transformers for Reinforcement Learning | 9 |
| 3 | Currently Indisposed: Managing Radioactive Waste. (Global Notebook) | 0 |
| 4 | 11 |
About Francis Song
Francis Song is a scholar working on Obstetrics and Gynecology, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 4 papers that have together received 148 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (1 paper), Gestational Diabetes Research and Management (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Health Informatics (17 citations), Artificial Intelligence (106 citations) and Safety Research (20 citations). Francis Song has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Saffron Huang, Ethan Perez, Amelia Glaese, Geoffrey Irving, Trevor Cai, Roman Ring, John Aslanides, Michael W. Varner, Donna Dizon‐Townson and Kenneth Ward. Their work appears in journals such as Obstetrics and Gynecology, Harvard international review and International Conference on Machine Learning.
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.