Francis Song

725 total citations
4 papers, 148 citations indexed

About

Francis Song is a scholar working on Artificial Intelligence, Pediatrics, Perinatology and Child Health and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francis Song has authored 4 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Pediatrics, Perinatology and Child Health and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Francis Song's work include Pregnancy and preeclampsia studies (1 paper), Gestational Diabetes Research and Management (1 paper) and Multimodal Machine Learning Applications (1 paper). Francis Song is often cited by papers focused on Pregnancy and preeclampsia studies (1 paper), Gestational Diabetes Research and Management (1 paper) and Multimodal Machine Learning Applications (1 paper). Francis Song collaborates with scholars based in United States and United Kingdom. Francis Song's co-authors include John Aslanides, Geoffrey Irving, Trevor Cai, Saffron Huang, Ethan Perez, Amelia Glaese, Roman Ring, Kenneth Ward, Michael W. Varner and Donna Dizon‐Townson and has published in prestigious journals such as Obstetrics and Gynecology, Harvard international review and International Conference on Machine Learning.

In The Last Decade

Francis Song

3 papers receiving 138 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Francis Song United States	3	106	20	18	17	16	4	148
Trevor Cai United States	3	99 0.9×	20 1.0×	19 1.1×	17 1.0×	16 1.0×	5	146
Amelia Glaese United States	4	100 0.9×	22 1.1×	18 1.0×	17 1.0×	15 0.9×	6	145
Saffron Huang United Kingdom	2	103 1.0×	29 1.4×	18 1.0×	17 1.0×	15 0.9×	2	145
Potsawee Manakul United Kingdom	5	130 1.2×	5 0.3×	17 0.9×	16 0.9×	9 0.6×	13	173
David Madras Canada	4	88 0.8×	52 2.6×	9 0.5×	19 1.1×	21 1.3×	9	133
Josh Gardner United States	6	81 0.8×	24 1.2×	15 0.8×	6 0.4×	9 0.6×	13	148
Natalie Dullerud United States	4	69 0.7×	11 0.6×	15 0.8×	15 0.9×	11 0.7×	7	90
Pablo Pedemonte United States	5	84 0.8×	22 1.1×	7 0.4×	20 1.2×	11 0.7×	7	106
Nicholas Meade Canada	3	89 0.8×	10 0.5×	11 0.6×	8 0.5×	14 0.9×	3	116
Elliot Creager Canada	6	131 1.2×	40 2.0×	13 0.7×	14 0.8×	45 2.8×	11	166

Countries citing papers authored by Francis Song

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

1.

Perez, Ethan, Saffron Huang, Francis Song, et al.. (2022). Red Teaming Language Models with Language Models. 3419–3448. 128 indexed citations

2.

Parisotto, Emilio, Francis Song, Jack W. Rae, et al.. (2020). Stabilizing Transformers for Reinforcement Learning. International Conference on Machine Learning. 1. 7487–7498. 9 indexed citations

3.

Song, Francis. (2003). Currently Indisposed: Managing Radioactive Waste. (Global Notebook). Harvard international review. 25(2). 8.

4.

Varner, Michael W., et al.. (2003). A Molecular Variant of Angiotensinogen Is Associated With Idiopathic Intrauterine Growth Restriction. Obstetrics and Gynecology. 101(2). 237–242. 11 indexed citations

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.

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