Alexander Ratner

3.2k total citations · 1 hit paper
22 papers, 1.1k citations indexed

About

Alexander Ratner is a scholar working on Artificial Intelligence, Molecular Biology and Physiology. According to data from OpenAlex, Alexander Ratner has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Alexander Ratner's work include Machine Learning and Data Classification (7 papers), Pain Mechanisms and Treatments (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Alexander Ratner is often cited by papers focused on Machine Learning and Data Classification (7 papers), Pain Mechanisms and Treatments (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Alexander Ratner collaborates with scholars based in United States, Israel and Ireland. Alexander Ratner's co-authors include Henry R. Ehrenberg, Stephen H. Bach, Sen Wu, Jason Fries, Christopher Ré, Christopher Ré, Cristina Re, Ze’ev Seltzer, Yoram Shir and Jared Dunnmon and has published in prestigious journals such as Nature Communications, Science Translational Medicine and Neuroreport.

In The Last Decade

Alexander Ratner

21 papers receiving 988 citations

Hit Papers

Snorkel 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Snorkel
    2017 378 citations Alexander Ratner, Stephen H. Bach et al. Proceedings of the VLDB Endowment profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Ratner United States 13 653 148 132 131 89 22 1.1k
Yue Ning China 18 649 1.0× 209 1.4× 41 0.3× 126 1.0× 61 0.7× 91 1.3k
Nikita Jain India 17 424 0.6× 161 1.1× 267 2.0× 86 0.7× 38 0.4× 85 1.3k
Vaibhav Rajan Singapore 15 270 0.4× 209 1.4× 71 0.5× 109 0.8× 24 0.3× 62 741
Quan Bai Australia 17 265 0.4× 75 0.5× 64 0.5× 176 1.3× 64 0.7× 155 1.0k
Kumiko Tanaka‐Ishii Japan 21 507 0.8× 123 0.8× 114 0.9× 73 0.6× 105 1.2× 90 1.2k
Keith Noto United States 8 475 0.7× 189 1.3× 86 0.7× 60 0.5× 21 0.2× 13 938
Pedro González Spain 15 467 0.7× 123 0.8× 27 0.2× 348 2.7× 40 0.4× 45 818
Ruiyi Zhang United States 19 386 0.6× 296 2.0× 223 1.7× 88 0.7× 60 0.7× 79 1.2k

Countries citing papers authored by Alexander Ratner

Since Specialization
Citations

This map shows the geographic impact of Alexander Ratner'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 Alexander Ratner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Ratner more than expected).

Fields of papers citing papers by Alexander Ratner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Ratner. 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 Alexander Ratner. The network helps show where Alexander Ratner may publish in the future.

Co-authorship network of co-authors of Alexander Ratner

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Ratner. A scholar is included among the top collaborators of Alexander Ratner 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 Alexander Ratner. Alexander Ratner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hsieh, Cheng-Yu, Yung-Sung Chuang, Chunliang Li, et al.. (2024). Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization. 14982–14995. 3 indexed citations
2.
3.
Hsieh, Cheng-Yu, Jieyu Zhang, & Alexander Ratner. (2022). Nemo. Proceedings of the VLDB Endowment. 15(13). 4093–4105. 3 indexed citations
4.
Birgmeier, Johannes, Maximilian Haeussler, Cole A. Deisseroth, et al.. (2020). AMELIE speeds Mendelian diagnosis by matching patient phenotype and genotype to primary literature. Science Translational Medicine. 12(544). 56 indexed citations
5.
Kuleshov, Volodymyr, Jialin Ding, Braden Hancock, et al.. (2019). A machine-compiled database of genome-wide association studies. Nature Communications. 10(1). 3341–3341. 12 indexed citations
6.
Ratner, Alexander, Braden Hancock, & Christopher Ré. (2019). The Role of Massively Multi-Task and Weak Supervision in Software 2.0.. Conference on Innovative Data Systems Research. 10 indexed citations
7.
Varma, Paroma, et al.. (2019). Learning Dependency Structures for Weak Supervision Models. International Conference on Machine Learning. 6418–6427. 6 indexed citations
8.
Ratner, Alexander, Stephen H. Bach, Henry R. Ehrenberg, et al.. (2019). Snorkel: rapid training data creation with weak supervision. The VLDB Journal. 29(2-3). 709–730. 201 indexed citations
9.
Ratner, Alexander, et al.. (2019). Training Complex Models with Multi-Task Weak Supervision. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4763–4771. 76 indexed citations
10.
Dao, Tri, et al.. (2019). A Kernel Theory of Modern Data Augmentation.. PubMed. 97. 1528–1537. 19 indexed citations
11.
Ratner, Alexander, Stephen H. Bach, Henry R. Ehrenberg, et al.. (2017). Snorkel: A System for Lightweight Extraction.. Conference on Innovative Data Systems Research. 2 indexed citations
12.
Ratner, Alexander, Stephen H. Bach, Henry R. Ehrenberg, & Chris Ré. (2017). Snorkel. 1683–1686. 40 indexed citations
13.
Ratner, Alexander, Henry R. Ehrenberg, Zeshan Hussain, Jared Dunnmon, & Cristina Re. (2017). Learning to Compose Domain-Specific Transformations for Data Augmentation.. PubMed. 30. 3239–3249. 35 indexed citations
14.
Bach, Stephen H., Bryan He, Alexander Ratner, & Cristina Re. (2017). Learning the Structure of Generative Models without Labeled Data.. PubMed. 70. 273–82. 34 indexed citations
15.
Ratner, Alexander, Stephen H. Bach, Henry R. Ehrenberg, et al.. (2017). Snorkel. Proceedings of the VLDB Endowment. 11(3). 269–282. 378 indexed citations breakdown →
16.
Ratner, Alexander, Christopher De, Sen Wu, Daniel Selsam, & Cristina Re. (2016). Data Programming: Creating Large Training Sets, Quickly.. PubMed. 29. 3567–3575. 56 indexed citations
17.
Vatine, Jean‐Jacques, et al.. (1998). A novel computerized system for analyzing motor and social behavior in groups of animals. Journal of Neuroscience Methods. 85(1). 1–11. 15 indexed citations
18.
Belfer, Inna, et al.. (1998). Dietary supplementation with the inhibitory amino acid taurine suppresses autotomy in HA rats. Neuroreport. 9(13). 3103–3107. 12 indexed citations
19.
Shir, Yoram, Alexander Ratner, Srinivasa N. Raja, James N. Campbell, & Ze’ev Seltzer. (1998). Neuropathic pain following partial nerve injury in rats is suppressed by dietary soy. Neuroscience Letters. 240(2). 73–76. 56 indexed citations
20.
Shir, Yoram, Alexander Ratner, & Ze’ev Seltzer. (1997). Diet can modify autotomy behavior in rats following peripheral neurectomy. Neuroscience Letters. 236(2). 71–74. 25 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yue Ning Breakdown of academic impact, for papers by Nikita Jain Breakdown of academic impact, for papers by Vaibhav Rajan Breakdown of academic impact, for papers by Quan Bai Breakdown of academic impact, for papers by Kumiko Tanaka‐Ishii Breakdown of academic impact, for papers by Keith Noto Breakdown of academic impact, for papers by Pedro González Breakdown of academic impact, for papers by Ruiyi Zhang
Rankless by CCL
2026