Alexander Ratner
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Machine Learning and Data Classification
- Natural Language Processing Techniques
- Data Stream Mining Techniques
- Machine Learning and Algorithms
- Health Informatics top 5%
Papers in
-
- Machine Learning and Data Classification 7
- Domain Adaptation and Few-Shot Learning 3
- Topic Modeling 2
- Explainable Artificial Intelligence (XAI) 2
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- Biomedical Text Mining and Ontologies 2
- Co-authors
- Henry R. Ehrenberg (6 shared papers)Stephen H. Bach (5 shared papers)Sen Wu (4 shared papers)Jason Fries (4 shared papers)Christopher Ré (4 shared papers)Christopher Ré (6 shared papers)Cristina Re (4 shared papers)Ze’ev Seltzer (4 shared papers)
- Journals
- Proceedings of the VLDB Endowment (2 papers)Neuroreport (1 paper)The VLDB Journal (1 paper)Science Translational Medicine (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Alexander Ratner
22 papers receiving 1.1k citations
Alexander Ratner's Hit Papers
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 696
- Health Informatics 23
- Computer Science Applications 49
- Management Science and Operations Research 104
- Computer Vision and Pattern Recognition 140
Countries citing papers authored by Alexander Ratner
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
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-authors
The 25 scholars most cited alongside Alexander Ratner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Snorkel Hit paper breakdown → | 2017 | 429 |
| 2 | 2019 | 222 | |
| 3 | 2019 | 84 | |
| 4 | 1998 | 62 | |
| 5 | 2020 | 59 | |
| 6 | Data Programming: Creating Large Training Sets, Quickly. | 2016 | 56 |
| 7 | 2017 | 46 | |
| 8 | Learning to Compose Domain-Specific Transformations for Data Augmentation. | 2017 | 36 |
| 9 | Learning the Structure of Generative Models without Labeled Data. | 2017 | 35 |
| 10 | 1997 | 26 | |
| 11 | A Kernel Theory of Modern Data Augmentation. | 2019 | 19 |
| 12 | 2019 | 16 | |
| 13 | 1998 | 15 | |
| 14 | 2016 | 15 | |
| 15 | 1998 | 13 | |
| 16 | The Role of Massively Multi-Task and Weak Supervision in Software 2.0. | 2019 | 9 |
| 17 | Learning Dependency Structures for Weak Supervision Models | 2019 | 7 |
| 18 | 2024 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 3 |
About Alexander Ratner
Alexander Ratner is a scholar working on Artificial Intelligence, Molecular Biology, Physiology, Neurology and Information Systems, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (7 papers), Pain Mechanisms and Treatments (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Topic Modeling (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Biomedical Text Mining and Ontologies (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Software Engineering Techniques and Practices (1 paper). The work is most often cited by research in Artificial Intelligence (696 citations), Health Informatics (23 citations), Computer Science Applications (49 citations), Management Science and Operations Research (104 citations) and Computer Vision and Pattern Recognition (140 citations). Alexander Ratner has collaborated with scholars based in United States, Israel and Japan. Frequent 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. Their work appears in journals such as Proceedings of the VLDB Endowment, Neuroreport, The VLDB Journal, Science Translational Medicine 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.