Samantha Kleinberg
- Artificial Intelligence top 5%
- Public Health, Environmental and Occupational Health
- Neurology top 10%
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Co-authors
- George HripcsakYuxiao HuangJan ClaassenBud MishraMin ZhengE. Sander ConnollyDavid J. AlbersNathaniel D. Heintzman
- Topics
- Bayesian Modeling and Causal Inference (13 papers)Diabetes Management and Research (11 papers)Nutritional Studies and Diet (9 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Samantha Kleinberg
54 papers receiving 785 citations
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 218
- Public Health, Environmental and Occupational Health 114
- Neurology 107
- Computer Vision and Pattern Recognition 102
- Biomedical Engineering 80
Countries citing papers authored by Samantha Kleinberg
This map shows the geographic impact of Samantha Kleinberg'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 Samantha Kleinberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samantha Kleinberg more than expected).
Fields of papers citing papers by Samantha Kleinberg
This network shows the impact of papers produced by Samantha Kleinberg. 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 Samantha Kleinberg. The network helps show where Samantha Kleinberg may publish in the future.
Co-authorship network of co-authors of Samantha Kleinberg
This figure shows the co-authorship network connecting the top 25 collaborators of Samantha Kleinberg. A scholar is included among the top collaborators of Samantha Kleinberg 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 Samantha Kleinberg. Samantha Kleinberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 29 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | Tell me something I don't know: How perceived knowledge influences the use of information during decision making. | 2 |
| 12 | 14 | |
| 13 | A method for automating token causal explanation and discovery | 2 |
| 14 | 8 | |
| 15 | Fast and Accurate Causal Inference from Time Series Data | 5 |
| 16 | Causal inference with rare events in large-scale time-series data | 3 |
| 17 | 13 | |
| 18 | 108 | |
| 19 | The temporal logic of token causes | 3 |
| 20 | Modal Logic, Temporal Models and Neural Circuits: What Connects Them | 1 |
About Samantha Kleinberg
Samantha Kleinberg is a scholar working on Health Information Management, Artificial Intelligence and Health Informatics, having authored 60 papers that have together received 821 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (13 papers), Diabetes Management and Research (11 papers) and Nutritional Studies and Diet (9 papers). The work is most often cited by research in Health Information Management (69 citations), Health Informatics (16 citations) and Human-Computer Interaction (40 citations). Samantha Kleinberg has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include George Hripcsak, Yuxiao Huang, Jan Claassen, Bud Mishra, Min Zheng, E. Sander Connolly, David J. Albers, Nathaniel D. Heintzman, J. Michael Schmidt and Lawrence J. Hirsch. Their work appears in journals such as PLoS ONE, Annals of Neurology and Journal of Nutrition.
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.