Rachel Cummings
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Sociology and Political Science
- Information Systems top 10%
- Topics
- Privacy-Preserving Technologies in Data (16 papers)Privacy, Security, and Data Protection (9 papers)Auction Theory and Applications (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsManagement Science and Operations ResearchComputer Science Applications
- Journals
- SHILAP Revista de lepidopterologíaOperations ResearchJournal of Machine Learning Research
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Rachel Cummings
27 papers receiving 423 citations
Peers
Comparison fields: 5 of 62
- Statistical and Nonlinear Physics 222
- Artificial Intelligence 175
- Management Science and Operations Research 89
- Sociology and Political Science 79
- Information Systems 68
Countries citing papers authored by Rachel Cummings
This map shows the geographic impact of Rachel Cummings'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 Rachel Cummings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Cummings more than expected).
Fields of papers citing papers by Rachel Cummings
This network shows the impact of papers produced by Rachel Cummings. 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 Rachel Cummings. The network helps show where Rachel Cummings may publish in the future.
Co-authorship network of co-authors of Rachel Cummings
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Cummings. A scholar is included among the top collaborators of Rachel Cummings 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 Rachel Cummings. Rachel Cummings 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 | 5 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 13 | |
| 9 | Single and Multiple Change-Point Detection with Differential Privacy | 2 |
| 10 | 6 | |
| 11 | Learning Auctions with Robust Incentive Guarantees | 4 |
| 12 | Differentially Private Mixed-Type Data Generation For Unsupervised Learning | 12 |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 11 | |
| 16 | 26 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 226 | |
| 20 | Tide and Tidal Current Prediction by High Speed Digital Computer | 8 |
About Rachel Cummings
Rachel Cummings is a scholar working on Computer Science Applications, Health Informatics and Artificial Intelligence, having authored 30 papers that have together received 442 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (16 papers), Privacy, Security, and Data Protection (9 papers) and Auction Theory and Applications (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (222 citations), Management Science and Operations Research (89 citations) and Computer Science Applications (35 citations). Rachel Cummings has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Wei Chen, Yajun Wang, Yifei Yuan, Zhenming Liu, T. Tony Ke, David Rincón, Xiaorui Sun, Wei Wei, Jamie Morgenstern and Varun Gupta. Their work appears in journals such as SHILAP Revista de lepidopterología, Operations Research and Journal of Machine Learning Research.
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.