Rob Hall
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
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- Data Quality and Management
Papers in
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- Privacy-Preserving Technologies in Data 4
- Cryptography and Data Security 2
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- Image and Video Quality Assessment 1
- Co-authors
- Stephen E. Fienberg (2 shared papers)Yuval Nardi (1 shared paper)Rebecca C. Steorts (1 shared paper)Larry Wasserman (1 shared paper)Alessandro Rinaldo (1 shared paper)Josh Attenberg (2 shared papers)Diane Hu (1 shared paper)Charles Sutton (1 shared paper)
- Journals
- Journal of Bacteriology (1 paper)Journal of the American Statistical Association (1 paper)Journal of Machine Learning Research (1 paper)PLoS ONE (1 paper)Journal of Official Statistics (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Rob Hall
10 papers receiving 281 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 168
- Management Science and Operations Research 63
- Statistics and Probability 41
- Computer Science Applications 13
- Information Systems 40
Countries citing papers authored by Rob Hall
This map shows the geographic impact of Rob Hall'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 Rob Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Hall more than expected).
Fields of papers citing papers by Rob Hall
This network shows the impact of papers produced by Rob Hall. 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 Rob Hall. The network helps show where Rob Hall may publish in the future.
Co-authors
The 24 scholars most cited alongside Rob Hall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Secure multiple linear regression based on homomorphic encryption | 2011 | 76 |
| 2 | 2015 | 65 | |
| 3 | 2012 | 43 | |
| 4 | 2008 | 30 | |
| 5 | 2014 | 25 | |
| 6 | 2011 | 25 | |
| 7 | 2008 | 22 | |
| 8 | Valid Statistical Analysis for Logistic Regression with Multiple Sources | 2009 | 7 |
| 9 | New Statistical Applications for Differential Privacy | 2013 | 5 |
| 10 | 2015 | 2 |
About Rob Hall
Rob Hall is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Molecular Biology and Information Systems, having authored 10 papers that have together received 300 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (4 papers), Vehicular Ad Hoc Networks (VANETs) (2 papers), Cryptography and Data Security (2 papers), Recommender Systems and Techniques (2 papers), Data Quality and Management (2 papers), Single-cell and spatial transcriptomics (1 paper), Image and Video Quality Assessment (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Artificial Intelligence (168 citations), Management Science and Operations Research (63 citations), Statistics and Probability (41 citations), Computer Science Applications (13 citations) and Information Systems (40 citations). Rob Hall has collaborated with scholars based in United States and France. Frequent co-authors include Stephen E. Fienberg, Yuval Nardi, Rebecca C. Steorts, Larry Wasserman, Alessandro Rinaldo, Josh Attenberg, Diane Hu, Charles Sutton, Andrew McCallum and Christopher D. Coldren. Their work appears in journals such as Journal of Bacteriology, Journal of the American Statistical Association, Journal of Machine Learning Research, PLoS ONE and Journal of Official Statistics.
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.