Daniel Kifer
Impact in
- Artificial Intelligence top 0.05%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
- Computer Science Applications top 0.2%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Privacy-Preserving Technologies in Data 47
- Cryptography and Data Security 26
- Stochastic Gradient Optimization Techniques 9
- Seismology and Earthquake Studies 6
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- Privacy, Security, and Data Protection 17
- Co-authors
- Ashwin Machanavajjhala (14 shared papers)Johannes Gehrke (12 shared papers)Muthuramakrishnan Venkitasubramaniam (2 shared papers)C. Lee Giles (19 shared papers)Hongjian Wang (5 shared papers)Jian Pei (2 shared papers)Prasenjit Mitra (2 shared papers)Qi He (2 shared papers)
- Journals
- Proceedings of the VLDB Endowment (6 papers)NDT & E International (2 papers)Nature Communications (2 papers)ACM Transactions on Knowledge Discovery from Data (2 papers)Communications of the ACM (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Daniel Kifer
99 papers receiving 7.2k citations
Daniel Kifer's Hit Papers
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 6.1k
- Computer Science Applications 993
- Sociology and Political Science 2.7k
- Transportation 421
- Management Science and Operations Research 576
Countries citing papers authored by Daniel Kifer
This map shows the geographic impact of Daniel Kifer'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 Daniel Kifer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kifer more than expected).
Fields of papers citing papers by Daniel Kifer
This network shows the impact of papers produced by Daniel Kifer. 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 Daniel Kifer. The network helps show where Daniel Kifer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Kifer, 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | L -diversity Hit paper breakdown → | 2007 | 2184 |
| 2 | L-diversity: privacy beyond k-anonymity Hit paper breakdown → | 2006 | 1496 |
| 3 | No free lunch in data privacy Hit paper breakdown → | 2011 | 362 |
| 4 | 2008 | 290 | |
| 5 | 2010 | 257 | |
| 6 | 2018 | 194 | |
| 7 | 2006 | 188 | |
| 8 | 2014 | 152 | |
| 9 | 2007 | 152 | |
| 10 | 2016 | 132 | |
| 11 | 2017 | 122 | |
| 12 | 2017 | 117 | |
| 13 | 2009 | 102 | |
| 14 | 2009 | 101 | |
| 15 | 2022 | 92 | |
| 16 | 2019 | 92 | |
| 17 | 2012 | 89 | |
| 18 | 2009 | 88 | |
| 19 | 2018 | 83 | |
| 20 | 2011 | 83 |
About Daniel Kifer
Daniel Kifer is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 102 papers that have together received 7.7k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (47 papers), Cryptography and Data Security (26 papers), Privacy, Security, and Data Protection (17 papers), Handwritten Text Recognition Techniques (9 papers), Stochastic Gradient Optimization Techniques (9 papers), Data Management and Algorithms (6 papers), Landslides and related hazards (6 papers) and Seismology and Earthquake Studies (6 papers). The work is most often cited by research in Artificial Intelligence (6.1k citations), Computer Science Applications (993 citations), Sociology and Political Science (2.7k citations), Transportation (421 citations) and Management Science and Operations Research (576 citations). Daniel Kifer has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Ashwin Machanavajjhala, Johannes Gehrke, Muthuramakrishnan Venkitasubramaniam, C. Lee Giles, Hongjian Wang, Jian Pei, Prasenjit Mitra, Qi He, John M. Abowd and Lars Vilhuber. Their work appears in journals such as Proceedings of the VLDB Endowment, NDT & E International, Nature Communications, ACM Transactions on Knowledge Discovery from Data and Communications of the ACM.
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.