Michael Hamburg
Impact in
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Cryptography and Data Security 2
- Internet Traffic Analysis and Secure E-voting 2
- Privacy-Preserving Technologies in Data 1
- Cryptographic Implementations and Security 1
- Security and Verification in Computing 1
- Co-authors
- Dan Boneh (4 shared papers)Arvind Narayanan (1 shared paper)Craig Gentry (1 shared paper)Emily Stark (1 shared paper)David Mazières (1 shared paper)Mark Handley (1 shared paper)Andrea Bittau (1 shared paper)
- Journals
- Network and Distributed System Security Symposium (1 paper)UCL Discovery (University College London) (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Hamburg
5 papers receiving 323 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 248
- Computer Science Applications 33
- Computer Networks and Communications 98
- Information Systems 84
- Computational Theory and Mathematics 59
Countries citing papers authored by Michael Hamburg
This map shows the geographic impact of Michael Hamburg'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 Michael Hamburg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hamburg more than expected).
Fields of papers citing papers by Michael Hamburg
This network shows the impact of papers produced by Michael Hamburg. 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 Michael Hamburg. The network helps show where Michael Hamburg may publish in the future.
Co-authors
The 7 scholars most cited alongside Michael Hamburg, 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 | Location Privacy via Private Proximity Testing. | 2011 | 201 |
| 2 | 2007 | 58 | |
| 3 | The case for ubiquitous transport-level encryption | 2010 | 49 |
| 4 | 2009 | 39 | |
| 5 | Astronomy Made Simple | 1976 | 1 |
About Michael Hamburg
Michael Hamburg is a scholar working on Artificial Intelligence, Computer Networks and Communications, Astronomy and Astrophysics, Information Systems and Signal Processing, having authored 5 papers that have together received 348 indexed citations. Recurring topics across this work include Cryptography and Data Security (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Privacy-Preserving Technologies in Data (1 paper), Cryptography and Residue Arithmetic (1 paper), Complexity and Algorithms in Graphs (1 paper), Cryptographic Implementations and Security (1 paper), History and Developments in Astronomy (1 paper) and Security and Verification in Computing (1 paper). The work is most often cited by research in Artificial Intelligence (248 citations), Computer Science Applications (33 citations), Computer Networks and Communications (98 citations), Information Systems (84 citations) and Computational Theory and Mathematics (59 citations). Michael Hamburg has collaborated with scholars based in United States. Frequent co-authors include Dan Boneh, Arvind Narayanan, Craig Gentry, Emily Stark, David Mazières, Mark Handley and Andrea Bittau. Their work appears in journals such as Network and Distributed System Security Symposium and UCL Discovery (University College London).
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.