Andrew McGregor
Impact in
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- Advanced Database Systems and Queries
- Optimization and Search Problems
- Signal Processing top 1%
- Data Management and Algorithms
Papers in
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- Advanced Database Systems and Queries 20
- Optimization and Search Problems 9
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- Machine Learning and Algorithms 21
- Data Stream Mining Techniques 15
- Cryptography and Data Security 10
- Privacy-Preserving Technologies in Data 8
- Co-authors
- Sudipto GuhaGraham CormodeKook Jin AhnSampath KannanSiddharth SuriJoan FeigenbaumVibhor RastogiChao Li
- Journals
- Algorithmica (3 papers)SIAM Journal on Computing (3 papers)ACM Transactions on Algorithms (3 papers)Proceedings of the VLDB Endowment (3 papers)IEEE Transactions on Information Theory (2 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Andrew McGregor
78 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 95
- Computer Networks and Communications 1.0k
- Signal Processing 471
- Artificial Intelligence 1.3k
- Computational Theory and Mathematics 593
- Computer Science Applications 184
Countries citing papers authored by Andrew McGregor
This map shows the geographic impact of Andrew McGregor'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 Andrew McGregor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew McGregor more than expected).
Fields of papers citing papers by Andrew McGregor
This network shows the impact of papers produced by Andrew McGregor. 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 Andrew McGregor. The network helps show where Andrew McGregor may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew McGregor, 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 | 2021 | 0 | |
| 2 | Sample Complexity of Learning Mixture of Sparse Linear Regressions | 2019 | 2 |
| 3 | 2019 | 9 | |
| 4 | Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces | 2016 | 6 |
| 5 | 2016 | 0 | |
| 6 | On Interactivity in Arthur-Merlin Communication and Stream Computation. | 2013 | 2 |
| 7 | 2012 | 69 | |
| 8 | 2012 | 2 | |
| 9 | Annotations in Data Streams. | 2012 | 2 |
| 10 | 2012 | 42 | |
| 11 | The Limits of Two-Party Differential Privacy. | 2011 | 18 |
| 12 | 2011 | 29 | |
| 13 | Space-Efficient Estimation of Robust Statistics and Distribution Testing | 2010 | 7 |
| 14 | 2008 | 1 | |
| 15 | Space-Efficient Sampling | 2007 | 22 |
| 16 | 2007 | 62 | |
| 17 | 2007 | 2 | |
| 18 | 2006 | 28 | |
| 19 | 2005 | 65 | |
| 20 | 2005 | 178 |
About Andrew McGregor
Andrew McGregor is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computational Theory and Mathematics, Signal Processing and Computer Science Applications, having authored 82 papers that have together received 2.3k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (21 papers), Complexity and Algorithms in Graphs (20 papers), Advanced Database Systems and Queries (20 papers), Data Stream Mining Techniques (15 papers), Data Management and Algorithms (13 papers), Cryptography and Data Security (10 papers), Optimization and Search Problems (9 papers) and Privacy-Preserving Technologies in Data (8 papers). The work is most often cited by research in Computer Networks and Communications (1.0k citations), Signal Processing (471 citations), Artificial Intelligence (1.3k citations), Computational Theory and Mathematics (593 citations) and Computer Science Applications (184 citations). Andrew McGregor has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Sudipto Guha, Graham Cormode, Kook Jin Ahn, Sampath Kannan, Siddharth Suri, Joan Feigenbaum, Vibhor Rastogi, Chao Li, Michael Hay and Gerome Miklau. Their work appears in journals such as Algorithmica, SIAM Journal on Computing, ACM Transactions on Algorithms, Proceedings of the VLDB Endowment and IEEE Transactions on Information Theory.
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.