Michael Mitzenmacher
- Artificial Intelligence top 1%
- Computer Networks and Communications top 2%
- Molecular Biology top 10%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Pardis C. SabetiDavid N. ReshefYakir ReshefHilary K. FinucaneEric S. LanderSharon R. GrossmanGil McVeanPeter J. Turnbaugh
- Topics
- DNA and Biological Computing (8 papers)Error Correcting Code Techniques (6 papers)Algorithms and Data Compression (5 papers)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Michael Mitzenmacher
31 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Artificial Intelligence 1.0k
- Computer Networks and Communications 761
- Molecular Biology 761
- Electrical and Electronic Engineering 535
- Computer Vision and Pattern Recognition 461
Countries citing papers authored by Michael Mitzenmacher
This map shows the geographic impact of Michael Mitzenmacher'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 Mitzenmacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Mitzenmacher more than expected).
Fields of papers citing papers by Michael Mitzenmacher
This network shows the impact of papers produced by Michael Mitzenmacher. 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 Mitzenmacher. The network helps show where Michael Mitzenmacher may publish in the future.
Co-authorship network of co-authors of Michael Mitzenmacher
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Mitzenmacher. A scholar is included among the top collaborators of Michael Mitzenmacher 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 Michael Mitzenmacher. Michael Mitzenmacher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 34 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | Detecting Novel Associations in Large Data Setsbreakdown → | 2316 |
| 6 | 12 | |
| 7 | 10 | |
| 8 | 96 | |
| 9 | 4 | |
| 10 | 37 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 29 | |
| 14 | 62 | |
| 15 | 141 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | Min-Wise Independent Permutationsbreakdown → | 537 |
| 20 | 227 |
About Michael Mitzenmacher
Michael Mitzenmacher is a scholar working on Computer Networks and Communications, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 31 papers that have together received 3.9k indexed citations. Recurring topics across this work include DNA and Biological Computing (8 papers), Error Correcting Code Techniques (6 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Signal Processing (368 citations), Computer Networks and Communications (761 citations) and Artificial Intelligence (1.0k citations). Michael Mitzenmacher has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Pardis C. Sabeti, David N. Reshef, Yakir Reshef, Hilary K. Finucane, Eric S. Lander, Sharon R. Grossman, Gil McVean, Peter J. Turnbaugh, Andrei Broder and Moses Charikar. Their work appears in journals such as Science, Nature Biotechnology 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.