Dror Weitz
Impact in
- Statistics and Probability top 1%
- Markov Chains and Monte Carlo Methods
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
Papers in
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- Markov Chains and Monte Carlo Methods 8
-
- Stochastic processes and statistical mechanics 7
- Co-authors
- Alistair Sinclair (5 shared papers)Fabio Martinelli (3 shared papers)Ziv Bar-Yossef (1 shared paper)Alexander Berg (1 shared paper)Jittat Fakcharoenphol (1 shared paper)Steve Chien (1 shared paper)Elchanan Mossel (1 shared paper)Nicholas Wormald (1 shared paper)
- Journals
- Random Structures and Algorithms (3 papers)Probability Theory and Related Fields (1 paper)Symposium on Discrete Algorithms (1 paper)Very Large Data Bases (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Dror Weitz
9 papers receiving 394 citations
Peers
Comparison fields: 5 of 41
- Statistics and Probability 280
- Mathematical Physics 207
- Discrete Mathematics and Combinatorics 33
- Condensed Matter Physics 109
- Computational Theory and Mathematics 93
Countries citing papers authored by Dror Weitz
This map shows the geographic impact of Dror Weitz'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 Dror Weitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dror Weitz more than expected).
Fields of papers citing papers by Dror Weitz
This network shows the impact of papers produced by Dror Weitz. 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 Dror Weitz. The network helps show where Dror Weitz may publish in the future.
Co-authors
The 10 scholars most cited alongside Dror Weitz, 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 | 2006 | 164 | |
| 2 | Approximating Aggregate Queries about Web Pages via Random Walks | 2000 | 77 |
| 3 | 2006 | 54 | |
| 4 | 2008 | 38 | |
| 5 | 2004 | 34 | |
| 6 | 2005 | 25 | |
| 7 | Mixing in time and space for discrete spin systems | 2004 | 17 |
| 8 | 2004 | 16 | |
| 9 | 2004 | 11 |
About Dror Weitz
Dror Weitz is a scholar working on Statistics and Probability, Mathematical Physics, Condensed Matter Physics, Computational Theory and Mathematics and Computer Networks and Communications, having authored 9 papers that have together received 436 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (8 papers), Stochastic processes and statistical mechanics (7 papers), Theoretical and Computational Physics (5 papers), Complex Network Analysis Techniques (1 paper), Topological and Geometric Data Analysis (1 paper), Caching and Content Delivery (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Statistics and Probability (280 citations), Mathematical Physics (207 citations), Discrete Mathematics and Combinatorics (33 citations), Condensed Matter Physics (109 citations) and Computational Theory and Mathematics (93 citations). Dror Weitz has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Alistair Sinclair, Fabio Martinelli, Ziv Bar-Yossef, Alexander Berg, Jittat Fakcharoenphol, Steve Chien, Elchanan Mossel, Nicholas Wormald, Eric Vigoda and Martin Dyer. Their work appears in journals such as Random Structures and Algorithms, Probability Theory and Related Fields, Symposium on Discrete Algorithms and Very Large Data Bases.
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.