Joseph K. Blitzstein
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Statistics and Probability top 5%
- Computer Networks and Communications
- Mathematical Physics
- Co-authors
- Persi DiaconisJessica HwangPeng DingVictor De GruttolaSergiy NesterkoJun S. LiuXiao‐Li Meng
- Topics
- Complex Network Analysis Techniques (4 papers)Statistics Education and Methodologies (2 papers)Bayesian Methods and Mixture Models (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe American StatisticianJournal of Statistical Computation and Simulation
- Partner nations
- United StatesNetherlands
In The Last Decade
Joseph K. Blitzstein
12 papers receiving 260 citations
Peers
Comparison fields: 5 of 99
- Statistical and Nonlinear Physics 85
- Artificial Intelligence 62
- Statistics and Probability 56
- Computer Networks and Communications 28
- Mathematical Physics 28
Countries citing papers authored by Joseph K. Blitzstein
This map shows the geographic impact of Joseph K. Blitzstein'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 Joseph K. Blitzstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph K. Blitzstein more than expected).
Fields of papers citing papers by Joseph K. Blitzstein
This network shows the impact of papers produced by Joseph K. Blitzstein. 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 Joseph K. Blitzstein. The network helps show where Joseph K. Blitzstein may publish in the future.
Co-authorship network of co-authors of Joseph K. Blitzstein
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph K. Blitzstein. A scholar is included among the top collaborators of Joseph K. Blitzstein 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 Joseph K. Blitzstein. Joseph K. Blitzstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Introduction to Probability, Second Edition | 6 |
| 3 | 53 | |
| 4 | 12 | |
| 5 | 13 | |
| 6 | 48 | |
| 7 | 4 | |
| 8 | Simulating Bipartite Networks to Reflect Uncertainty in Local Network Properties | 1 |
| 9 | 127 | |
| 10 | 1 | |
| 11 | Monte Carlo Maximum Likelihood for Exponential Random Graph Models: From Snowballs to Umbrella Densities | 7 |
| 12 | Building random objects sequentially: from characterization to algorithm | 1 |
About Joseph K. Blitzstein
Joseph K. Blitzstein is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics and Mathematical Physics, having authored 12 papers that have together received 274 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Statistics Education and Methodologies (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (85 citations), Statistics and Probability (56 citations) and Mathematical Physics (28 citations). Joseph K. Blitzstein has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Persi Diaconis, Jessica Hwang, Peng Ding, Victor De Gruttola, Sergiy Nesterko, Jun S. Liu and Xiao‐Li Meng. Their work appears in journals such as SHILAP Revista de lepidopterología, The American Statistician and Journal of Statistical Computation and Simulation.
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.