Alexander Gnedin
- Artificial Intelligence top 2%
- Mathematical Physics top 1%
- Statistics and Probability top 1%
- Management Science and Operations Research top 2%
- Computer Networks and Communications top 10%
- Co-authors
- Jim PitmanAlexander IksanovGrigori OlshanskiJean BertoinS. V. KerovYuliy BaryshnikovMartin MöhleA. D. Barbour
- Topics
- Stochastic processes and statistical mechanics (35 papers)Bayesian Methods and Mixture Models (33 papers)Optimization and Search Problems (21 papers)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Alexander Gnedin
82 papers receiving 964 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 580
- Mathematical Physics 570
- Statistics and Probability 404
- Management Science and Operations Research 230
- Computer Networks and Communications 150
Countries citing papers authored by Alexander Gnedin
This map shows the geographic impact of Alexander Gnedin'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 Alexander Gnedin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Gnedin more than expected).
Fields of papers citing papers by Alexander Gnedin
This network shows the impact of papers produced by Alexander Gnedin. 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 Alexander Gnedin. The network helps show where Alexander Gnedin may publish in the future.
Co-authorship network of co-authors of Alexander Gnedin
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Gnedin. A scholar is included among the top collaborators of Alexander Gnedin 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 Alexander Gnedin. Alexander Gnedin 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 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 13 | |
| 14 | 19 | |
| 15 | 26 | |
| 16 | 2 | |
| 17 | Sequential selection of an increasing sequence | 1 |
| 18 | 6 | |
| 19 | 10 | |
| 20 | 8 |
About Alexander Gnedin
Alexander Gnedin is a scholar working on Mathematical Physics, Discrete Mathematics and Combinatorics and Statistics and Probability, having authored 85 papers that have together received 1.0k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (35 papers), Bayesian Methods and Mixture Models (33 papers) and Optimization and Search Problems (21 papers). The work is most often cited by research in Mathematical Physics (570 citations), Statistics and Probability (404 citations) and Discrete Mathematics and Combinatorics (91 citations). Alexander Gnedin has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Jim Pitman, Alexander Iksanov, Grigori Olshanski, Jean Bertoin, S. V. Kerov, Yuliy Baryshnikov, Martin Möhle, A. D. Barbour, Andrew B. Barbour and Leonid V. Bogachev. Their work appears in journals such as Information Sciences, The Annals of Probability and Probability Theory and Related Fields.
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.