Sándor Csörgő
- Statistics and Probability top 0.2%
- Finance top 0.5%
- Management Science and Operations Research top 1%
- Artificial Intelligence top 2%
- Mathematical Physics top 5%
- Co-authors
- Lajos HorváthJan MielniczukMiklós CsörgőDavid M. MasonPaul DeheuvelsJulian J. FarawayMurray D. BurkeErich Haeusler
- Topics
- Statistical Methods and Inference (32 papers)Financial Risk and Volatility Modeling (28 papers)Probability and Risk Models (25 papers)
- Journals
- BiometrikaOperations ResearchJournal of the Royal Statistical Society Series B (Statistical Methodology)
- Partner nations
- HungaryUnited StatesCanada
In The Last Decade
Sándor Csörgő
94 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 95
- Statistics and Probability 1.5k
- Finance 985
- Management Science and Operations Research 490
- Artificial Intelligence 487
- Mathematical Physics 295
Countries citing papers authored by Sándor Csörgő
This map shows the geographic impact of Sándor Csörgő'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 Sándor Csörgő with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sándor Csörgő more than expected).
Fields of papers citing papers by Sándor Csörgő
This network shows the impact of papers produced by Sándor Csörgő. 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 Sándor Csörgő. The network helps show where Sándor Csörgő may publish in the future.
Co-authorship network of co-authors of Sándor Csörgő
This figure shows the co-authorship network connecting the top 25 collaborators of Sándor Csörgő. A scholar is included among the top collaborators of Sándor Csörgő 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 Sándor Csörgő. Sándor Csörgő is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 22 | |
| 12 | 23 | |
| 13 | 13 | |
| 14 | 52 | |
| 15 | 86 | |
| 16 | 9 | |
| 17 | On random censorship : a collection of fifteen papers | 3 |
| 18 | Empirical characteristic functions | 13 |
| 19 | 23 | |
| 20 | 5 |
About Sándor Csörgő
Sándor Csörgő is a scholar working on Statistics and Probability, Finance and Mathematical Physics, having authored 97 papers that have together received 2.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (32 papers), Financial Risk and Volatility Modeling (28 papers) and Probability and Risk Models (25 papers). The work is most often cited by research in Statistics and Probability (1.5k citations), Finance (985 citations) and Management Science and Operations Research (490 citations). Sándor Csörgő has collaborated with scholars based in Hungary, United States and Canada. Frequent co-authors include Lajos Horváth, Jan Mielniczuk, Miklós Csörgő, David M. Mason, Paul Deheuvels, David M. Mason, Julian J. Faraway, Murray D. Burke, Erich Haeusler and C. R. Heathcote. Their work appears in journals such as Biometrika, Operations Research and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.