László Viharos
Impact in
- Finance top 10%
- Financial Risk and Volatility Modeling
- Statistics and Probability top 5%
- Statistical Distribution Estimation and Applications
- Statistical Methods and Inference
Papers in
-
- Statistical Distribution Estimation and Applications 5
- Statistical Methods and Inference 3
- Finance 6
- Financial Risk and Volatility Modeling 6
- Co-authors
- Sándor Csörgő (6 shared papers)Márta Gálfi (1 shared paper)Béla Hegedüs (1 shared paper)Brian F. OʼReilly (1 shared paper)József Jóri (1 shared paper)László Rovó (1 shared paper)
- Journals
- Journal of Computational and Applied Mathematics (1 paper)Bernoulli (1 paper)Mathematical Proceedings of the Cambridge Philosophical Society (1 paper)Journal of Statistical Planning and Inference (1 paper)Clinical Otolaryngology (1 paper)
- Partner nations
- HungaryUnited StatesUnited Kingdom
In The Last Decade
László Viharos
10 papers receiving 263 citations
Peers
Comparison fields: 5 of 60
- Finance 81
- Statistics and Probability 59
- Radiology, Nuclear Medicine and Imaging 119
- Complementary and Manual Therapy 5
- General Economics, Econometrics and Finance 18
Countries citing papers authored by László Viharos
This map shows the geographic impact of László Viharos'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 László Viharos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Viharos more than expected).
Fields of papers citing papers by László Viharos
This network shows the impact of papers produced by László Viharos. 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 László Viharos. The network helps show where László Viharos may publish in the future.
Co-authors
The 6 scholars most cited alongside László Viharos, 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 | 2009 | 163 | |
| 2 | 1998 | 50 | |
| 3 | 1997 | 30 | |
| 4 | 2011 | 12 | |
| 5 | 1992 | 10 | |
| 6 | 1995 | 9 | |
| 7 | 1997 | 3 | |
| 8 | 2005 | 2 | |
| 9 | 1996 | 1 | |
| 10 | Asymptotic distributions for vectors of power sums | 1989 | 1 |
About László Viharos
László Viharos is a scholar working on Statistics and Probability, Finance, Management Science and Operations Research, Global and Planetary Change and Algebra and Number Theory, having authored 10 papers that have together received 281 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (6 papers), Statistical Distribution Estimation and Applications (5 papers), Statistical Methods and Inference (3 papers), Probability and Risk Models (2 papers), Hydrology and Drought Analysis (2 papers), Probabilistic and Robust Engineering Design (1 paper), Bayesian Methods and Mixture Models (1 paper) and Analytic Number Theory Research (1 paper). The work is most often cited by research in Finance (81 citations), Statistics and Probability (59 citations), Radiology, Nuclear Medicine and Imaging (119 citations), Complementary and Manual Therapy (5 citations) and General Economics, Econometrics and Finance (18 citations). László Viharos has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include Sándor Csörgő, Márta Gálfi, Béla Hegedüs, Brian F. OʼReilly, József Jóri and László Rovó. Their work appears in journals such as Journal of Computational and Applied Mathematics, Bernoulli, Mathematical Proceedings of the Cambridge Philosophical Society, Journal of Statistical Planning and Inference and Clinical Otolaryngology.
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.