Lajos Horváth
- Statistics and Probability top 0.02%
- Finance top 0.1%
- Economics and Econometrics top 0.5%
- Statistics, Probability and Uncertainty top 0.1%
- General Economics, Econometrics and Finance top 0.5%
- Co-authors
- Piotr KokoszkaMiklós CsörgőI. BerkésAlexander AueSándor CsörgőMarie HuškováEdit GombayGregory Rice
- Topics
- Statistical Methods and Inference (109 papers)Financial Risk and Volatility Modeling (105 papers)Stochastic processes and financial applications (61 papers)
- Partner nations
- United StatesCanadaHungary
In The Last Decade
Lajos Horváth
240 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Statistics and Probability 4.3k
- Finance 3.4k
- Economics and Econometrics 2.0k
- Statistics, Probability and Uncertainty 1.1k
- General Economics, Econometrics and Finance 1.1k
Countries citing papers authored by Lajos Horváth
This map shows the geographic impact of Lajos Horváth'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 Lajos Horváth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lajos Horváth more than expected).
Fields of papers citing papers by Lajos Horváth
This network shows the impact of papers produced by Lajos Horváth. 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 Lajos Horváth. The network helps show where Lajos Horváth may publish in the future.
Co-authorship network of co-authors of Lajos Horváth
This figure shows the co-authorship network connecting the top 25 collaborators of Lajos Horváth. A scholar is included among the top collaborators of Lajos Horváth 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 Lajos Horváth. Lajos Horváth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 27 | |
| 8 | A sequential procedure to detect changes in the beta for the functional CAPM model | 1 |
| 9 | 42 | |
| 10 | 51 | |
| 11 | Limit theorems in change-point analysisbreakdown → | 728 |
| 12 | 13 | |
| 13 | Testing for Changes in Multinomial Observations: the Lindisfarne Scribes Problem | 9 |
| 14 | 53 | |
| 15 | 19 | |
| 16 | 3 | |
| 17 | On the distributions of $L_p$ norms of weighted quantile processes | 3 |
| 18 | 15 | |
| 19 | 86 | |
| 20 | On random censorship : a collection of fifteen papers | 3 |
About Lajos Horváth
Lajos Horváth is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 250 papers that have together received 7.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (109 papers), Financial Risk and Volatility Modeling (105 papers) and Stochastic processes and financial applications (61 papers). The work is most often cited by research in Statistics and Probability (4.3k citations), Finance (3.4k citations) and Statistics, Probability and Uncertainty (1.1k citations). Lajos Horváth has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Piotr Kokoszka, Miklós Csörgő, I. Berkés, Alexander Aue, Sándor Csörgő, Marie Hušková, Edit Gombay, Gregory Rice, Josef Steinebach and Mark A. Lewis. Their work appears in journals such as Journal of the American Statistical Association, Econometrica and The American Naturalist.
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.