E. Seneta
Impact in
- Mathematical Physics top 0.1%
- Stochastic processes and statistical mechanics
- Statistics and Probability top 0.1%
- Markov Chains and Monte Carlo Methods
Papers in
-
- Markov Chains and Monte Carlo Methods 30
- Statistical Distribution Estimation and Applications 24
- Random Matrices and Applications 20
-
- Stochastic processes and statistical mechanics 68
- Co-authors
- Dilip B. Madan (6 shared papers)J. N. Darroch (4 shared papers)Valerie Isham (1 shared paper)D. Vere‐Jones (5 shared papers)C. C. Heyde (13 shared papers)J. C. Gower (1 shared paper)Samprit Chatterjee (2 shared papers)R. Bojanić (3 shared papers)
- Journals
- Journal of Applied Probability (57 papers)Advances in Applied Probability (23 papers)International Statistical Review (21 papers)Linear Algebra and its Applications (8 papers)Historia Mathematica (5 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
E. Seneta
298 papers receiving 9.1k citations
E. Seneta's Hit Papers
Peers
Comparison fields: 5 of 178
- Mathematical Physics 3.0k
- Statistics and Probability 2.6k
- Finance 2.3k
- Management Science and Operations Research 1.5k
- Applied Mathematics 897
Countries citing papers authored by E. Seneta
This map shows the geographic impact of E. Seneta'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 E. Seneta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Seneta more than expected).
Fields of papers citing papers by E. Seneta
This network shows the impact of papers produced by E. Seneta. 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 E. Seneta. The network helps show where E. Seneta may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Seneta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 320 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Non-negative Matrices and Markov Chains Hit paper breakdown → | 1981 | 2084 |
| 2 | Regularly Varying Functions Hit paper breakdown → | 1976 | 1110 |
| 3 | The Variance Gamma (V.G.) Model for Share Market Returns Hit paper breakdown → | 1990 | 1058 |
| 4 | 1983 | 364 | |
| 5 | 1975 | 298 | |
| 6 | 1965 | 244 | |
| 7 | 1977 | 238 | |
| 8 | 1967 | 172 | |
| 9 | 1966 | 153 | |
| 10 | 1975 | 131 | |
| 11 | 1973 | 124 | |
| 12 | 1966 | 119 | |
| 13 | Non-negative Matrices and Markov Chains (Springer Series in Statistics) | 1981 | 119 |
| 14 | 1969 | 115 | |
| 15 | 1973 | 109 | |
| 16 | 2004 | 93 | |
| 17 | Discrete Markov chains | 1970 | 81 |
| 18 | 1968 | 80 | |
| 19 | 1971 | 79 | |
| 20 | 1972 | 65 |
About E. Seneta
E. Seneta is a scholar working on Statistics and Probability, Mathematical Physics, Finance, Artificial Intelligence and Management Science and Operations Research, having authored 320 papers that have together received 10.3k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (68 papers), Financial Risk and Volatility Modeling (34 papers), Stochastic processes and financial applications (31 papers), Markov Chains and Monte Carlo Methods (30 papers), Bayesian Methods and Mixture Models (29 papers), Statistical Distribution Estimation and Applications (24 papers), Random Matrices and Applications (20 papers) and Probability and Risk Models (19 papers). The work is most often cited by research in Mathematical Physics (3.0k citations), Statistics and Probability (2.6k citations), Finance (2.3k citations), Management Science and Operations Research (1.5k citations) and Applied Mathematics (897 citations). E. Seneta has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Dilip B. Madan, J. N. Darroch, Valerie Isham, D. Vere‐Jones, C. C. Heyde, J. C. Gower, Samprit Chatterjee, R. Bojanić, I. M. Chakravarti and Richard Finlay. Their work appears in journals such as Journal of Applied Probability, Advances in Applied Probability, International Statistical Review, Linear Algebra and its Applications and Historia Mathematica.
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.