E. Seneta

14.6k total citations · 3 hit papers
291 papers, 9.3k citations indexed

About

E. Seneta is a scholar working on Statistics and Probability, Mathematical Physics and Finance. According to data from OpenAlex, E. Seneta has authored 291 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Statistics and Probability, 82 papers in Mathematical Physics and 46 papers in Finance. Recurrent topics in E. Seneta's work include Stochastic processes and statistical mechanics (65 papers), Financial Risk and Volatility Modeling (33 papers) and Markov Chains and Monte Carlo Methods (29 papers). E. Seneta is often cited by papers focused on Stochastic processes and statistical mechanics (65 papers), Financial Risk and Volatility Modeling (33 papers) and Markov Chains and Monte Carlo Methods (29 papers). E. Seneta collaborates with scholars based in Australia, United States and United Kingdom. E. Seneta's co-authors include Dilip B. Madan, J. N. Darroch, Valerie Isham, D. Vere‐Jones, J. C. Gower, C. C. Heyde, Samprit Chatterjee, R. Bojanić, Richard Finlay and I. M. Chakravarti and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

E. Seneta

270 papers receiving 8.2k citations

Hit Papers

Non-negative Matrices and Markov Chains 1976 2026 1992 2009 1981 1976 1990 500 1000 1.5k

Peers

E. Seneta
Comparison fields: 5 of 174
  • Mathematical Physics 2.7k
  • Statistics and Probability 2.3k
  • Finance 2.1k
  • Management Science and Operations Research 1.4k
  • Artificial Intelligence 1.3k
Replace Thomas G. Kurtz with:
Thomas G. Kurtz United States
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Ofer Zeitouni Israel
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J. L. Doob United States
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C. C. Heyde Australia
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Thomas G. Kurtz United States View profile →
Citations per field, relative to E. Seneta
E. Seneta · 1×
Citations per year, relative to E. Seneta
E. Seneta · 1×

Countries citing papers authored by E. Seneta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of E. Seneta

This figure shows the co-authorship network connecting the top 25 collaborators of E. Seneta. A scholar is included among the top collaborators of E. Seneta 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 E. Seneta. E. Seneta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 2
4 5
5 2
6 28
7 13
8 1
9 6
10
Karamata's Iteration Theorem And Normed Regularly Varying Sequences In A Historical Light
4
11 11
12 1
13 11
14 1
15 2
16
Regularly Varying Functions breakdown →
1033
17 27
18
An Interpretation Of Some Aspects Of Karamata's Theory Of Regular Variation
10
19
The principle of truncations in applied probability
3
20 39

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.

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