Gisirô Maruyama

972 total citations · 1 hit paper
10 papers, 506 citations indexed

About

Gisirô Maruyama is a scholar working on Mathematical Physics, Finance and Applied Mathematics. According to data from OpenAlex, Gisirô Maruyama has authored 10 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Mathematical Physics, 3 papers in Finance and 3 papers in Applied Mathematics. Recurrent topics in Gisirô Maruyama's work include Stochastic processes and financial applications (3 papers), Mathematical Analysis and Transform Methods (2 papers) and Spectral Theory in Mathematical Physics (1 paper). Gisirô Maruyama is often cited by papers focused on Stochastic processes and financial applications (3 papers), Mathematical Analysis and Transform Methods (2 papers) and Spectral Theory in Mathematical Physics (1 paper). Gisirô Maruyama collaborates with scholars based in Ghana and Japan. Gisirô Maruyama's co-authors include Hiroshi Tanaka and Hiroshi Tanaka and has published in prestigious journals such as Journal of the Mathematical Society of Japan, Theory of Probability and Its Applications and Proceedings of the Japan Academy Series A Mathematical Sciences.

In The Last Decade

Gisirô Maruyama

10 papers receiving 418 citations

Hit Papers

Continuous Markov processes and stochastic equations 1955 2026 1978 2002 1955 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Continuous Markov processes and stochastic equations
    1955 350 citations Gisirô Maruyama Rendiconti del Circolo Matematico di Palermo Series 2 profile →

Peers

Gisirô Maruyama
J. G. Gaines United Kingdom
Igor Vladimirovich Girsanov
U. G. Haussmann Canada
David Elworthy United Kingdom
Arun Verma United States
G.N. Mil'shtein Russia
A. V. Skorohod United Kingdom
Volker Wihstutz United States
Jürgen Potthoff Germany
Tom Lindstrøm Norway
J. G. Gaines United Kingdom
Gisirô Maruyama
Citations per year, relative to Gisirô Maruyama Gisirô Maruyama (= 1×) peers J. G. Gaines

Countries citing papers authored by Gisirô Maruyama

Since Specialization
Citations

This map shows the geographic impact of Gisirô Maruyama'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 Gisirô Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gisirô Maruyama more than expected).

Fields of papers citing papers by Gisirô Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gisirô Maruyama. 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 Gisirô Maruyama. The network helps show where Gisirô Maruyama may publish in the future.

Co-authorship network of co-authors of Gisirô Maruyama

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

All Works

10 of 10 papers shown
1.
Maruyama, Gisirô. (1986). Wiener functionals and probability limit theorems, II: Term-wise multiplication and its applications. Hokkaido Mathematical Journal. 15(3). 1 indexed citations
2.
Maruyama, Gisirô. (1985). Wiener functionals and probability limit theorems. I. The central limit theorems. Osaka Journal of Mathematics. 22(4). 697–732. 5 indexed citations
3.
Maruyama, Gisirô. (1982). Applications of the multiplication of the Ito-Wiener expansiors to limit theorems. Proceedings of the Japan Academy Series A Mathematical Sciences. 58(9). 1 indexed citations
4.
Maruyama, Gisirô. (1970). Infinitely Divisible Processes. Theory of Probability and Its Applications. 15(1). 1–22. 71 indexed citations
5.
Maruyama, Gisirô. (1967). A singular flow with countable Lebesgue spectrum. Journal of the Mathematical Society of Japan. 19(3). 3 indexed citations
6.
Maruyama, Gisirô. (1966). Transformations of flows. Journal of the Mathematical Society of Japan. 18(3). 14 indexed citations
7.
Maruyama, Gisirô & Hiroshi Tanaka. (1959). ERGODIC PRORERTY OF N-DIMENSIONAL RECURRENT MARKOV PROCESSES. Memoirs of the Faculty of Science Kyushu University Series A Mathematics. 13(2). 157–172. 32 indexed citations
8.
Maruyama, Gisirô. (1959). ON THE STRONG MARKOV PROPERTY. Memoirs of the Faculty of Science Kyushu University Series A Mathematics. 13(1). 17–29. 6 indexed citations
9.
Maruyama, Gisirô & Hiroshi Tanaka. (1957). SOME PROPERTIES OF ONE-DIMENSIONAL DIFFUSION PROCESSES. Memoirs of the Faculty of Science Kyushu University Series A Mathematics. 11(2). 117–141. 23 indexed citations
10.
Maruyama, Gisirô. (1955). Continuous Markov processes and stochastic equations. Rendiconti del Circolo Matematico di Palermo Series 2. 4(1). 48–90. 350 indexed citations breakdown →

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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2026