F. W. Steutel

2.3k total citations · 2 hit papers
54 papers, 1.6k citations indexed

About

F. W. Steutel is a scholar working on Statistics and Probability, Mathematical Physics and Artificial Intelligence. According to data from OpenAlex, F. W. Steutel has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Statistics and Probability, 22 papers in Mathematical Physics and 11 papers in Artificial Intelligence. Recurrent topics in F. W. Steutel's work include Stochastic processes and statistical mechanics (14 papers), Statistical Distribution Estimation and Applications (11 papers) and Probability and Risk Models (9 papers). F. W. Steutel is often cited by papers focused on Stochastic processes and statistical mechanics (14 papers), Statistical Distribution Estimation and Applications (11 papers) and Probability and Risk Models (9 papers). F. W. Steutel collaborates with scholars based in Netherlands, United States and Australia. F. W. Steutel's co-authors include K. van Harn, Julian Keilson, Anthony G. Pakes, Wim Vervaat, S. Kotz, Jean Bertoin, Lennart Bondesson, Roger A. Horn, Ken‐iti Sato and J. Th. Runnenburg and has published in prestigious journals such as Biometrics, Journal of Mathematical Analysis and Applications and SIAM Review.

In The Last Decade

F. W. Steutel

52 papers receiving 1.5k citations

Hit Papers

align trajectories

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.

Discrete Analogues of Self-Decomposability and Stability

1979 618 citations F. W. Steutel, K. van Harn The Annals of Probability profile →
Infinite Divisibility of Probability Distributions on the Real Line

2003 301 citations F. W. Steutel, K. van Harn profile →

Peers

F. W. Steutel

SP

FINAN

MSOR

AI

MP

Paul Deheuvels France

R. R. Bahadur

Galen R. Shorack United States

Kumar Joag‐Dev United States

Péter Major Hungary

V. V. Petrov Russia

J. R. Blum United States

David W. Walkup United States

Yu. A. Rozanov Russia

K. van Harn Netherlands

Paul Deheuvels France

F. W. Steutel

1.1k ×1.1

SP

995 ×1.6

FINAN

432 ×1.0

MSOR

482 ×1.2

AI

356 ×1.0

MP

Citations per year, relative to F. W. Steutel F. W. Steutel (= 1×) peers Paul Deheuvels

Countries citing papers authored by F. W. Steutel

Since Specialization

Citations

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

Fields of papers citing papers by F. W. Steutel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. W. Steutel. 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 F. W. Steutel. The network helps show where F. W. Steutel may publish in the future.

Co-authorship network of co-authors of F. W. Steutel

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Bondesson, Lennart & F. W. Steutel. (2004). A class of infinitely divisible distributions connected to branching processes and random walks. Journal of Mathematical Analysis and Applications. 295(1). 134–143. 3 indexed citations

2.

Sato, Ken‐iti & F. W. Steutel. (1998). Note On The Continuation Of Infinitely Divisible Distributions And Canonical Measures. Statistics. 31(4). 347–357. 3 indexed citations

3.

Pakes, Anthony G. & F. W. Steutel. (1995). On the number of records near the maximum. UWA Profiles and Research Repository (University of Western Australia). 1 indexed citations

4.

Steutel, F. W., et al.. (1993). Stability equations for processes with stationary independent increments using branching processes and Poisson mixtures. Stochastic Processes and their Applications. 45(2). 209–230. 19 indexed citations

5.

Steutel, F. W.. (1991). Counterexamples to Robertson's conjecture. Journal of Mathematical Analysis and Applications. 158(2). 578–582.

6.

Steutel, F. W., et al.. (1988). On moment sequences and infinitely divisible sequences. Journal of Mathematical Analysis and Applications. 136(1). 304–313. 10 indexed citations

7.

Kotz, S. & F. W. Steutel. (1988). Note on a characterization of exponential distributions. Statistics & Probability Letters. 6(3). 201–203. 27 indexed citations

8.

Steutel, F. W., et al.. (1984). Limit theorems for Markov chains of finite rank. Linear Algebra and its Applications. 60. 65–77. 4 indexed citations

9.

Steutel, F. W., et al.. (1983). Integer-valued branching processes with immigration. Advances in Applied Probability. 15(4). 713–725. 16 indexed citations

10.

Steutel, F. W., et al.. (1982). Self-decomposable discrete distributions and branching processes. Probability Theory and Related Fields. 61(1). 97–118. 31 indexed citations

11.

Steutel, F. W., et al.. (1981). Divisibility properties of Lebesgue measure. Indagationes Mathematicae (Proceedings). 84(4). 393–398. 2 indexed citations

12.

Steutel, F. W., et al.. (1979). On the degree of approximation by the operators of de la Vall�e Poussin. Monatshefte für Mathematik. 87(1). 53–64. 2 indexed citations

13.

Horn, Roger A. & F. W. Steutel. (1978). On multivariate infinitely divisible distributions. Stochastic Processes and their Applications. 6(2). 139–151. 6 indexed citations

14.

Harn, K. van & F. W. Steutel. (1977). Generalized renewal sequences and infinitely divisible lattice distributions. Stochastic Processes and their Applications. 5(1). 47–55. 3 indexed citations

15.

Steutel, F. W., et al.. (1977). The degree of local approximation of functions in C1[0,1] by Bernstein polynomials. Journal of Approximation Theory. 19(1). 69–82. 13 indexed citations

16.

Steutel, F. W., et al.. (1977). Note on the asymptotic degree of approximation of functions in C1[0,1] by Bernstein polynomials. Indagationes Mathematicae (Proceedings). 80(2). 128–130. 7 indexed citations

17.

Keilson, Julian & F. W. Steutel. (1974). Mixtures of Distributions, Moment Inequalities and Measures of Exponentiality and Normality. The Annals of Probability. 2(1). 62 indexed citations

18.

Steutel, F. W.. (1973). Some recent results in infinite divisibility. Stochastic Processes and their Applications. 1(2). 125–143. 43 indexed citations

19.

Steutel, F. W.. (1973). Some recent results in infinite divisibility. Advances in Applied Probability. 5(1). 25–27. 1 indexed citations

20.

Runnenburg, J. Th. & F. W. Steutel. (1962). On markov chains, the transition function of which is a finite sum of products of functions on one variable : Preliminary report. Data Archiving and Networked Services (DANS). 1–22. 2 indexed citations

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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