Andrew Rosalsky

1.4k citations
118 papers · 922 indexed · h-index 18

Andrew Rosalsky

103 papers receiving 819 citations

Peers

Andrew Rosalsky
Comparison fields: 5 of 62
  • Management Science and Operations Research 703
  • Statistics and Probability 410
  • Mathematical Physics 325
  • Finance 264
  • Applied Mathematics 192
Replace S. V. Nagaev with:
S. V. Nagaev Russia
Magda Peligrad United States
Tien-Chung Hu Taiwan
Edward Omey Belgium
Andrei Volodin Canada
A. de Acosta United States
Han‐Ying Liang China
Jérôme Dedecker France
J. Kuelbs United States
Vygantas Paulauskas Lithuania
Andrew Rosalsky relative to S. V. Nagaev Russia S. V. Nagaev's profile →
Citations per field
00.5×2.7×
S. V. Nagaev · 1×
Citations per year

Countries citing papers authored by Andrew Rosalsky

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Rosalsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Rosalsky

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Rosalsky. A scholar is included among the top collaborators of Andrew Rosalsky 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 Andrew Rosalsky. Andrew Rosalsky 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
#WorkIndexed citations
1 1
2 1
3 0
4 9
5 0
6 3
7 0
8
Degenerate weak convergence of row sums for arrays of random elements in stable type p Banach spaces
0
9 5
10 8
11 14
12 2
13 25
14
On the asymptotic probability for the deviations of dependent bootstrap means from the sample mean
3
15 2
16 2
17 6
18 21
19
An extension of the hong-park version of the chow-robbins theorem on sums of nonintegrable random variables
3
20 4

About Andrew Rosalsky

Andrew Rosalsky is a scholar working on Management Science and Operations Research, Statistics and Probability and Mathematical Physics, having authored 118 papers that have together received 922 indexed citations. Recurring topics across this work include Probability and Risk Models (92 papers), Stochastic processes and statistical mechanics (32 papers) and Stochastic processes and financial applications (28 papers). The work is most often cited by research in Management Science and Operations Research (703 citations), Statistics and Probability (410 citations) and Mathematical Physics (325 citations). Andrew Rosalsky has collaborated with scholars based in United States, Canada and China. Frequent co-authors include André Adler, Andrei Volodin, Deli Li, Lê Vǎn Thành, Tien-Chung Hu, Robert L. Taylor, Oleg Klesov, Yongcheng Qi, Yi Wu and Weidong Liu. Their work appears in journals such as Journal of the American Statistical Association, Journal of Mathematical Analysis and Applications and Transactions of the American Mathematical Society.

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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