A. de Acosta

1.3k citations
34 papers · 801 indexed · h-index 17
Topics
Probability and Risk Models (9 papers)Stochastic processes and statistical mechanics (7 papers)Mathematical Dynamics and Fractals (7 papers)

In The Last Decade

A. de Acosta

33 papers receiving 610 citations

Peers

A. de Acosta
Comparison fields: 5 of 65
  • Mathematical Physics 429
  • Finance 382
  • Management Science and Operations Research 286
  • Statistics and Probability 255
  • Applied Mathematics 153
Replace Vygantas Paulauskas with:
Vygantas Paulauskas Lithuania
B. A. Rogozin Russia
William E. Pruitt United States
Melvin Katz United States
Michael J. Wichura United States
Claude Dellacherie France
Bengt Von Bahr Sweden
Edward Omey Belgium
Wenbo V. Li United States
Marjorie G. Hahn United States
A. de Acosta relative to Vygantas Paulauskas Lithuania Vygantas Paulauskas's profile →
Citations per field
00.5×1.7×
Vygantas Paulauskas · 1×
Citations per year

Countries citing papers authored by A. de Acosta

Since Specialization
Citations

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

Fields of papers citing papers by A. de Acosta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. de Acosta. 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 A. de Acosta. The network helps show where A. de Acosta may publish in the future.

Co-authorship network of co-authors of A. de Acosta

This figure shows the co-authorship network connecting the top 25 collaborators of A. de Acosta. A scholar is included among the top collaborators of A. de Acosta 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 A. de Acosta. A. de Acosta 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 2
2
Uniformly continuous composition operator in the space of φ-variation functions in the sense of Riesz
6
3 2
4 3
5 14
6 27
7 26
8 31
9 57
10 49
11 37
12 52
13 7
14 21
15 27
16 55
17 57
18 28
19 17
20 2

About A. de Acosta

A. de Acosta is a scholar working on Mathematical Physics, Applied Mathematics and Statistics and Probability, having authored 34 papers that have together received 801 indexed citations. Recurring topics across this work include Probability and Risk Models (9 papers), Stochastic processes and statistical mechanics (7 papers) and Mathematical Dynamics and Fractals (7 papers). The work is most often cited by research in Mathematical Physics (429 citations), Finance (382 citations) and Statistics and Probability (255 citations). A. de Acosta has collaborated with scholars based in United States, Venezuela and Argentina. Frequent co-authors include J. Kuelbs, Xia Chen, Peter Ney, Nelson Merentes and Janusz Matkowski. Their work appears in journals such as Transactions of the American Mathematical Society, Advances in Mathematics and Proceedings 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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