Steven A. Cuccaro

604 total citations
9 papers, 203 citations indexed

About

Steven A. Cuccaro is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Steven A. Cuccaro has authored 9 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Atomic and Molecular Physics, and Optics and 4 papers in Artificial Intelligence. Recurrent topics in Steven A. Cuccaro's work include Chaos-based Image/Signal Encryption (4 papers), Parallel Computing and Optimization Techniques (2 papers) and Advanced Chemical Physics Studies (2 papers). Steven A. Cuccaro is often cited by papers focused on Chaos-based Image/Signal Encryption (4 papers), Parallel Computing and Optimization Techniques (2 papers) and Advanced Chemical Physics Studies (2 papers). Steven A. Cuccaro collaborates with scholars based in United States. Steven A. Cuccaro's co-authors include Paul G. Hipes, Aron Kuppermann, Yi-Shuen Mark Wu and Michael Mascagni and has published in prestigious journals such as Journal of Computational Physics, Chemical Physics Letters and Theoretical Chemistry Accounts.

In The Last Decade

Steven A. Cuccaro

9 papers receiving 196 citations

Peers

Steven A. Cuccaro
Comparison fields: 5 of 38
  • Atomic and Molecular Physics, and Optics 136
  • Spectroscopy 51
  • Computer Vision and Pattern Recognition 31
  • Artificial Intelligence 30
  • Computer Networks and Communications 26
Replace Takashi Sato with:
Takashi Sato Japan
A. G. Sibiryakov Russia
Chi‐Chung Lam United States
Haiyuan Zou China
R. Sobie Canada
A. Hoogland Netherlands
B. Delcourt France
Gregory Quiroz United States
Jacob C. Bridgeman Australia
David Landhuis United States
Takashi Sato Japan View profile →
Citations per field, relative to Steven A. Cuccaro
Steven A. Cuccaro · 1×
Citations per year, relative to Steven A. Cuccaro
Steven A. Cuccaro · 1×

Countries citing papers authored by Steven A. Cuccaro

Since Specialization
Citations

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

Fields of papers citing papers by Steven A. Cuccaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven A. Cuccaro

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 5
2
Techniques for Testing the Quality of Parallel Pseudorandom Number Generators.
10
3 26
4 3
5
Recent Developments in Parallel Pseudorandom Number Generation.
4
6 13
7 39
8 56
9 47

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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