Anthony A. Salvia

460 citations
22 papers · 321 indexed · h-index 9
Topics
Reliability and Maintenance Optimization (8 papers)Statistical Distribution Estimation and Applications (5 papers)Advanced Statistical Process Monitoring (5 papers)
Partner nations
United States

In The Last Decade

Anthony A. Salvia

22 papers receiving 296 citations

Peers

Anthony A. Salvia
Comparison fields: 5 of 74
  • Safety, Risk, Reliability and Quality 178
  • Statistics and Probability 140
  • Statistics, Probability and Uncertainty 91
  • Software 55
  • Artificial Intelligence 36
Replace Ourania Chryssaphinou with:
Ourania Chryssaphinou Greece
Boyan N. Dimitrov United States
Gaofeng Da China
R.K. Tuteja India
Hassan Zahedi United States
Weiyong Ding China
Franco Robledo Uruguay
William G. Bulgren United States
Rui Fang China
Sylvain Ehrenfeld United States
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Citations per field
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Ourania Chryssaphinou · 1×
Citations per year

Countries citing papers authored by Anthony A. Salvia

Since Specialization
Citations

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

Fields of papers citing papers by Anthony A. Salvia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony A. Salvia

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony A. Salvia. A scholar is included among the top collaborators of Anthony A. Salvia 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 Anthony A. Salvia. Anthony A. Salvia 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 9
2 69
3 15
4 1
5 13
6 3
7 2
8 1
9 19
10 3
11 9
12 77
13 51
14 1
15 6
16 7
17 4
18 3
19 4
20 2

About Anthony A. Salvia

Anthony A. Salvia is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 22 papers that have together received 321 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (8 papers), Statistical Distribution Estimation and Applications (5 papers) and Advanced Statistical Process Monitoring (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (178 citations), Statistics and Probability (140 citations) and Software (55 citations). Anthony A. Salvia has collaborated with scholars based in United States. Frequent co-authors include Richard C. Bollinger, Roger C. Pfaffenberger, J. Herbert Patterson and Ronald C. Suich. Their work appears in journals such as Technometrics, The American Statistician and Journal of Quality Technology.

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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