Suprasad V. Amari

2.9k total citations
67 papers, 2.0k citations indexed

About

Suprasad V. Amari is a scholar working on Safety, Risk, Reliability and Quality, Software and Statistics, Probability and Uncertainty. According to data from OpenAlex, Suprasad V. Amari has authored 67 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Safety, Risk, Reliability and Quality, 47 papers in Software and 30 papers in Statistics, Probability and Uncertainty. Recurrent topics in Suprasad V. Amari's work include Reliability and Maintenance Optimization (57 papers), Software Reliability and Analysis Research (47 papers) and Risk and Safety Analysis (23 papers). Suprasad V. Amari is often cited by papers focused on Reliability and Maintenance Optimization (57 papers), Software Reliability and Analysis Research (47 papers) and Risk and Safety Analysis (23 papers). Suprasad V. Amari collaborates with scholars based in United States, Israel and China. Suprasad V. Amari's co-authors include Liudong Xing, Ranjeev Misra, Gregory Levitin, Glenn Dill, J.B. Dugan, Hoang Pham, Chaonan Wang, Yuchang Mo, Yung‐Ruei Chang and Sy‐Yen Kuo and has published in prestigious journals such as IEEE Transactions on Computers, Reliability Engineering & System Safety and IEEE Transactions on Systems Man and Cybernetics Systems.

In The Last Decade

Suprasad V. Amari

63 papers receiving 1.8k citations

Peers

Suprasad V. Amari
Comparison fields: 5 of 72
  • Safety, Risk, Reliability and Quality 1.5k
  • Software 1.0k
  • Statistics, Probability and Uncertainty 918
  • Statistics and Probability 290
  • Electrical and Electronic Engineering 224
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Citations per field, relative to Suprasad V. Amari
Suprasad V. Amari · 1×
Citations per year, relative to Suprasad V. Amari
Suprasad V. Amari · 1×

Countries citing papers authored by Suprasad V. Amari

Since Specialization
Citations

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

Fields of papers citing papers by Suprasad V. Amari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suprasad V. Amari. 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 Suprasad V. Amari. The network helps show where Suprasad V. Amari may publish in the future.

Co-authorship network of co-authors of Suprasad V. Amari

This figure shows the co-authorship network connecting the top 25 collaborators of Suprasad V. Amari. A scholar is included among the top collaborators of Suprasad V. Amari 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 Suprasad V. Amari. Suprasad V. Amari 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
# Work Indexed citations
1 0
2 26
3 6
4 10
5 0
6
Reliability Analysis of k-out-of-n Cold Standby Systems with Erlang Distributions
7
7 14
8 53
9
Expectation-Maximization Algorithm for Failure Analysis Using Incomplete Warranty Data
3
10 7
11 6
12 43
13 45
14 16
15
Steady-State Availability and MTBF of Systems Subjected to Suspended Animation
3
16
Performance Computing Failure Frequency of Non-coherent Systems
2
17 54
18 51
19 2
20 8

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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