Joel A. Nachlas
- Statistics, Probability and Uncertainty top 0.2%
- Statistics and Probability top 1%
- Control and Systems Engineering top 10%
- Safety, Risk, Reliability and Quality top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Jesse C. ArnoldRaid AminMarion R. ReynoldsC. Richard CassadyLayne T. WatsonRichard T. BrownTapas KarSeong-in Kim
- Topics
- Reliability and Maintenance Optimization (19 papers)Software Reliability and Analysis Research (10 papers)Statistical Distribution Estimation and Applications (9 papers)
- Cited by
- Statistics, Probability and UncertaintyMedical Laboratory TechnologyStatistics and Probability
- Partner nations
- United StatesSouth KoreaPuerto Rico
In The Last Decade
Joel A. Nachlas
38 papers receiving 769 citations
Peers
Comparison fields: 5 of 65
- Statistics, Probability and Uncertainty 613
- Statistics and Probability 275
- Control and Systems Engineering 146
- Safety, Risk, Reliability and Quality 134
- Management Science and Operations Research 94
Countries citing papers authored by Joel A. Nachlas
This map shows the geographic impact of Joel A. Nachlas'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 Joel A. Nachlas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel A. Nachlas more than expected).
Fields of papers citing papers by Joel A. Nachlas
This network shows the impact of papers produced by Joel A. Nachlas. 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 Joel A. Nachlas. The network helps show where Joel A. Nachlas may publish in the future.
Co-authorship network of co-authors of Joel A. Nachlas
This figure shows the co-authorship network connecting the top 25 collaborators of Joel A. Nachlas. A scholar is included among the top collaborators of Joel A. Nachlas 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 Joel A. Nachlas. Joel A. Nachlas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Reliability Engineering: Probabilistic Models and Maintenance Methods, Second Edition | 2 |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 0 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 32 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 30 | |
| 15 | 1 | |
| 16 | 81 | |
| 17 | 370 | |
| 18 | 17 | |
| 19 | 8 | |
| 20 | 6 |
About Joel A. Nachlas
Joel A. Nachlas is a scholar working on Software, Safety, Risk, Reliability and Quality and Statistics and Probability, having authored 42 papers that have together received 836 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (19 papers), Software Reliability and Analysis Research (10 papers) and Statistical Distribution Estimation and Applications (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (613 citations), Medical Laboratory Technology (84 citations) and Statistics and Probability (275 citations). Joel A. Nachlas has collaborated with scholars based in United States, South Korea and Puerto Rico. Frequent co-authors include Jesse C. Arnold, Raid Amin, Marion R. Reynolds, C. Richard Cassady, Layne T. Watson, Richard T. Brown, Tapas Kar, Seong-in Kim, Andrew J. Henry and John L. Stevenson. Their work appears in journals such as Technometrics, Computer Methods in Applied Mechanics and Engineering and AIAA Journal.
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.