Lora Zimmer
Impact in
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- Advanced Statistical Process Monitoring
- Scientific Measurement and Uncertainty Evaluation
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models
Papers in
-
- Advanced Statistical Process Monitoring 8
- Scientific Measurement and Uncertainty Evaluation 5
-
- Fault Detection and Control Systems 2
- Co-authors
- Samuel Kotz (1 shared paper)Douglas C. Montgomery (2 shared papers)George C. Runger (2 shared papers)N.F. Hubele (3 shared papers)Javier Vallejo Montesinos (1 shared paper)R.S. Gorur (1 shared paper)
- Journals
- Technometrics (5 papers)Journal of Quality Technology (4 papers)International Journal of Production Research (2 papers)Quality Engineering (1 paper)Quality and Reliability Engineering International (1 paper)
- Partner nations
- United States
In The Last Decade
Lora Zimmer
13 papers receiving 567 citations
Peers
Comparison fields: 5 of 72
- Statistics, Probability and Uncertainty 522
- Statistics and Probability 231
- Medical Laboratory Technology 35
- Management Science and Operations Research 193
- Industrial and Manufacturing Engineering 89
Countries citing papers authored by Lora Zimmer
This map shows the geographic impact of Lora Zimmer'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 Lora Zimmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lora Zimmer more than expected).
Fields of papers citing papers by Lora Zimmer
This network shows the impact of papers produced by Lora Zimmer. 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 Lora Zimmer. The network helps show where Lora Zimmer may publish in the future.
Co-authors
The 6 scholars most cited alongside Lora Zimmer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 194 | |
| 2 | 2000 | 156 | |
| 3 | 1998 | 79 | |
| 4 | 2000 | 70 | |
| 5 | 2002 | 36 | |
| 6 | 1997 | 24 | |
| 7 | 2002 | 19 | |
| 8 | 1999 | 10 | |
| 9 | 2001 | 9 | |
| 10 | 2001 | 9 | |
| 11 | 2000 | 7 | |
| 12 | 2001 | 4 | |
| 13 | 1998 | 1 | |
| 14 | 2004 | 0 |
About Lora Zimmer
Lora Zimmer is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering, Statistics and Probability, Civil and Structural Engineering and Management Information Systems, having authored 14 papers that have together received 618 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (8 papers), Scientific Measurement and Uncertainty Evaluation (5 papers), Fault Detection and Control Systems (2 papers), Advanced Statistical Methods and Models (2 papers), Asphalt Pavement Performance Evaluation (1 paper), Infrastructure Maintenance and Monitoring (1 paper), Water Systems and Optimization (1 paper) and Manufacturing Process and Optimization (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (522 citations), Statistics and Probability (231 citations), Medical Laboratory Technology (35 citations), Management Science and Operations Research (193 citations) and Industrial and Manufacturing Engineering (89 citations). Lora Zimmer has collaborated with scholars based in United States. Frequent co-authors include Samuel Kotz, Douglas C. Montgomery, George C. Runger, N.F. Hubele, Javier Vallejo Montesinos and R.S. Gorur. Their work appears in journals such as Technometrics, Journal of Quality Technology, International Journal of Production Research, Quality Engineering and Quality and Reliability Engineering International.
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.