Lora L. Bohn

542 citations
8 papers · 455 · h-index 8

Impact in

    • Statistical Distribution Estimation and Applications
    • Advanced Statistical Methods and Models
    • Statistical Methods and Bayesian Inference
    • Fuzzy Systems and Optimization
    • Survey Sampling and Estimation Techniques
    • Probabilistic and Robust Engineering Design
    • Advanced Statistical Process Monitoring

Papers in

    • Statistical Distribution Estimation and Applications 6
    • Advanced Statistical Methods and Models 4
    • Statistical Methods and Bayesian Inference 1
    • Survey Sampling and Estimation Techniques 1
    • Advanced Statistical Process Monitoring 5
    • Probabilistic and Robust Engineering Design 2

Lora L. Bohn

8 papers receiving 432 citations

Peers

Lora L. Bohn
Comparison fields: 5 of 33
  • Statistics and Probability 411
  • Statistics, Probability and Uncertainty 282
  • Management Science and Operations Research 78
  • Safety, Risk, Reliability and Quality 15
  • Industrial and Manufacturing Engineering 16
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TaChen Liang United States
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Metwally Alsayed Alawady Egypt
H. W. Block United States
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Citations per year

Countries citing papers authored by Lora L. Bohn

Since Specialization
Citations

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

Fields of papers citing papers by Lora L. Bohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lora L. Bohn. 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 L. Bohn. The network helps show where Lora L. Bohn may publish in the future.

Co-authors

The 3 scholars most cited alongside Lora L. Bohn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lora L. Bohn Line = papers co-authored together Lora L. Bohn links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown

About Lora L. Bohn

Lora L. Bohn is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Computational Theory and Mathematics and Insect Science, having authored 8 papers that have together received 455 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (6 papers), Advanced Statistical Process Monitoring (5 papers), Advanced Statistical Methods and Models (4 papers), Probabilistic and Robust Engineering Design (2 papers), Optimal Experimental Design Methods (1 paper), Statistical Methods and Bayesian Inference (1 paper), Multi-Criteria Decision Making (1 paper) and Survey Sampling and Estimation Techniques (1 paper). The work is most often cited by research in Statistics and Probability (411 citations), Statistics, Probability and Uncertainty (282 citations), Management Science and Operations Research (78 citations), Safety, Risk, Reliability and Quality (15 citations) and Industrial and Manufacturing Engineering (16 citations). Lora L. Bohn has collaborated with scholars based in United States and Australia. Frequent co-authors include Douglas A. Wolfe, Brett Presnell and G. Geoffrey Vining. Their work appears in journals such as Journal of the American Statistical Association, Journal of Quality Technology, Journal of nonparametric statistics and Communication in Statistics- Theory and Methods.

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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