Wallace E. Franck

814 citations
18 papers · 572 indexed · h-index 9

Impact in

    • Statistical Distribution Estimation and Applications
    • Statistical Methods and Bayesian Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Inference
    • Statistical Methods in Clinical Trials
    • Probabilistic and Robust Engineering Design

Papers in

Wallace E. Franck

16 papers receiving 493 citations

Peers

Wallace E. Franck
Comparison fields: 5 of 135
  • Statistics and Probability 203
  • Statistics, Probability and Uncertainty 61
  • Management Science and Operations Research 84
  • Management Information Systems 37
  • Artificial Intelligence 124
Replace Donald R. Barr with:
Donald R. Barr United States
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I. Vincze Hungary
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Citations per field
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Citations per year

Countries citing papers authored by Wallace E. Franck

Since Specialization
Citations

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

Fields of papers citing papers by Wallace E. Franck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wallace E. Franck. 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 Wallace E. Franck. The network helps show where Wallace E. Franck may publish in the future.

Co-authors

The 9 scholars most cited alongside Wallace E. Franck, 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 Wallace E. Franck Line = papers co-authored together Wallace E. Franck links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1988332
2 19884
3 198612
4 198624
5 19848
6 19843
7 198425
8 198110
9 19814
10 19733
11 19737
12 196913
13 196659
14 19662
15 19665
16 19652
17 196558
18
The optimal search problem with probability of detection less than one
19631

About Wallace E. Franck

Wallace E. Franck is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Management Information Systems and Computer Networks and Communications, having authored 18 papers that have together received 572 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (6 papers), Statistical Distribution Estimation and Applications (5 papers), Statistical Methods and Bayesian Inference (4 papers), Optimization and Search Problems (3 papers), Bayesian Methods and Mixture Models (2 papers), Fuzzy Systems and Optimization (2 papers), Big Data and Business Intelligence (1 paper) and Statistics Education and Methodologies (1 paper). The work is most often cited by research in Statistics and Probability (203 citations), Statistics, Probability and Uncertainty (61 citations), Management Science and Operations Research (84 citations), Management Information Systems (37 citations) and Artificial Intelligence (124 citations). Wallace E. Franck has collaborated with scholars based in United States. Frequent co-authors include Lee J. Bain, Max Engelhardt, D. L. Hanson, H. D. Brunk, Robert V. Hogg, Sencer Yeralan, John E. Hewett, Michael Cooperstock and Mohammed Zakiul Islam. Their work appears in journals such as Journal of the American Statistical Association, SIAM Review, Technometrics, The American Statistician and European Journal of Operational Research.

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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