Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A Framework for Validation of Computer Models
2007456 citationsM. J. Bayarri, James O. Berger et al.Technometricsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of John A. Cafeo'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 John A. Cafeo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Cafeo more than expected).
This network shows the impact of papers produced by John A. Cafeo. 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 John A. Cafeo. The network helps show where John A. Cafeo may publish in the future.
Co-authorship network of co-authors of John A. Cafeo
This figure shows the co-authorship network connecting the top 25 collaborators of John A. Cafeo.
A scholar is included among the top collaborators of John A. Cafeo 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 John A. Cafeo. John A. Cafeo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bayarri, M. J., James O. Berger, Rui Paulo, et al.. (2007). A Framework for Validation of Computer Models. Technometrics. 49(2). 138–154.456 indexed citations breakdown →
Morgan, Alexander P., et al.. (2004). The general motors variation-reduction adviser: deployment issues for an AI application. 26(3). 777–784.3 indexed citations
11.
Cafeo, John A., et al.. (2001). Capturing Lessons Learned for Variation Reduction in an Automotive Assembly Plant. The Florida AI Research Society. 89–92.5 indexed citations
12.
Cafeo, John A., et al.. (1998). Considerations to reduce modal analysis test variability. 3243. 470–476.4 indexed citations
13.
Cafeo, John A., et al.. (1997). A Design-of-experiments Approach to Quantifying Test-to-test Variability for a Modal Test. Proceedings of SPIE, the International Society for Optical Engineering. 3089. 598–604.11 indexed citations
14.
Sommer, H. J., Michael A. Erickson, Martin W. Trethewey, & John A. Cafeo. (1994). Single-beam Laser Vibrometer for Simultaneous Measurement of Translation Pitch and Roll with Neural Network Calibration. 2251. 1196.
Cafeo, John A., Martin W. Trethewey, & H. J. Sommer. (1993). On the use of measured rotational degrees of freedom in structural dynamics modification. 96–101.
17.
Cafeo, John A., Martin W. Trethewey, & H. J. Sommer. (1992). Measurement and application of experimental rotational degrees of freedom for mode shape refinement. 7(4). 255–269.3 indexed citations
18.
Trethewey, Martin W. & John A. Cafeo. (1992). Tutorial. Signal processing aspects of structural impact testing. 7(2). 129–149.9 indexed citations
19.
Cafeo, John A., et al.. (1991). Application of a three degree of freedom laser vibrometer for experimental modal analysis. 2. 1161–1167.1 indexed citations
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.