Robert V. Foutz

2.9k citations
37 papers · 2.4k indexed · 1 hit paper · h-index 10
Topics
Advanced Statistical Methods and Models (8 papers)Statistical Methods and Inference (5 papers)Time Series Analysis and Forecasting (4 papers)
Partner nations
United StatesSouth Korea

In The Last Decade

Robert V. Foutz

33 papers receiving 2.1k citations

Hit Papers

Randomization and Monte Carlo Methods in Biology.199220262003201419924008001.2k

Peers

Robert V. Foutz
Comparison fields: 5 of 173
  • Ecology 610
  • Ecology, Evolution, Behavior and Systematics 457
  • Nature and Landscape Conservation 439
  • Statistics and Probability 422
  • Genetics 308
Replace James E. Mosimann with:
James E. Mosimann United States
J. A. Nelder United Kingdom
P. McCullagh United Kingdom
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Walter Krämer Germany
Anne Lohrli United States
Karen Vines United Kingdom
Fred L. Ramsey United States
J. N. R. Jeffers United Kingdom
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Robert V. Foutz relative to James E. Mosimann United States James E. Mosimann's profile →
Citations per field
00.5×1.5×
James E. Mosimann · 1×
Citations per year

Countries citing papers authored by Robert V. Foutz

Since Specialization
Citations

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

Fields of papers citing papers by Robert V. Foutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert V. Foutz. 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 Robert V. Foutz. The network helps show where Robert V. Foutz may publish in the future.

Co-authorship network of co-authors of Robert V. Foutz

This figure shows the co-authorship network connecting the top 25 collaborators of Robert V. Foutz. A scholar is included among the top collaborators of Robert V. Foutz 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 Robert V. Foutz. Robert V. Foutz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 1
4 5
5 3
6 10
7 6
8 2
9 6
10 2
11 5
12 20
13 2
14 16
15 4
16 8
17 4
18 68
19 1
20
Studies in large sample theory /
1

About Robert V. Foutz

Robert V. Foutz is a scholar working on Statistics and Probability, Management Science and Operations Research and Signal Processing, having authored 37 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Statistical Methods and Inference (5 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Statistics and Probability (422 citations), Nature and Landscape Conservation (439 citations) and Ecological Modeling (108 citations). Robert V. Foutz has collaborated with scholars based in United States and South Korea. Frequent co-authors include Bryan F. J. Manly, David Stirzaker, R. C. Srivastava, D. R. Jensen, Michael L. Deaton, Nien‐Fan Zhang, Jeffrey B. Birch, Richard E. Nance, Gary Anderson and John Cairns. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Communications of the ACM.

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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