Scott J. Richter

1.2k citations
50 papers · 902 indexed · h-index 15
Topics
Plant and animal studies (8 papers)Statistical Methods in Clinical Trials (7 papers)Statistical Methods and Bayesian Inference (5 papers)

In The Last Decade

Scott J. Richter

48 papers receiving 856 citations

Peers

Scott J. Richter
Comparison fields: 5 of 138
  • Cardiology and Cardiovascular Medicine 202
  • Surgery 173
  • Ecology, Evolution, Behavior and Systematics 144
  • Molecular Biology 127
  • Plant Science 123
Replace Michelle A. Keske with:
Michelle A. Keske Australia
Edward J. Peters United States
Nicola Jackson United Kingdom
Christopher J. Andrews Canada
Michael E Foley United States
Jonathan Shaw United States
Tadashi Kato Japan
Hilary Green United Kingdom
C. Frampton New Zealand
S. E. Curtis United States
Scott J. Richter relative to Michelle A. Keske Australia Michelle A. Keske's profile →
Citations per field
00.5×9.6×
Michelle A. Keske · 1×
Citations per year

Countries citing papers authored by Scott J. Richter

Since Specialization
Citations

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

Fields of papers citing papers by Scott J. Richter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott J. Richter. 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 Scott J. Richter. The network helps show where Scott J. Richter may publish in the future.

Co-authorship network of co-authors of Scott J. Richter

This figure shows the co-authorship network connecting the top 25 collaborators of Scott J. Richter. A scholar is included among the top collaborators of Scott J. Richter 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 Scott J. Richter. Scott J. Richter 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 1
2 2
3 4
4 1
5 0
6 4
7 2
8
SAS Program To Perform Analysis Of Factorial Experiments Using Aligned Ranks
1
9 11
10 104
11 24
12 2
13 3
14 42
15 11
16 161
17
SAS Companion for Nonparametric Statistics
10
18 1
19 11
20 5

About Scott J. Richter

Scott J. Richter is a scholar working on Statistics and Probability, Sensory Systems and Ecological Modeling, having authored 50 papers that have together received 902 indexed citations. Recurring topics across this work include Plant and animal studies (8 papers), Statistical Methods in Clinical Trials (7 papers) and Statistical Methods and Bayesian Inference (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (103 citations), Cardiology and Cardiovascular Medicine (202 citations) and Sensory Systems (40 citations). Scott J. Richter has collaborated with scholars based in United States, Denmark and Chile. Frequent co-authors include Sandra J. Shultz, Elizabeth P. Lacey, Jeffrey B. Taylor, Robert H. Stavn, Debra S. VerSteeg, Navin Gupta, Bruce R. Brodie, Mark Pulsipher, Charles Hansen and Thomas Stuckey. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and The American Naturalist.

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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