John Sall
Impact in
- Insect Science top 5%
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
-
- Ecology and Vegetation Dynamics Studies
Papers in
-
- Advanced Statistical Methods and Models 3
- Statistical Methods and Bayesian Inference 2
-
- Optimal Experimental Design Methods 2
- Co-authors
- Lee Creighton (3 shared papers)Bradley Jones (1 shared paper)Russ Wolfinger (2 shared papers)B. Jones (1 shared paper)
- Journals
- The American Statistician (3 papers)Wiley Interdisciplinary Reviews Computational Statistics (1 paper)Quality Engineering (1 paper)SIAM Journal on Scientific Computing (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- United States
In The Last Decade
John Sall
12 papers receiving 1.1k citations
John Sall's Hit Papers
Peers
Comparison fields: 5 of 175
- Insect Science 149
- Nature and Landscape Conservation 145
- Ecology 249
- Ecology, Evolution, Behavior and Systematics 170
- Statistics and Probability 57
Countries citing papers authored by John Sall
This map shows the geographic impact of John Sall'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 Sall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Sall more than expected).
Fields of papers citing papers by John Sall
This network shows the impact of papers produced by John Sall. 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 Sall. The network helps show where John Sall may publish in the future.
Co-authors
The 4 scholars most cited alongside John Sall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Jmp Start Statistics: A Guide to Statistical and Data Analysis Using Jmp and Jmp in Software Hit paper breakdown → | 1999 | 575 |
| 2 | JMP start statistics : a guide to statistics and data analysis using JMP | 2007 | 181 |
| 3 | 2011 | 153 | |
| 4 | 1994 | 110 | |
| 5 | 1990 | 76 | |
| 6 | JMP Start Statistics: A Guide to Statistics and Data Analysis Using JMP, Fifth Edition | 2012 | 20 |
| 7 | SAS regression applications | 1981 | 19 |
| 8 | 1990 | 16 | |
| 9 | 2017 | 12 | |
| 10 | Mixed Models: A Future Direction | 2010 | 6 |
| 11 | Leptokurtosiphobia: Irrational Fear of Non-Normality | 2005 | 2 |
| 12 | 1988 | 1 |
About John Sall
John Sall is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Control and Systems Engineering and Artificial Intelligence, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (3 papers), Advanced Statistical Process Monitoring (2 papers), Statistical Methods and Bayesian Inference (2 papers), Optimal Experimental Design Methods (2 papers), Spectroscopy and Chemometric Analyses (1 paper), Fault Detection and Control Systems (1 paper), Soil Geostatistics and Mapping (1 paper) and Sensory Analysis and Statistical Methods (1 paper). The work is most often cited by research in Insect Science (149 citations), Nature and Landscape Conservation (145 citations), Ecology (249 citations), Ecology, Evolution, Behavior and Systematics (170 citations) and Statistics and Probability (57 citations). John Sall has collaborated with scholars based in United States. Frequent co-authors include Lee Creighton, Bradley Jones, Russ Wolfinger and B. Jones. Their work appears in journals such as The American Statistician, Wiley Interdisciplinary Reviews Computational Statistics, Quality Engineering, SIAM Journal on Scientific Computing and CERN Document Server (European Organization for Nuclear 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.