Journal of Agricultural, Biological, and Environmental Statistics

Aims & Scope

The Journal of Agricultural, Biological and Environmental Statistics (JABES) publishes papers that introduce new statistical methods to solve practical problems in the agricultural sciences, the biological sciences (including biotechnology), and the environmental sciences (including those dealing with natural resources).

Papers that apply existing methods in a novel context are also encouraged.

Interdisciplinary papers and papers that illustrate the application of new and important statistical methods using real data are strongly encouraged.

The journal does not normally publish papers that have a primary focus on human genetics, human health, or medical statistics.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.1
2024	1.40

Journal Rank

Year	Value
2024	12829

Journal Citation Indicator

Year	Value
2024	139

SJR (SCImago Journal Rank)

Year	Value
2024	0.441

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	58

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Agricultural and Biological Sciences, Decision Sciences, Environmental Science and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Estimating overlap of daily activity patterns from camera trap data

  Citation: 1092

  Authors: M. S., M.

• Characterization of Weighted Quantile Sum Regression for Highly Correlated Data in a Risk Analysis Setting

  Citation: 1055

  Authors: Caroline, Chris, David C., Pam

• On the design of early generation variety trials with correlated data

  Citation: 755

  Authors: B. R., A. B., N. E.

• Assessing the fit of site-occupancy models

  Citation: 730

  Authors: Darryl I., Larissa L.

• Accounting for Natural and Extraneous Variation in the Analysis of Field Experiments

  Citation: 595

  Authors: Arthur R., Brian R., Arūnas P., Arunas P.

• Species associations: the Kendall coefficient of concordance revisited

  Citation: 374

  Authors: Pierre

• Confidence limits for regression relationships between distance matrices: Estimating gene flow with distance

  Citation: 332

  Authors: Ralph T., Peter, Alan F.

• A multiple-comparisons method based on the distribution of the root node distance of a binary tree

  Citation: 309

  Authors: J. A., A. W., F.

• Nonlinear models for repeated measurement data: An overview and update

  Citation: 302

  Authors: Marie, David M.

• A Case Study Competition Among Methods for Analyzing Large Spatial Data

  Citation: 268

  Authors: Matthew J., Abhirup, Andrew O., Reinhard, Joseph, Rajarshi, Florian, Robert B., Dorit, Matthias, Finn, Douglas W., Furong, Andrew

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