Journal of Artificial Intelligence Research (JAIR)

Venue URL:

The Percentage of Empirical Papers Documenting Each Reproducibility Variable

Venue Year Papers
Repro. Score Reproducibility Score based on Gundersen et al. (2025)
Doc. Mean Global mean is the average score over the seven reproducibility variables for empirical research papers.
Doc. Median Global median is the median score over the seven reproducibility variables for empirical research papers.
Dataset Doc. Documentation mean is the average score over the Open Datasets and Dataset Splits reproducibility variables for empirical research papers.
Code Doc. Documentation mean is the average score over the Open Source Code reproducibility variables for empirical research papers.
Other Doc. Documentation mean is the average score over the Pseudocode, Hardware Specification, Software Dependencies, and Experiment Setup reproducibility variables for empirical research papers.
% Empirical Percentage of papers that are empirical research vs theoretical research
% Industry Percentage of empirical research papers with at least one author from Industry
Website
JAIR 2025 132 0.51 3.89 4.0 1.19 0.56 2.14 72.73% 14.58%
JAIR 2024 105 0.63 4.19 4.0 1.28 0.65 2.26 68.57% 16.67%
JAIR 2023 100 0.51 4.11 4.0 1.2 0.59 2.33 61.0% 19.67%
JAIR 2022 118 0.5 4.13 4.0 1.2 0.6 2.33 72.03% 23.53%
JAIR 2021 104 0.53 3.79 4.0 1.17 0.56 2.06 63.46% 25.76%
JAIR 2020 84 0.48 3.83 4.0 1.17 0.5 2.17 71.43% 16.67%
JAIR 2019 75 0.41 3.71 4.0 1.02 0.43 2.27 65.33% 22.45%
JAIR 2018 69 0.37 3.61 4.0 1.05 0.3 2.27 63.77% 27.27%
JAIR 2017 68 0.41 3.96 4.0 0.89 0.44 2.62 66.18% 11.11%
JAIR 2016 65 0.44 3.94 4.0 1.38 0.33 2.23 80.0% 19.23%
JAIR 2015 48 0.39 4.18 4.0 1.18 0.33 2.67 68.75% 21.21%
JAIR 2014 68 0.35 3.77 4.0 1.06 0.28 2.43 69.12% 4.26%