Spatial Statistics
Key findings#
- Spatial Statistics published 9 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #116 of 392 journals.
- Leading institutions: Chiba University (1), Hiroshima University (1) and Tarbiat Modares University (1).
- Countries: Japan (2), Spain (2) and France (2).
- From Oct 2023 to Sep 2026, Spatial Statistics published 255 papers (7 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “spatial dependence” (30), “spatial autoregressive model” (19) and “spatial heterogeneity” (18).
- Its most-cited paper of the period is “Automatic cross-validation in structured models: Is it time to leave out leave-one-out?” (2024-06-12), with 75 citations.
- Since October 2016, its most-cited paper is “Correcting for spatial heterogeneity in plant breeding experiments with P-splines” (2017-10-24), with 312 citations.
The last 36 months#
Oct 23Sep 26
| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---|---|---|---|
| 70 | 72 | 113 | 255 |
| # | Keyword | Papers |
|---|---|---|
| 1 | spatial dependence | 30 |
| 2 | spatial autoregressive model | 19 |
| 3 | spatial heterogeneity | 18 |
| 4 | uncertainty quantification | 15 |
| 5 | spatial autocorrelation | 14 |
| 6 | parameter estimation | 13 |
| 7 | computational efficiency | 11 |
| 8 | feature selection | 9 |
| 9 | spatial correlation | 9 |
| 10 | spatial prediction | 9 |
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 75 | 2.6 | Automatic cross-validation in structured models: Is it time to leave out leave-one-out? | Spatial Statistics | 2024-06-12 | Aritz Adín, Elias Teixeira Krainski, Amanda Lenzi et al. |
| 2 | 34 | 1.0 | Deep graphical regression for jointly moderate and extreme Australian wildfires | Spatial Statistics | 2024-01-17 | Daniela Cisneros, Jordan Richards, Ashok Dahal et al. |
| 3 | 32 | 1.1 | Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model | Spatial Statistics | 2024-06-13 | Feng Chen, Yee Leung, Qiang Wang et al. |
| 4 | 23 | 0.8 | The SPDE approach for spatio-temporal datasets with advection and diffusion | Spatial Statistics | 2024-07-02 | Lucia Clarotto, Denis Allard, Thomas Romary et al. |
| 5 | 22 | 0.7 | Robust interaction detector: A case of road life expectancy analysis | Spatial Statistics | 2024-01-19 | Zehua Zhang, Yongze Song, Lalinda Karunaratne et al. |
Most-cited since October 2016# All journals →
| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-23 | Global–local shrinkage priors for modeling random effects in multivariate spatial small area estimation | Spatial Statistics | Shushi Nishina, Takahiro Onizuka, Shintaro Hashimoto | Hiroshima University; Chiba University |
| 2026-10-20 | Robust spatial beta mixture models for proportional data with two-regime spatial heteroscedasticity | Spatial Statistics | Atefeh Saboori, Majid Jafari Khaledi | Tarbiat Modares University |
| 2026-10-09 | Bayesian spatio-temporal disaggregation modeling using a diffusion-SPDE approach: A case study of Aerosol Optical Depth in India | Spatial Statistics | Fernando Rodriguez Avellaneda, Paula Moraga | King Abdullah University of Science and Technology |
| 2026-10-01 | A generalized spatial correlated mean component model: Theory and application to U.S. county voting data | Spatial Statistics | Nelson Alirio Cruz Gutierrez, Jurgen Toloza-Delgado, Oscar O. Melo | Universitat de les Illes Balears; Universidad Nacional de Colombia |
| 2026-10-01 | Preface: Spatial Statistics and the Dawn of AI | Spatial Statistics | Alfred Stein, Jorge Mateu, Peter Atkinson et al. | International Institute for Geo-Information Science and Earth Observation; University of Twente; Universitat Jaume I; … |
| 2026-10-01 | Corrigendum to: “A multivariate spatial and spatiotemporal ARCH Model” [Spat. Stat. 60 (2024) 100823] | Spatial Statistics | Philipp Otto | University of Glasgow |
| 2026-10-01 | Synthetic control method with block kriging for point-referenced data | Spatial Statistics | Naoki Hiramoto, Daisuke Murakami | The Graduate University for Advanced Studies, SOKENDAI; The Institute of Statistical Mathematics |
| 2026-10-01 | Identifiable variational autoencoders for interpretable dimension reduction and prediction in multivariate spatio-temporal processes | Spatial Statistics | Mika Sipilä, Claudia Cappello, Sandra De Iaco et al. | University of Jyväskylä; University of Salento; University of Helsinki |
| 2026-10-01 | A spatial scan statistic for categorical, functional data | Spatial Statistics | Camille Frévent, Moustapha Sarr, Sophie Dabo‐Niang | Université de Lille; Centre Hospitalier Universitaire de Lille; Evaluation des technologies de santé et des pratiques médicales; … |
Cite this page
Scholar4AI. (2026). Spatial Statistics. Journal Research Rankings. Retrieved October 30, 2026, from https://scholar4ai.com/journals/spatial-statistics
@misc{scholar4ai-journals-spatial-statistics,
author = {{Scholar4AI}},
title = {Spatial Statistics},
year = {2026},
howpublished = {\url{https://scholar4ai.com/journals/spatial-statistics}},
urldate = {2026-10-30},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}