--- title: "Spatial Statistics: 9 recent papers (last 30 days)" description: "Spatial Statistics published 9 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #116 of 392 journals." url: https://scholar4ai.com/journals/spatial-statistics markdown_url: https://scholar4ai.com/journals/spatial-statistics.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "Spatial Statistics published 9 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #116 of 392 journals." data_url: https://scholar4ai.com/data/rankings.json updated: 2026-10-30T12:46:54+09:00 window: 2026-10-01 to 2026-10-30 source: OpenAlex (CC0) --- # Spatial Statistics - 0 papers in the last 7 days - category: Statistics - publisher: Elsevier BV - ISSN 2211-6753 Back to the ranking: https://scholar4ai.com/rankings/journals.md ## 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 *Papers by publication date, Oct 2023 to Sep 2026* | Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months | |---:|---:|---:|---:| | 70 | 72 | 113 | 255 | *Most frequent keywords, Oct 2023 to Sep 2026* | # | 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 | *Most-cited papers published Oct 2023 to Sep 2026* | # | 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?](https://doi.org/10.1016/j.spasta.2024.100843) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 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](https://doi.org/10.1016/j.spasta.2024.100811) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 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](https://doi.org/10.1016/j.spasta.2024.100846) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 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](https://doi.org/10.1016/j.spasta.2024.100847) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 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](https://doi.org/10.1016/j.spasta.2024.100814) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2024-01-19 | Zehua Zhang, Yongze Song, Lalinda Karunaratne et al. | ## Most-cited since October 2016 *The journal's most-cited papers published since October 2016* | # | Citations | Per month | Title | Journal | Published | Authors | |---:|---:|---:|---|---|---|---| | 1 | 312 | 2.9 | [Correcting for spatial heterogeneity in plant breeding experiments with P-splines](https://doi.org/10.1016/j.spasta.2017.10.003) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2017-10-24 | María Xosé Rodríguez‐Álvarez, Martin P. Boer, Fred A. van Eeuwijk et al. | | 2 | 238 | 2.7 | [Evaluation of empirical Bayesian kriging](https://doi.org/10.1016/j.spasta.2019.100368) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2019-06-27 | Konstantin Krivoruchko, Alexander Gribov | | 3 | 163 | 2.1 | [Determining the spatial effects of COVID-19 using the spatial panel data model](https://doi.org/10.1016/j.spasta.2020.100443) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2020-04-07 | Hasraddin Guliyev | | 4 | 132 | 1.4 | [Non-stationary Gaussian models with physical barriers](https://doi.org/10.1016/j.spasta.2019.01.002) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2019-01-18 | Haakon Christopher Bakka, Jarno P. Vanhatalo, Janine Illian et al. | | 5 | 127 | 1.1 | [Spatio-temporal point process statistics: A review](https://doi.org/10.1016/j.spasta.2016.10.002) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2016-11-01 | Jonatan A. González, Francisco J. Rodríguez‐Cortés, Ottmar Cronie et al. | | 6 | 98 | 1.2 | [Analysing point patterns on networks — A review](https://doi.org/10.1016/j.spasta.2020.100435) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2020-03-09 | Adrian J. Baddeley, Gopalan M. Nair, Suman Rakshit et al. | | 7 | 95 | 0.8 | [A Moran coefficient-based mixed effects approach to investigate spatially varying relationships](https://doi.org/10.1016/j.spasta.2016.12.001) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2016-12-18 | Daisuke Murakami, Takahiro Yoshida, Hajime Seya et al. | | 8 | 94 | 0.9 | [Statistical inference for partially linear additive spatial autoregressive models](https://doi.org/10.1016/j.spasta.2018.04.008) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2018-05-04 | Jiang Du, Xiaoqian Sun, Ruiyuan Cao et al. | | 9 | 92 | 0.8 | [Bridging asymptotic independence and dependence in spatial extremes using Gaussian scale mixtures](https://doi.org/10.1016/j.spasta.2017.06.004) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2017-06-23 | Raphaël Huser, Thomas Opitz, Emeric Thibaud | | 10 | 90 | 1.6 | [Spatial statistics and soil mapping: A blossoming partnership under pressure](https://doi.org/10.1016/j.spasta.2022.100639) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2022-02-15 | G.B.M. Heuvelink, R. Webster | *Papers, newest first.* | Date | Title | Journal | Authors | Affiliations | |---|---|---|---|---| | 2026-10-23 | [Global–local shrinkage priors for modeling random effects in multivariate spatial small area estimation](https://doi.org/10.1016/j.spasta.2026.101062) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 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](https://doi.org/10.1016/j.spasta.2026.101060) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 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](https://doi.org/10.1016/j.spasta.2026.101058) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 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](https://doi.org/10.1016/j.spasta.2026.101053) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 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](https://doi.org/10.1016/j.spasta.2026.101061) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 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” \[Spat. Stat. 60 (2024) 100823\]](https://doi.org/10.1016/j.spasta.2026.101057) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | Philipp Otto | University of Glasgow | | 2026-10-01 | [Synthetic control method with block kriging for point-referenced data](https://doi.org/10.1016/j.spasta.2026.101056) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 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](https://doi.org/10.1016/j.spasta.2026.101054) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 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](https://doi.org/10.1016/j.spasta.2026.101048) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 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 ```bibtex @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} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).