Joseph Guinness

1.2k total citations
40 papers, 688 citations indexed

About

Joseph Guinness is a scholar working on Environmental Engineering, Artificial Intelligence and Environmental Chemistry. According to data from OpenAlex, Joseph Guinness has authored 40 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 10 papers in Artificial Intelligence and 6 papers in Environmental Chemistry. Recurrent topics in Joseph Guinness's work include Soil Geostatistics and Mapping (17 papers), Statistical Methods and Inference (6 papers) and Spatial and Panel Data Analysis (5 papers). Joseph Guinness is often cited by papers focused on Soil Geostatistics and Mapping (17 papers), Statistical Methods and Inference (6 papers) and Spatial and Panel Data Analysis (5 papers). Joseph Guinness collaborates with scholars based in United States, China and Canada. Joseph Guinness's co-authors include Montserrat Fuentes, Matthias Katzfuß, Andrew Zammit‐Mangion, Andrew O. Finley, Matthew J. Heaton, Robert B. Gramacy, Reinhard Furrer, Rajarshi Guhaniyogi, Finn Lindgren and Abhirup Datta and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Environmental Science & Technology.

In The Last Decade

Joseph Guinness

36 papers receiving 663 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joseph Guinness United States 12 314 135 130 120 95 40 688
B. M. Davis United States 16 225 0.7× 97 0.7× 95 0.7× 44 0.4× 26 0.3× 29 805
D. Posa Italy 20 820 2.6× 261 1.9× 292 2.2× 345 2.9× 164 1.7× 54 1.2k
K. F. Turkman Portugal 17 111 0.4× 65 0.5× 407 3.1× 93 0.8× 90 0.9× 62 824
William Kleiber United States 19 531 1.7× 241 1.8× 622 4.8× 211 1.8× 439 4.6× 57 1.5k
Sandra De Iaco Italy 18 632 2.0× 232 1.7× 223 1.7× 272 2.3× 111 1.2× 67 968
Gabriel Huerta United States 11 93 0.3× 78 0.6× 243 1.9× 82 0.7× 216 2.3× 24 581
Bruno Sansó United States 16 131 0.4× 91 0.7× 414 3.2× 74 0.6× 208 2.2× 39 1.0k
Gardar Johannesson United States 10 496 1.6× 272 2.0× 310 2.4× 230 1.9× 205 2.2× 19 1.1k
Hidekazu Yoshioka Japan 13 108 0.3× 37 0.3× 238 1.8× 74 0.6× 42 0.4× 129 703
Michel David Canada 9 438 1.4× 300 2.2× 55 0.4× 47 0.4× 43 0.5× 29 778

Countries citing papers authored by Joseph Guinness

Since Specialization
Citations

This map shows the geographic impact of Joseph Guinness'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 Joseph Guinness with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Guinness more than expected).

Fields of papers citing papers by Joseph Guinness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph Guinness. 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 Joseph Guinness. The network helps show where Joseph Guinness may publish in the future.

Co-authorship network of co-authors of Joseph Guinness

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Guinness. A scholar is included among the top collaborators of Joseph Guinness based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joseph Guinness. Joseph Guinness is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Murphy, Sarah I., Ruixi Chen, Wei Chen, et al.. (2024). Application of Mechanistic Models and the Gaussian Process Model to Predict Bacterial Growth on Baby Spinach During Refrigerated Storage. Journal of Food Protection. 88(1). 100417–100417. 3 indexed citations
2.
Guinness, Joseph, et al.. (2024). A Gaussian-process approximation to a spatial SIR process using moment closures and emulators. Biometrics. 80(3). 1 indexed citations
3.
Guinness, Joseph, et al.. (2024). Implementation and analysis of GPU algorithms for Vecchia Approximation. Statistics and Computing. 34(6).
4.
Guinness, Joseph, et al.. (2023). Estimating atmospheric motion winds from satellite image data using space‐time drift models. Environmetrics. 34(8). 1 indexed citations
5.
Guinness, Joseph, et al.. (2023). Comparison of CYGNSS and Jason-3 Wind Speed Measurements via Gaussian Processes. 2(1). 1 indexed citations
6.
Booth, James G., et al.. (2023). Sample Size for Estimating Disease Prevalence in Free-Ranging Wildlife Populations: A Bayesian Modeling Approach. Journal of Agricultural Biological and Environmental Statistics. 29(3). 438–454. 2 indexed citations
7.
Carstensen, Michelle, Daniel P. Walsh, Daniel J. Storm, et al.. (2022). Informing Surveillance through the Characterization of Outbreak Potential of Chronic Wasting Disease in White-Tailed Deer. Ecological Modelling. 471. 110054–110054. 4 indexed citations
8.
Guinness, Joseph, et al.. (2022). Vecchia Approximations and Optimization for Multivariate Matérn Models. Journal of Data Science. 475–492.
9.
Hamilton, Douglas S., Rachel A. Scanza, Yan Feng, et al.. (2019). Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0). Geoscientific model development. 12(9). 3835–3862. 56 indexed citations
10.
Sharma, Aakriti, Joseph Guinness, Matthew L. Polizzotto, et al.. (2019). Multi-element effects on arsenate accumulation in a geochemical matrix determined using µ-XRF, µ-XANES and spatial statistics. Journal of Synchrotron Radiation. 26(6). 1967–1979. 9 indexed citations
11.
Giudice, Dario Del, Donald Scavia, Caren E. Binding, et al.. (2019). A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent. The Science of The Total Environment. 695. 133776–133776. 39 indexed citations
12.
Guinness, Joseph. (2019). Spectral density estimation for random fields via periodic embeddings. Biometrika. 106(2). 267–286. 12 indexed citations
13.
Guinness, Joseph, et al.. (2018). Space-Time Geostatistical Assessment of Hypoxia in the Northern Gulf of Mexico. Environmental Science & Technology. 52(21). 12484–12493. 25 indexed citations
14.
Heaton, Matthew J., Abhirup Datta, Andrew O. Finley, et al.. (2018). A Case Study Competition Among Methods for Analyzing Large Spatial Data. Journal of Agricultural Biological and Environmental Statistics. 24(3). 398–425. 241 indexed citations
15.
Guinness, Joseph, et al.. (2018). A TEST FOR ISOTROPY ON A SPHERE USING SPHERICAL HARMONIC FUNCTIONS. Statistica Sinica. 2 indexed citations
16.
Guinness, Joseph. (2018). Permutation and Grouping Methods for Sharpening Gaussian Process Approximations. Technometrics. 60(4). 415–429. 89 indexed citations
17.
Reich, Brian J., Joseph Guinness, Simon Vandekar, Russell T. Shinohara, & Ana‐Maria Staicu. (2017). Fully Bayesian Spectral Methods for Imaging Data. Biometrics. 74(2). 645–652. 6 indexed citations
18.
Guinness, Joseph & Montserrat Fuentes. (2016). Circulant Embedding of Approximate Covariances for Inference From Gaussian Data on Large Lattices. Journal of Computational and Graphical Statistics. 26(1). 88–97. 20 indexed citations
19.
Guinness, Joseph & Montserrat Fuentes. (2015). Isotropic covariance functions on spheres: Some properties and modeling considerations. Journal of Multivariate Analysis. 143. 143–152. 52 indexed citations
20.
Guinness, Joseph, Montserrat Fuentes, Dean Hesterberg, & Matthew L. Polizzotto. (2014). Multivariate spatial modeling of conditional dependence in microscale soil elemental composition data. Spatial Statistics. 9. 93–108. 8 indexed citations

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.

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Breakdown of academic impact, for papers by B. M. Davis Breakdown of academic impact, for papers by D. Posa Breakdown of academic impact, for papers by K. F. Turkman Breakdown of academic impact, for papers by William Kleiber Breakdown of academic impact, for papers by Sandra De Iaco Breakdown of academic impact, for papers by Gabriel Huerta Breakdown of academic impact, for papers by Bruno Sansó Breakdown of academic impact, for papers by Gardar Johannesson Breakdown of academic impact, for papers by Hidekazu Yoshioka Breakdown of academic impact, for papers by Michel David
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