D. Posa

1.8k total citations
54 papers, 1.2k citations indexed

About

D. Posa is a scholar working on Environmental Engineering, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, D. Posa has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Environmental Engineering, 26 papers in Economics and Econometrics and 10 papers in Artificial Intelligence. Recurrent topics in D. Posa's work include Soil Geostatistics and Mapping (43 papers), Spatial and Panel Data Analysis (24 papers) and Statistical and numerical algorithms (10 papers). D. Posa is often cited by papers focused on Soil Geostatistics and Mapping (43 papers), Spatial and Panel Data Analysis (24 papers) and Statistical and numerical algorithms (10 papers). D. Posa collaborates with scholars based in Italy, United States and Canada. D. Posa's co-authors include Sandra De Iaco, Donald E. Myers, L. De Cesare, Monica Palma, André G. Journel, Mario E. Rossi, Maurizio Carpita, Denis Marcotte, Matilde Bini and Pasquale Sarnacchiaro and has published in prestigious journals such as Environmental Science & Technology, Journal of Statistical Software and Computers & Geosciences.

In The Last Decade

D. Posa

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Posa Italy 20 820 345 292 261 164 54 1.2k
Sandra De Iaco Italy 18 632 0.8× 272 0.8× 223 0.8× 232 0.9× 111 0.7× 67 968
William Kleiber United States 19 531 0.6× 211 0.6× 622 2.1× 241 0.9× 439 2.7× 57 1.5k
Andrew Zammit‐Mangion Australia 15 351 0.4× 168 0.5× 338 1.2× 223 0.9× 339 2.1× 66 1.4k
Matthias Katzfuß United States 15 539 0.7× 257 0.7× 405 1.4× 405 1.6× 264 1.6× 41 1.5k
Abhirup Datta United States 15 590 0.7× 262 0.8× 193 0.7× 291 1.1× 102 0.6× 57 1.2k
Gardar Johannesson United States 10 496 0.6× 230 0.7× 310 1.1× 272 1.0× 205 1.3× 19 1.1k
Raphaël Huser Saudi Arabia 20 302 0.4× 230 0.7× 782 2.7× 105 0.4× 281 1.7× 71 1.5k
Joseph Guinness United States 12 314 0.4× 120 0.3× 130 0.4× 135 0.5× 95 0.6× 40 688
Dorit Hammerling United States 16 356 0.4× 160 0.5× 617 2.1× 211 0.8× 436 2.7× 56 1.2k
Doug Nychka United States 21 398 0.5× 190 0.6× 1.2k 4.0× 183 0.7× 853 5.2× 38 2.0k

Countries citing papers authored by D. Posa

Since Specialization
Citations

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

Fields of papers citing papers by D. Posa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Posa

This figure shows the co-authorship network connecting the top 25 collaborators of D. Posa. A scholar is included among the top collaborators of D. Posa 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 D. Posa. D. Posa 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.
Iaco, Sandra De, et al.. (2025). A term structure geostatistical model with correlated residuals: A comparative analysis. Spatial Statistics. 67. 100886–100886.
2.
Iaco, Sandra De & D. Posa. (2025). Characteristics of some isotropic covariance models with negative values. Spatial Statistics. 68. 100905–100905.
3.
Posa, D.. (2025). Covariance models through difference between Matérn families. Stochastic Environmental Research and Risk Assessment. 39(4). 1345–1358. 1 indexed citations
4.
Posa, D.. (2023). Special classes of isotropic covariance functions. Stochastic Environmental Research and Risk Assessment. 37(4). 1615–1633. 6 indexed citations
5.
Posa, D.. (2023). Revised and wider classes of isotropic space-time covariance functions. Stochastic Environmental Research and Risk Assessment. 37(12). 4941–4962.
6.
Posa, D.. (2023). Positive definite functions, stationary covariance functions, and Bochner’s theorem: Some results and a critical overview. Communication in Statistics- Theory and Methods. 53(15). 5612–5628.
7.
Iaco, Sandra De, et al.. (2020). On Some Characteristics of Gaussian Covariance Functions. International Statistical Review. 89(1). 36–53. 8 indexed citations
8.
Iaco, Sandra De & D. Posa. (2017). Strict positive definiteness in geostatistics. Stochastic Environmental Research and Risk Assessment. 32(3). 577–590. 21 indexed citations
9.
Palma, Monica, et al.. (2016). A general procedure for selecting a class of fully symmetric space‐time covariance functions. Environmetrics. 27(4). 212–224. 13 indexed citations
10.
Iaco, Sandra De, Monica Palma, & D. Posa. (2015). Spatio-temporal geostatistical modeling for French fertility predictions. Spatial Statistics. 14. 546–562. 19 indexed citations
11.
Iaco, Sandra De, Monica Palma, & D. Posa. (2012). Prediction of particle pollution through spatio-temporal multivariate geostatistical analysis: spatial special issue. AStA Advances in Statistical Analysis. 97(2). 133–150. 10 indexed citations
12.
Iaco, Sandra De, et al.. (2011). Towards an automatic procedure for modeling multivariate space–time data. Computers & Geosciences. 41. 1–11. 18 indexed citations
13.
Iaco, Sandra De, Monica Palma, & D. Posa. (2004). Modeling and prediction of multivariate space–time random fields. Computational Statistics & Data Analysis. 48(3). 525–547. 26 indexed citations
14.
Myers, Donald E., Sandra De Iaco, D. Posa, & L. De Cesare. (2002). Space-time radial basis functions. Computers & Mathematics with Applications. 43(3-5). 539–549. 33 indexed citations
15.
Cesare, L. De, Donald E. Myers, & D. Posa. (2001). Estimating and modeling space–time correlation structures. Statistics & Probability Letters. 51(1). 9–14. 128 indexed citations
16.
Rossi, Mario E. & D. Posa. (1992). A non-parametric bivariate entropy estimator for spatial processes. Mathematical Geology. 24(5). 539–553. 5 indexed citations
17.
Posa, D.. (1991). Limiting stochastic operations for stationary spatial processes. Mathematical Geology. 23(5). 695–702. 5 indexed citations
18.
Journel, André G. & D. Posa. (1990). Characteristic behavior and order relations for indicator variograms. Mathematical Geology. 22(8). 1011–1025. 45 indexed citations
19.
Rossi, Mario E. & D. Posa. (1990). 3-D mapping of dissolved oxygen in Mar Piccolo: A case study. Environmental Geology. 16(3). 209–219. 3 indexed citations
20.
Posa, D.. (1989). Conditioning of the stationary kriging matrices for some well-known covariance models. Mathematical Geology. 21(7). 755–765. 23 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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