D. Posa
Impact in
- Environmental Engineering top 1%
- Soil Geostatistics and Mapping
- Remote Sensing and LiDAR Applications
- Global and Planetary Change top 5%
- Atmospheric and Environmental Gas Dynamics
Papers in
-
- Soil Geostatistics and Mapping 49
- Remote Sensing and LiDAR Applications 10
-
- Spatial and Panel Data Analysis 30
- Regional Economic and Spatial Analysis 4
- Economic and Environmental Valuation 4
- Co-authors
- Sandra De Iaco (38 shared papers)Donald E. Myers (17 shared papers)L. De Cesare (6 shared papers)Monica Palma (11 shared papers)André G. Journel (1 shared paper)Mario E. Rossi (3 shared papers)Pasquale Sarnacchiaro (1 shared paper)Matteo Rossi (1 shared paper)
- Journals
- Stochastic Environmental Research and Risk Assessment (8 papers)Spatial Statistics (7 papers)Computers & Geosciences (4 papers)Computational Statistics & Data Analysis (4 papers)Mathematical Geosciences (3 papers)
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
D. Posa
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Environmental Engineering 934
- Global and Planetary Change 321
- Economics and Econometrics 399
- Applied Mathematics 117
- Statistics and Probability 85
Countries citing papers authored by D. Posa
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
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-authors
The 11 scholars most cited alongside D. Posa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 152 | |
| 2 | 2001 | 143 | |
| 3 | 2002 | 110 | |
| 4 | 2000 | 77 | |
| 5 | 2002 | 70 | |
| 6 | 2002 | 60 | |
| 7 | 1990 | 52 | |
| 8 | 2003 | 44 | |
| 9 | 2002 | 35 | |
| 10 | 2011 | 34 | |
| 11 | 2012 | 34 | |
| 12 | 2013 | 32 | |
| 13 | 2010 | 30 | |
| 14 | 1997 | 29 | |
| 15 | 1993 | 28 | |
| 16 | 2017 | 27 | |
| 17 | 2004 | 27 | |
| 18 | 1989 | 26 | |
| 19 | 2017 | 25 | |
| 20 | 2010 | 23 |
About D. Posa
D. Posa is a scholar working on Environmental Engineering, Economics and Econometrics, Artificial Intelligence, Applied Mathematics and Statistics and Probability, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (49 papers), Spatial and Panel Data Analysis (30 papers), Remote Sensing and LiDAR Applications (10 papers), Statistical and numerical algorithms (10 papers), Geochemistry and Geologic Mapping (9 papers), Advanced Statistical Methods and Models (6 papers), Regional Economic and Spatial Analysis (4 papers) and Economic and Environmental Valuation (4 papers). The work is most often cited by research in Environmental Engineering (934 citations), Global and Planetary Change (321 citations), Economics and Econometrics (399 citations), Applied Mathematics (117 citations) and Statistics and Probability (85 citations). D. Posa has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Sandra De Iaco, Donald E. Myers, L. De Cesare, Monica Palma, André G. Journel, Mario E. Rossi, Pasquale Sarnacchiaro, Matteo Rossi, Matilde Bini and Maurizio Carpita. Their work appears in journals such as Stochastic Environmental Research and Risk Assessment, Spatial Statistics, Computers & Geosciences, Computational Statistics & Data Analysis and Mathematical Geosciences.
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.