Jorge Mateu
Impact in
- Environmental Engineering top 0.5%
- Soil Geostatistics and Mapping
- Remote Sensing and LiDAR Applications
- Applied Mathematics top 1%
- Point processes and geometric inequalities
Papers in
-
- Soil Geostatistics and Mapping 103
- Remote Sensing and LiDAR Applications 18
-
- Spatial and Panel Data Analysis 86
- Economic and Environmental Valuation 19
- Co-authors
- Ramón Giraldo (22 shared papers)Emilio Porcu (30 shared papers)Pedro Delicado (11 shared papers)C. Comas (12 shared papers)Peter J. Diggle (3 shared papers)Pablo Gregori (9 shared papers)Francisco Montes (15 shared papers)Helen E. Clough (2 shared papers)
In The Last Decade
Jorge Mateu
256 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 167
- Environmental Engineering 1.2k
- Applied Mathematics 693
- Statistics and Probability 401
- Economics and Econometrics 878
- Geometry and Topology 275
Countries citing papers authored by Jorge Mateu
This map shows the geographic impact of Jorge Mateu'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 Jorge Mateu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Mateu more than expected).
Fields of papers citing papers by Jorge Mateu
This network shows the impact of papers produced by Jorge Mateu. 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 Jorge Mateu. The network helps show where Jorge Mateu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jorge Mateu, 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 277 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 143 | |
| 2 | 2010 | 121 | |
| 3 | 2000 | 106 | |
| 4 | 2012 | 104 | |
| 5 | 2017 | 91 | |
| 6 | 2004 | 83 | |
| 7 | 2016 | 76 | |
| 8 | 2006 | 73 | |
| 9 | 2013 | 63 | |
| 10 | 2012 | 62 | |
| 11 | 2010 | 60 | |
| 12 | 1998 | 57 | |
| 13 | 2007 | 56 | |
| 14 | 2012 | 55 | |
| 15 | 2013 | 54 | |
| 16 | 2010 | 53 | |
| 17 | 2015 | 51 | |
| 18 | 2022 | 50 | |
| 19 | 1997 | 49 | |
| 20 | 2004 | 49 |
About Jorge Mateu
Jorge Mateu is a scholar working on Environmental Engineering, Economics and Econometrics, Applied Mathematics, Geometry and Topology and Artificial Intelligence, having authored 277 papers that have together received 3.6k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (103 papers), Point processes and geometric inequalities (88 papers), Spatial and Panel Data Analysis (86 papers), Morphological variations and asymmetry (47 papers), Data-Driven Disease Surveillance (26 papers), Bayesian Methods and Mixture Models (20 papers), Economic and Environmental Valuation (19 papers) and Remote Sensing and LiDAR Applications (18 papers). The work is most often cited by research in Environmental Engineering (1.2k citations), Applied Mathematics (693 citations), Statistics and Probability (401 citations), Economics and Econometrics (878 citations) and Geometry and Topology (275 citations). Jorge Mateu has collaborated with scholars based in Spain, Italy and Colombia. Frequent co-authors include Ramón Giraldo, Emilio Porcu, Pedro Delicado, C. Comas, Peter J. Diggle, Pablo Gregori, Francisco Montes, Helen E. Clough, Moreno Bevilacqua and Mehdi Moradi. Their work appears in journals such as Stochastic Environmental Research and Risk Assessment, Spatial Statistics, Environmetrics, Test and Journal of Agricultural Biological and Environmental Statistics.
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.