P.F. Verdes
Impact in
- Atmospheric Science top 5%
- Geology and Paleoclimatology Research
- Tree-ring climate responses
- Earth-Surface Processes top 5%
Papers in
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- Neural Networks and Applications 8
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- Time Series Analysis and Forecasting 7
- Co-authors
- Pablo M. Granitto (20 shared papers)H. A. Ceccatto (14 shared papers)Augusto Mangini (3 shared papers)Christoph Spötl (3 shared papers)H. D. Navone (9 shared papers)Lucas C. Uzal (3 shared papers)Guillermo L. Grinblat (2 shared papers)Denis Scholz (2 shared papers)
In The Last Decade
P.F. Verdes
27 papers receiving 935 citations
Peers
Comparison fields: 5 of 116
- Atmospheric Science 328
- Earth-Surface Processes 110
- Analytical Chemistry 146
- Paleontology 75
- Signal Processing 59
Countries citing papers authored by P.F. Verdes
This map shows the geographic impact of P.F. Verdes'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 P.F. Verdes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.F. Verdes more than expected).
Fields of papers citing papers by P.F. Verdes
This network shows the impact of papers produced by P.F. Verdes. 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 P.F. Verdes. The network helps show where P.F. Verdes may publish in the future.
Co-authors
The 12 scholars most cited alongside P.F. Verdes, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 225 | |
| 2 | 2004 | 131 | |
| 3 | 2002 | 111 | |
| 4 | 2005 | 98 | |
| 5 | 2004 | 90 | |
| 6 | 2007 | 49 | |
| 7 | 2001 | 36 | |
| 8 | 2011 | 30 | |
| 9 | 2007 | 25 | |
| 10 | 2007 | 24 | |
| 11 | Boosting classifiers for weed seeds identification | 2003 | 22 |
| 12 | 2006 | 18 | |
| 13 | 2003 | 18 | |
| 14 | 2001 | 16 | |
| 15 | 2014 | 15 | |
| 16 | Automatic identification of weed seeds by color image processing | 2000 | 12 |
| 17 | 2000 | 12 | |
| 18 | 2002 | 12 | |
| 19 | Frost prediction with machine learning techniques | 2000 | 10 |
| 20 | 2003 | 10 |
About P.F. Verdes
P.F. Verdes is a scholar working on Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics, Atmospheric Science and Economics and Econometrics, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Time Series Analysis and Forecasting (7 papers), Complex Systems and Time Series Analysis (5 papers), Face and Expression Recognition (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Solar and Space Plasma Dynamics (4 papers), Smart Agriculture and AI (4 papers) and Geology and Paleoclimatology Research (3 papers). The work is most often cited by research in Atmospheric Science (328 citations), Earth-Surface Processes (110 citations), Analytical Chemistry (146 citations), Paleontology (75 citations) and Signal Processing (59 citations). P.F. Verdes has collaborated with scholars based in Argentina, Germany and Austria. Frequent co-authors include Pablo M. Granitto, H. A. Ceccatto, Augusto Mangini, Christoph Spötl, H. D. Navone, Lucas C. Uzal, Guillermo L. Grinblat, Denis Scholz, Bernd Kromer and Rubén D. Piacentini. Their work appears in journals such as Solar Physics, Physical Review Letters, Computers and Electronics in Agriculture, International Journal of Neural Systems and Physica A Statistical Mechanics and its Applications.
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.