Andres M. Ticlavilca
- Environmental Engineering top 5%
- Ecology top 10%
- Global and Planetary Change top 10%
- Plant Science
- Water Science and Technology top 10%
- Co-authors
- Mac McKeeAlfonso F. Torres‐RuaWynn R. WalkerAustin M. JensenMartin McKeeLeila Hassan-EsfahaniDillon M. FeuzMahyar Aboutalebi
- Topics
- Hydrological Forecasting Using AI (5 papers)Hydrology and Watershed Management Studies (5 papers)Plant Water Relations and Carbon Dynamics (5 papers)
- Journals
- Hydrological ProcessesInternational Journal of Applied Earth Observation and GeoinformationWater Resources Management
- Partner nations
- United StatesSpain
In The Last Decade
Andres M. Ticlavilca
13 papers receiving 423 citations
Peers
Comparison fields: 5 of 70
- Environmental Engineering 197
- Ecology 155
- Global and Planetary Change 150
- Plant Science 111
- Water Science and Technology 99
Countries citing papers authored by Andres M. Ticlavilca
This map shows the geographic impact of Andres M. Ticlavilca'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 Andres M. Ticlavilca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andres M. Ticlavilca more than expected).
Fields of papers citing papers by Andres M. Ticlavilca
This network shows the impact of papers produced by Andres M. Ticlavilca. 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 Andres M. Ticlavilca. The network helps show where Andres M. Ticlavilca may publish in the future.
Co-authorship network of co-authors of Andres M. Ticlavilca
This figure shows the co-authorship network connecting the top 25 collaborators of Andres M. Ticlavilca. A scholar is included among the top collaborators of Andres M. Ticlavilca 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 Andres M. Ticlavilca. Andres M. Ticlavilca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 84 | |
| 4 | 23 | |
| 5 | 21 | |
| 6 | 146 | |
| 7 | 34 | |
| 8 | 20 | |
| 9 | 15 | |
| 10 | Wavelet-based Evapotranspiration Forecasts | 1 |
| 11 | 14 | |
| 12 | 16 | |
| 13 | Forecasting Agricultural Commodity Prices Using Multivariate Bayesian Machine Learning Regression | 15 |
| 14 | 34 | |
| 15 | 0 | |
| 16 | Sparse Bayesian regression approach to forecast agricultural commodity prices | 0 |
About Andres M. Ticlavilca
Andres M. Ticlavilca is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change, having authored 16 papers that have together received 433 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (5 papers), Hydrology and Watershed Management Studies (5 papers) and Plant Water Relations and Carbon Dynamics (5 papers). The work is most often cited by research in Environmental Engineering (197 citations), Water Science and Technology (99 citations) and Global and Planetary Change (150 citations). Andres M. Ticlavilca has collaborated with scholars based in United States and Spain. Frequent co-authors include Mac McKee, Alfonso F. Torres‐Rua, Wynn R. Walker, Austin M. Jensen, Martin McKee, Leila Hassan-Esfahani, Dillon M. Feuz, Mahyar Aboutalebi, William P. Kustas and Nick Dokoozlian. Their work appears in journals such as Hydrological Processes, International Journal of Applied Earth Observation and Geoinformation and Water Resources Management.
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.