Luis Timbe

448 total citations
28 papers, 339 citations indexed

About

Luis Timbe is a scholar working on Water Science and Technology, Global and Planetary Change and Ecology. According to data from OpenAlex, Luis Timbe has authored 28 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Water Science and Technology, 16 papers in Global and Planetary Change and 11 papers in Ecology. Recurrent topics in Luis Timbe's work include Hydrology and Watershed Management Studies (19 papers), Flood Risk Assessment and Management (15 papers) and Hydrology and Sediment Transport Processes (11 papers). Luis Timbe is often cited by papers focused on Hydrology and Watershed Management Studies (19 papers), Flood Risk Assessment and Management (15 papers) and Hydrology and Sediment Transport Processes (11 papers). Luis Timbe collaborates with scholars based in Ecuador, Belgium and United States. Luis Timbe's co-authors include Juan Pinos, Rolando Célleri, Wouter Buytaert, Edison Timbe, Jan Feyen, Andrés Alvarado, Daniel Orellana, Patricio Crespo, Patrick Willems and Esteban Morcillo Sánchez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Luis Timbe

25 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis Timbe Ecuador 8 242 208 83 54 51 28 339
Peter Oberle Germany 8 294 1.2× 153 0.7× 82 1.0× 50 0.9× 46 0.9× 30 416
Shiblu Sarker United States 9 173 0.7× 163 0.8× 44 0.5× 73 1.4× 61 1.2× 11 302
Katie Muchan United Kingdom 9 262 1.1× 181 0.9× 72 0.9× 43 0.8× 48 0.9× 16 342
Rajarshi Mukherjee United States 4 211 0.9× 144 0.7× 111 1.3× 21 0.4× 42 0.8× 6 294
Balaji Rajagopalan United States 9 231 1.0× 123 0.6× 177 2.1× 49 0.9× 55 1.1× 18 381
Chongxun Mo China 12 287 1.2× 241 1.2× 114 1.4× 26 0.5× 83 1.6× 54 409
Ryan S. Padrón Switzerland 8 383 1.6× 248 1.2× 144 1.7× 40 0.7× 72 1.4× 15 518
Mingfang Zhang China 5 256 1.1× 222 1.1× 66 0.8× 55 1.0× 34 0.7× 11 334
Bruno Büchele Germany 3 270 1.1× 138 0.7× 72 0.9× 43 0.8× 34 0.7× 3 321
E. P. Rao India 11 286 1.2× 158 0.8× 147 1.8× 39 0.7× 63 1.2× 19 401

Countries citing papers authored by Luis Timbe

Since Specialization
Citations

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

Fields of papers citing papers by Luis Timbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Timbe

This figure shows the co-authorship network connecting the top 25 collaborators of Luis Timbe. A scholar is included among the top collaborators of Luis Timbe 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 Luis Timbe. Luis Timbe 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.
2.
Sánchez, Esteban Morcillo, et al.. (2022). Physics-Informed Neural Network water surface predictability for 1D steady-state open channel cases with different flow types and complex bed profile shapes. Advanced Modeling and Simulation in Engineering Sciences. 9(1). 17 indexed citations
3.
Crespo, Patricio, et al.. (2022). Applying hydrological modeling to unravel the effects of land use change on the runoff of a paramo ecosystem. SHILAP Revista de lepidopterología. 89(221). 68–77. 3 indexed citations
4.
Sánchez, Esteban Morcillo, et al.. (2021). Patterns of Difference between Physical and 1-D Calibrated Effective Roughness Parameters in Mountain Rivers. Water. 13(22). 3202–3202. 2 indexed citations
5.
Sánchez, Esteban Morcillo, et al.. (2021). Resistance Analysis of Morphologies in Headwater Mountain Streams. Water. 13(16). 2207–2207. 2 indexed citations
6.
Petrie, John, et al.. (2021). Validation of an Experimental Procedure to Determine Bedload Transport Rates in Steep Channels with Coarse Sediment. Water. 13(5). 672–672. 5 indexed citations
7.
Pinos, Juan, Daniel Orellana, & Luis Timbe. (2020). Assessment of microscale economic flood losses in urban and agricultural areas: case study of the Santa Bárbara River, Ecuador. Natural Hazards. 103(2). 2323–2337. 13 indexed citations
8.
Timbe, Luis, et al.. (2019). Evaluation of the HEC-HMS model for the hydrological simulation of a paramo basin. DYNA. 86(210). 338–344. 4 indexed citations
9.
Pinos, Juan, Luis Timbe, & Edison Timbe. (2019). Evaluation of 1D hydraulic models for the simulation of mountain fluvial floods: a case study of the Santa Bárbara River in Ecuador. Water Practice & Technology. 14(2). 341–354. 17 indexed citations
10.
Petrie, John, et al.. (2019). Characterization of Bedload Sediment Transport in High Slope Rivers Using Hydraulic Geometry Theory. Repositorio Institucional (Universidad de Cuenca). 5. 129–143.
11.
Timbe, Luis, et al.. (2018). Unidimensional, non-stationary modeling of a high mountain river in southern Ecuador. SHILAP Revista de lepidopterología. 9(2). 67–74. 1 indexed citations
12.
Timbe, Edison, Jan Feyen, Luis Timbe, et al.. (2017). Multicriteria assessment of water dynamics reveals subcatchment variability in a seemingly homogeneous tropical cloud forest catchment. Hydrological Processes. 31(7). 1456–1468. 5 indexed citations
13.
Pinos, Juan, Luis Timbe, & Daniel Orellana. (2017). Métodos para la evaluación del riesgo de inundación fluvial: revisión de literatura y propuesta metodológica para Ecuador. SHILAP Revista de lepidopterología. 8(2). 147–162. 4 indexed citations
14.
Timbe, Edison, David Windhorst, Rolando Célleri, et al.. (2015). Sampling frequency trade-offs in the assessment of mean transit times of tropical montane catchment waters under semi-steady-state conditions. Hydrology and earth system sciences. 19(3). 1153–1168. 17 indexed citations
15.
Timbe, Luis & Edison Timbe. (2012). Mapeo del peligro de inundación en ríos de montaña, caso de estudio del río Burgay. SHILAP Revista de lepidopterología. 3(1). 87–96. 2 indexed citations
16.
Timbe, Luis & Patrick J. Willems. (2011). Desempeño de modelos hidráulicos 1D y 2D para la simulación de inundaciones Lus Timbe. Americanae (AECID Library). 2(1). 91–98. 4 indexed citations
17.
Willems, Patrick, Luis Timbe, S.M. Thompson, et al.. (2003). FAME: Flood risk and damage assessment using modelling and earth observation techniques. Ghent University Academic Bibliography (Ghent University). 3 indexed citations
18.
Timbe, Luis, et al.. (2003). Night irrigation reduction for water saving in medium-sized systems. Irrigation and Drainage. 129(2). 108–116. 3 indexed citations
19.
Célleri, Rolando, et al.. (2003). Assessment of the relation between the NAM rainfall-runoff model parameters and the physical catchment properties. HIP-VI UNESCO. 66. 9–16. 1 indexed citations
20.
Willems, Patrick, et al.. (2001). Methodology for River Flood Modelling by the Quasi Two-Dimensional Approach. 1–9. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Peter Oberle Breakdown of academic impact, for papers by Shiblu Sarker Breakdown of academic impact, for papers by Katie Muchan Breakdown of academic impact, for papers by Rajarshi Mukherjee Breakdown of academic impact, for papers by Balaji Rajagopalan Breakdown of academic impact, for papers by Chongxun Mo Breakdown of academic impact, for papers by Ryan S. Padrón Breakdown of academic impact, for papers by Mingfang Zhang Breakdown of academic impact, for papers by Bruno Büchele Breakdown of academic impact, for papers by E. P. Rao
Rankless by CCL
2026