Francisco Olivera

2.7k total citations
66 papers, 2.1k citations indexed

About

Francisco Olivera is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Francisco Olivera has authored 66 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Global and Planetary Change, 40 papers in Water Science and Technology and 21 papers in Atmospheric Science. Recurrent topics in Francisco Olivera's work include Hydrology and Watershed Management Studies (38 papers), Flood Risk Assessment and Management (24 papers) and Hydrology and Sediment Transport Processes (15 papers). Francisco Olivera is often cited by papers focused on Hydrology and Watershed Management Studies (38 papers), Flood Risk Assessment and Management (24 papers) and Hydrology and Sediment Transport Processes (15 papers). Francisco Olivera collaborates with scholars based in United States, South Korea and Spain. Francisco Olivera's co-authors include David R. Maidment, Jennifer L. Irish, Huidae Cho, Venkatesh Merwade, Mazdak Arabi, Dongkyun Kim, Ashley E. Frey, Billy L. Edge, Matthew Rodell and Benjamin F. Zaitchik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and European Journal of Operational Research.

In The Last Decade

Francisco Olivera

65 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisco Olivera United States 24 1.3k 1.2k 582 403 335 66 2.1k
G. S. Dwarakish India 20 1.1k 0.8× 973 0.8× 415 0.7× 655 1.6× 301 0.9× 67 2.2k
Duong Tran Anh Vietnam 30 1.1k 0.8× 778 0.6× 335 0.6× 792 2.0× 356 1.1× 87 2.3k
Giuseppe Tito Aronica Italy 27 2.4k 1.9× 1.7k 1.4× 812 1.4× 451 1.1× 363 1.1× 67 2.9k
M. Lang France 30 3.1k 2.5× 1.9k 1.5× 1.2k 2.0× 323 0.8× 461 1.4× 89 3.8k
Jingming Hou China 26 1.3k 1.1× 867 0.7× 816 1.4× 610 1.5× 313 0.9× 148 2.4k
Yagob Dinpashoh Iran 26 2.6k 2.0× 1.2k 1.0× 706 1.2× 705 1.7× 175 0.5× 59 3.5k
Luís Cea Spain 31 1.7k 1.3× 1.3k 1.1× 734 1.3× 639 1.6× 719 2.1× 105 2.9k
Thanh Duc Dang Vietnam 26 896 0.7× 982 0.8× 210 0.4× 588 1.5× 427 1.3× 63 2.1k
Markus Disse Germany 32 2.2k 1.7× 1.7k 1.4× 1.0k 1.8× 801 2.0× 302 0.9× 120 3.4k
Tie Liu China 30 2.0k 1.5× 1.2k 1.0× 901 1.5× 440 1.1× 460 1.4× 149 3.1k

Countries citing papers authored by Francisco Olivera

Since Specialization
Citations

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

Fields of papers citing papers by Francisco Olivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Olivera

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Olivera. A scholar is included among the top collaborators of Francisco Olivera 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 Francisco Olivera. Francisco Olivera 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.
Yang, Mingyue & Francisco Olivera. (2023). Classification of watersheds in the conterminous United States using shape-based time-series clustering and Random Forests. Journal of Hydrology. 620. 129409–129409. 11 indexed citations
2.
Olivera, Francisco, et al.. (2022). Unit Hydrograph Peak Rate Factor Estimation for Texas Watersheds. Journal of Hydrologic Engineering. 27(11). 4 indexed citations
3.
Olivera, Francisco, et al.. (2021). Unit Hydrograph Peak Rate Factor Estimation for Houston Watersheds. 18. 535–544. 1 indexed citations
4.
Mohtar, Rabi H., et al.. (2019). Holistic Water-Energy-Food Nexus for Guiding Water Resources Planning: Matagorda County, Texas Case. Frontiers in Environmental Science. 7. 23 indexed citations
5.
Olivera, Francisco, et al.. (2017). Analysis of downscaled climatic simulations to infer future changes on high precipitation in Spain. International Journal of River Basin Management. 15(2). 161–173. 2 indexed citations
6.
García‐Marín, A. P., José Roldán Cañas, Javier Estévez, et al.. (2014). La hidrología y su papel en ingeniería del agua. SHILAP Revista de lepidopterología. 2 indexed citations
7.
Kim, Dongkyun, Francisco Olivera, & Huidae Cho. (2013). Effect of the inter-annual variability of rainfall statistics on stochastically generated rainfall time series: part 1. Impact on peak and extreme rainfall values. Stochastic Environmental Research and Risk Assessment. 27(7). 1601–1610. 23 indexed citations
8.
Cho, Huidae, Dongkyun Kim, Francisco Olivera, & Seth D. Guikema. (2011). Enhanced speciation in particle swarm optimization for multi-modal problems. European Journal of Operational Research. 213(1). 15–23. 38 indexed citations
9.
Kim, Dongkyun & Francisco Olivera. (2011). Relative Importance of the Different Rainfall Statistics in the Calibration of Stochastic Rainfall Generation Models. Journal of Hydrologic Engineering. 17(3). 368–376. 26 indexed citations
10.
Zaitchik, Benjamin F., Matthew Rodell, & Francisco Olivera. (2010). Evaluation of the Global Land Data Assimilation System using global river discharge data and a source‐to‐sink routing scheme. Water Resources Research. 46(6). 123 indexed citations
11.
Olivera, Francisco, et al.. (2009). Storm Identification and Tracking Algorithm for Modeling of Rainfall Fields Using 1-h NEXRAD Rainfall Data in Texas. Journal of Hydrologic Engineering. 14(7). 721–730. 10 indexed citations
12.
Olivera, Francisco, et al.. (2008). Floodplain Delineation of the Ranillas Meander in Zaragoza Using GUAD-2D. 1–1. 2 indexed citations
13.
Olivera, Francisco, et al.. (2008). Estimation of Average Rainfall Areal Reduction Factors in Texas Using NEXRAD Data. Journal of Hydrologic Engineering. 13(6). 438–448. 30 indexed citations
14.
Barrett, Michael E., et al.. (2007). Documenting Stormwater Quality on Texas Highways and Adjacent Vegetated Roadsides. Journal of Environmental Engineering. 134(1). 48–59. 38 indexed citations
15.
Olivera, Francisco, et al.. (2004). Hydrodynamic Dispersive and Advective Processes in Watershed Responses. Journal of Hydrologic Engineering. 9(6). 534–543. 6 indexed citations
16.
Olivera, Francisco, et al.. (2003). DEVELOPMENT OF LARGE SCALE GRIDDED RIVER NETWORKS FROM VECTOR STREAM DATA1. JAWRA Journal of the American Water Resources Association. 39(5). 1235–1248. 19 indexed citations
17.
Olivera, Francisco & David R. Maidment. (1999). System of GIS-Based Hydrologic and Hydraulic Applications for Highway Engineering: Summary Report. 3 indexed citations
18.
Maidment, David R., Eric Tate, & Francisco Olivera. (1998). GIS FOR FLOODPLAIN MAPPING IN DESIGN OF HIGHWAY DRAINAGE FACILITIES. 1 indexed citations
19.
Maidment, David R., et al.. (1996). Water Balance of the Niger Basin. 3411–3416. 2 indexed citations
20.
Olivera, Francisco & David R. Maidment. (1996). Runoff Computation Using Spatially Distributed Terrain Parameters. 3212–3217. 8 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.

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