D. Páez

23 papers receiving 193 citations

Peers

D. Páez
Comparison fields: 5 of 35
  • Civil and Structural Engineering 181
  • Environmental Engineering 86
  • Ocean Engineering 51
  • Health, Toxicology and Mutagenesis 40
  • Water Science and Technology 28
Replace Dylan Moriarty with:
Dylan Moriarty United States
Jessica Bohórquez Colombia
Jianhua Xu United States
Katherine Klise United States
Daniel Manzi Brazil
Philip Jonkergouw United Kingdom
Dalius Misiūnas Australia
Filippo Pecci United Kingdom
M. Bakker Netherlands
Artem V. Babayan United Kingdom
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Citations per year

Countries citing papers authored by D. Páez

Since Specialization
Citations

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

Fields of papers citing papers by D. Páez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside D. Páez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Páez Line = papers co-authored together D. Páez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201936
2 201822
3 201917
4 202013
5 201413
6
Optimal power use surface for design of water distribution systems
201212
7 201511
8 20149
9 20178
10 20198
11 20157
12 20206
13 20135
14 20165
15 20134
16 20144
17 20144
18 20204
19
An energy based methodology applied to D-town
20123
20 20153

About D. Páez

D. Páez is a scholar working on Civil and Structural Engineering, Health, Toxicology and Mutagenesis, Environmental Engineering, Electrical and Electronic Engineering and Ocean Engineering, having authored 24 papers that have together received 200 indexed citations. Recurring topics across this work include Water Systems and Optimization (22 papers), Water Treatment and Disinfection (8 papers), Urban Stormwater Management Solutions (8 papers), Smart Grid Energy Management (5 papers), Water resources management and optimization (3 papers), Probabilistic and Robust Engineering Design (3 papers), Cavitation Phenomena in Pumps (2 papers) and Engineering and Technology Innovations (1 paper). The work is most often cited by research in Civil and Structural Engineering (181 citations), Environmental Engineering (86 citations), Ocean Engineering (51 citations), Health, Toxicology and Mutagenesis (40 citations) and Water Science and Technology (28 citations). D. Páez has collaborated with scholars based in Colombia, Canada and Bolivia. Frequent co-authors include Yves Filion, Juan Saldarriaga, C. R. Suribabu, Jessica Bohórquez, David Celeita, Zoran Kapelan, Dragan Savić, Graeme C. Dandy, Walter M. Grayman and Daniel Vallejo. Their work appears in journals such as Journal of Water Resources Planning and Management, Water, Water Resources Management, Journal of Hydroinformatics and Sustainable Energy Technologies and Assessments.

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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