David J. Yu

2.4k total citations · 1 hit paper
53 papers, 1.6k citations indexed

About

David J. Yu is a scholar working on Sociology and Political Science, Ocean Engineering and Global and Planetary Change. According to data from OpenAlex, David J. Yu has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Sociology and Political Science, 21 papers in Ocean Engineering and 20 papers in Global and Planetary Change. Recurrent topics in David J. Yu's work include Water resources management and optimization (20 papers), Flood Risk Assessment and Management (12 papers) and Transboundary Water Resource Management (10 papers). David J. Yu is often cited by papers focused on Water resources management and optimization (20 papers), Flood Risk Assessment and Management (12 papers) and Transboundary Water Resource Management (10 papers). David J. Yu collaborates with scholars based in United States, South Korea and Australia. David J. Yu's co-authors include John M. Anderies, Murugesu Sivapalan, Irene Pérez, Margaret Garcia, Marco A. Janssen, Matthew R. Sanderson, Megan Konar, Hoon C. Shin, Rimjhim Aggarwal and Yongping Wei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Science of The Total Environment.

In The Last Decade

David J. Yu

50 papers receiving 1.5k citations

Hit Papers

Sociohydrology: Scientific Challenges in Addressing the S... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Yu United States 23 661 483 432 420 162 53 1.6k
Marcela Brugnach Netherlands 20 1.0k 1.6× 421 0.9× 425 1.0× 303 0.7× 71 0.4× 58 2.0k
Katherine A. Daniell Australia 21 641 1.0× 294 0.6× 200 0.5× 387 0.9× 60 0.4× 73 1.6k
Frank van Steenbergen Netherlands 22 619 0.9× 403 0.8× 512 1.2× 381 0.9× 69 0.4× 86 2.3k
Neil S. Grigg United States 24 551 0.8× 690 1.4× 700 1.6× 253 0.6× 442 2.7× 205 2.2k
Raffaele Giordano Italy 27 798 1.2× 354 0.7× 378 0.9× 244 0.6× 221 1.4× 65 2.0k
Margaret Garcia United States 18 683 1.0× 584 1.2× 696 1.6× 195 0.5× 116 0.7× 46 1.4k
Joost Buurman Singapore 16 425 0.6× 382 0.8× 325 0.8× 173 0.4× 122 0.8× 34 1.1k
Olivier Barreteau France 21 957 1.4× 540 1.1× 455 1.1× 344 0.8× 67 0.4× 68 2.5k
Maria Rusca Netherlands 26 662 1.0× 510 1.1× 479 1.1× 446 1.1× 112 0.7× 58 2.1k
János J. Bogárdi Germany 24 514 0.8× 594 1.2× 883 2.0× 536 1.3× 157 1.0× 88 2.0k

Countries citing papers authored by David J. Yu

Since Specialization
Citations

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

Fields of papers citing papers by David J. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Yu. 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 David J. Yu. The network helps show where David J. Yu may publish in the future.

Co-authorship network of co-authors of David J. Yu

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Yu. A scholar is included among the top collaborators of David J. Yu 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 David J. Yu. David J. Yu 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
2.
Zipper, Samuel C., Hoon C. Shin, Jillian M. Deines, et al.. (2024). Unlocking aquifer sustainability through irrigator-driven groundwater conservation. Nature Sustainability. 7(12). 1574–1583. 7 indexed citations
3.
Yu, David J., Melissa Haeffner, Hanseok Jeong, et al.. (2022). On capturing human agency and methodological interdisciplinarity in socio-hydrology research. Hydrological Sciences Journal. 67(13). 1905–1916. 18 indexed citations
4.
Marston, Landon, et al.. (2022). The importance of fit in groundwater self-governance. Environmental Research Letters. 17(11). 111001–111001. 17 indexed citations
5.
Shrestha, Ashish, Felipe Augusto Arguello Souza, Samuel Park, et al.. (2022). Socio-hydrological modeling of the tradeoff between flood control and hydropower provided by the Columbia River Treaty. Hydrology and earth system sciences. 26(19). 4893–4917. 2 indexed citations
6.
Wei, Yongping, Jing Wei, Gen Li, et al.. (2022). A socio-hydrological framework for understanding conflict and cooperation with respect to transboundary rivers. Hydrology and earth system sciences. 26(8). 2131–2146. 17 indexed citations
7.
Chang, Heejun, et al.. (2021). Understanding Urban Flood Resilience in the Anthropocene: A Social–Ecological–Technological Systems (SETS) Learning Framework. Annals of the American Association of Geographers. 111(3). 837–857. 22 indexed citations
8.
Yu, David J., et al.. (2021). Desiccation of a saline lake as a lock-in phenomenon: A socio-hydrological perspective. The Science of The Total Environment. 811. 152347–152347. 15 indexed citations
9.
Yu, David J., et al.. (2021). Efficiency-fairness trade-offs in evacuation management of urban floods: The effects of the shelter capacity and zone prioritization. PLoS ONE. 16(6). e0253395–e0253395. 13 indexed citations
11.
Tian, Fuqiang, Iolanda Borzì, Jing Wei, et al.. (2021). Socio-hydrologic modeling of the dynamics of cooperation in the transboundary Lancang–Mekong River. Hydrology and earth system sciences. 25(4). 1883–1903. 40 indexed citations
12.
Shrestha, Ashish, Felipe Augusto Arguello Souza, Samuel Park, et al.. (2021). Socio-hydrological modeling of the tradeoff between flood control and hydropower provided by the Columbia River Treaty.
13.
Yu, David J., Michael Schoon, Jason K. Hawes, et al.. (2020). Toward General Principles for Resilience Engineering. Risk Analysis. 40(8). 1509–1537. 46 indexed citations
14.
Yu, David J., Heejun Chang, Taylor Davis, et al.. (2020). Socio-hydrology: an interplay of design and self-organization in a multilevel world. Ecology and Society. 25(4). 24 indexed citations
15.
Kalantari, Zahra, et al.. (2020). Socio-hydrological Issues Preventing Restoration of the Urmia Lake in Iran. 1 indexed citations
16.
Borzì, Iolanda, Jing Wei, Dengfeng Liu, et al.. (2020). Socio-Hydrologic Modeling of the Dynamics of Cooperation in the Transboundary Lancang-Mekong River. 2 indexed citations
17.
Gkritza, Konstantina, et al.. (2018). Exploring the role of worker income and workplace characteristics on the journey to work. International Journal of Sustainable Transportation. 13(8). 553–566. 6 indexed citations
18.
Ishtiaque, Asif, et al.. (2017). Robust-yet-fragile nature of partly engineered social-ecological systems: a case study of coastal Bangladesh. Ecology and Society. 22(3). 43 indexed citations
19.
Pérez, Irene, David J. Yu, Marco A. Janssen, & John M. Anderies. (2015). Social roles and performance of social-ecological systems: evidence from behavioral lab experiments. Ecology and Society. 20(3). 10 indexed citations
20.
Yu, David J., John M. Anderies, Dowon Lee, & Irene Pérez. (2014). Transformation of resource management institutions under globalization: the case of songgye community forests in South Korea.. Ecology and Society. 19(2). 34 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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