David Judi

1.2k total citations
46 papers, 723 citations indexed

About

David Judi is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, David Judi has authored 46 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Global and Planetary Change, 20 papers in Atmospheric Science and 12 papers in Water Science and Technology. Recurrent topics in David Judi's work include Flood Risk Assessment and Management (27 papers), Tropical and Extratropical Cyclones Research (18 papers) and Hydrology and Watershed Management Studies (12 papers). David Judi is often cited by papers focused on Flood Risk Assessment and Management (27 papers), Tropical and Extratropical Cyclones Research (18 papers) and Hydrology and Watershed Management Studies (12 papers). David Judi collaborates with scholars based in United States, Australia and Cyprus. David Judi's co-authors include Steven J. Burian, Timothy N. McPherson, Alfred Kalyanapu, Karthik Balaguru, Seungyub Lee, Sangmin Shin, Eric R. Pardyjak, L. Ruby Leung, Masood Parvania and Erfan Goharian and has published in prestigious journals such as Water Resources Research, Science Advances and Climatic Change.

In The Last Decade

David Judi

41 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Judi United States	14	434	290	225	183	94	46	723
Theano Iliopoulou Greece	16	401 0.9×	141 0.5×	222 1.0×	41 0.2×	39 0.4×	74	783
Mohammad Farid Indonesia	14	312 0.7×	102 0.4×	134 0.6×	68 0.4×	20 0.2×	97	555
Zekâi Şen Türkiye	17	489 1.1×	146 0.5×	354 1.6×	123 0.7×	117 1.2×	60	1.1k
Lori A. Schultz United States	9	634 1.5×	292 1.0×	161 0.7×	76 0.4×	43 0.5×	26	919
Haijun Yu China	16	729 1.7×	364 1.3×	333 1.5×	40 0.2×	37 0.4×	38	1.0k
Nathabandu T. Kottegoda Italy	5	682 1.6×	273 0.9×	314 1.4×	104 0.6×	39 0.4×	6	1.0k
Alfred Kalyanapu United States	16	732 1.7×	307 1.1×	517 2.3×	89 0.5×	13 0.1×	47	886
Zheng Fang United States	18	527 1.2×	277 1.0×	361 1.6×	48 0.3×	27 0.3×	47	827
Xiaodong Ming United Kingdom	10	689 1.6×	422 1.5×	351 1.6×	76 0.4×	12 0.1×	17	878
Timothy N. McPherson United States	13	347 0.8×	133 0.5×	246 1.1×	181 1.0×	13 0.1×	31	720

Countries citing papers authored by David Judi

Since Specialization

Citations

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

Fields of papers citing papers by David Judi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Judi

This figure shows the co-authorship network connecting the top 25 collaborators of David Judi. A scholar is included among the top collaborators of David Judi 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 Judi. David Judi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cooper, Matthew G., Ning Sun, Mark S. Wigmosta, et al.. (2025). Enhanced flood synchrony and downstream severity in the Delaware River under rising temperatures. Communications Earth & Environment. 6(1). 1 indexed citations

Balaguru, Karthik, et al.. (2025). Projecting U.S. coastal storm surge risks and impacts with deep learning. Environmental Research Letters. 20(10). 104013–104013.

Sun, Ning, et al.. (2025). Multi-decade analysis of flood risks to community infrastructure in Philadelphia. International Journal of Disaster Risk Reduction. 130. 105825–105825.

Balaguru, Karthik, et al.. (2025). Projected increases in tropical cyclone-induced U.S. electric power outage risk. Environmental Research Letters. 20(3). 34030–34030. 3 indexed citations

Wan, Heng, et al.. (2025). Explaining drivers of housing prices with nonlinear hedonic regressions. Machine Learning with Applications. 21. 100707–100707. 1 indexed citations

Deb, Mithun, Ning Sun, Taiping Wang, et al.. (2025). Extreme flood return levels in a U.S. mid-Atlantic estuary using 40-year fluvial-coastal model simulations. Scientific Data. 12(1). 1459–1459.

Yoon, James Hye Suk, et al.. (2025). Uncertainty in Household Behavior Drives Large Variation in the Size of the Levee Effect. Journal of Flood Risk Management. 18(4).

Sun, Ning, Mark S. Wigmosta, Hongxiang Yan, et al.. (2024). Amplified Extreme Floods and Shifting Flood Mechanisms in the Delaware River Basin in Future Climates. Earth s Future. 12(3). 8 indexed citations

Deb, Mithun, James J. Benedict, Ning Sun, et al.. (2024). Estuarine hurricane wind can intensify surge-dominated extreme water level in shallow and converging coastal systems. Natural hazards and earth system sciences. 24(7). 2461–2479. 4 indexed citations

10.

Judi, David, et al.. (2024). Effects of breach formation parameter uncertainty on inundation risk area and consequence analysis. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

11.

Balaguru, Karthik, et al.. (2024). Amplified threat of tropical cyclones to US offshore wind energy in a changing climate. Communications Earth & Environment. 5(1). 5 indexed citations

12.

Xu, Wenwei, et al.. (2024). A North Atlantic synthetic tropical cyclone track, intensity, and rainfall dataset. Scientific Data. 11(1). 130–130. 6 indexed citations

13.

Deb, Mithun, et al.. (2024). Extreme floodwater depth and stillwater elevation return levels in the Delaware Bay and River, USA. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

14.

Balaguru, Karthik, Wenwei Xu, L. Ruby Leung, et al.. (2023). Increased U.S. coastal hurricane risk under climate change. Science Advances. 9(14). eadf0259–eadf0259. 62 indexed citations

15.

Deb, Mithun, Ning Sun, Zhaoqing Yang, et al.. (2023). Interacting Effects of Watershed and Coastal Processes on the Evolution of Compound Flooding During Hurricane Irene. Earth s Future. 11(3). 15 indexed citations

16.

Xu, Wen-Wei, et al.. (2021). Deep Learning Experiments for Tropical Cyclone Intensity Forecasts. Weather and Forecasting. 49 indexed citations

17.

Judi, David, et al.. (2019). Characterizing the Uncertainty and Feasibility of Generating Nationwide Probabilistic Flood Depths for Risk Planning. AGUFM. 2019. 1 indexed citations

18.

Judi, David, et al.. (2014). Computational Challenges in Consequence Estimation for Risk Assessment- Numerical Modelling, Uncertainty Quantification, and Communication of Results. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations

19.

Bent, Russell, et al.. (2012). Water distribution expansion planning with decomposition. ANU Open Research (Australian National University). 305. 1 indexed citations

20.

Judi, David, Alfred Kalyanapu, Timothy N. McPherson, & Steven J. Burian. (2009). Integration of SWMM into a Dam Break, Hurricane, and Extreme Flood Modeling and Damage Assessment Framework. Journal of Water Management Modeling. 3 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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