Kyle T. Mandli

1.9k total citations · 1 hit paper
45 papers, 937 citations indexed

About

Kyle T. Mandli is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, Kyle T. Mandli has authored 45 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 12 papers in Earth-Surface Processes. Recurrent topics in Kyle T. Mandli's work include Tropical and Extratropical Cyclones Research (16 papers), Flood Risk Assessment and Management (12 papers) and Coastal and Marine Dynamics (11 papers). Kyle T. Mandli is often cited by papers focused on Tropical and Extratropical Cyclones Research (16 papers), Flood Risk Assessment and Management (12 papers) and Coastal and Marine Dynamics (11 papers). Kyle T. Mandli collaborates with scholars based in United States, Saudi Arabia and United Kingdom. Kyle T. Mandli's co-authors include David L. George, Randall J. LeVeque, Marsha Berger, Clint Dawson, Ibrahim Hoteit, Simone Marras, Omar M. Knio, C. Scott Watson, David Shean and Katherine Strattman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Scientific Reports.

In The Last Decade

Kyle T. Mandli

44 papers receiving 892 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Under the surface: Pressure-induced planetary-scale waves, volcanic lightning, and gaseous clouds caused by the submarine eruption of Hunga Tonga-Hunga Ha'apai volcano

2022 118 citations Melissa Scruggs, Frank J. Spera et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle T. Mandli United States	16	422	262	216	149	116	45	937
Jorge Macı́as Spain	20	244 0.6×	367 1.4×	61 0.3×	271 1.8×	352 3.0×	64	1.1k
Jörn Behrens Germany	17	225 0.5×	300 1.1×	48 0.2×	125 0.8×	267 2.3×	55	764
Annamaria Vicari Italy	21	486 1.2×	531 2.0×	192 0.9×	46 0.3×	76 0.7×	49	1.3k
Michele Dragoni Italy	20	335 0.8×	1.2k 4.6×	42 0.2×	114 0.8×	116 1.0×	107	1.6k
Enrique D. Fernández-Nieto Spain	24	302 0.7×	197 0.8×	115 0.5×	297 2.0×	1.1k 9.4×	78	1.7k
Tomaso Esposti Ongaro Italy	27	596 1.4×	1.0k 3.9×	248 1.1×	295 2.0×	275 2.4×	68	1.8k
P. Whelley United States	21	449 1.1×	288 1.1×	141 0.7×	427 2.9×	14 0.1×	82	1.7k
Felix Norman Teferle Luxembourg	26	281 0.7×	237 0.9×	175 0.8×	145 1.0×	20 0.2×	73	2.3k
Nicolas Fournier New Zealand	21	250 0.6×	921 3.5×	51 0.2×	87 0.6×	27 0.2×	60	1.3k
Masato Iguchi Japan	27	581 1.4×	1.7k 6.4×	376 1.7×	76 0.5×	28 0.2×	176	2.4k

Countries citing papers authored by Kyle T. Mandli

Since Specialization

Citations

This map shows the geographic impact of Kyle T. Mandli'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 Kyle T. Mandli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle T. Mandli more than expected).

Fields of papers citing papers by Kyle T. Mandli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle T. Mandli. 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 Kyle T. Mandli. The network helps show where Kyle T. Mandli may publish in the future.

Co-authorship network of co-authors of Kyle T. Mandli

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle T. Mandli. A scholar is included among the top collaborators of Kyle T. Mandli 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 Kyle T. Mandli. Kyle T. Mandli 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

Miura, Yuki, et al.. (2025). Coastal storm-induced flooding risk of the New York City subway amid climate change. Transportation Research Part D Transport and Environment. 149. 104974–104974.

Zhang, Hongyuan, Hamed Moftakhari, Daniel P. Ames, et al.. (2025). Coupling Coastal and Hydrologic Models through Next Generation National Water Model Framework. Journal of Hydrologic Engineering. 30(2). 2 indexed citations

Sarhadi, Ali, et al.. (2024). Climate Change Contributions to Increasing Compound Flooding Risk in New York City. Bulletin of the American Meteorological Society. 105(2). E337–E356. 13 indexed citations

Irish, Jennifer L., Robert Weiss, Kyle T. Mandli, et al.. (2023). Advances in Morphodynamic Modeling of Coastal Barriers: A Review. Journal of Waterway Port Coastal and Ocean Engineering. 149(5). 14 indexed citations

Zheng, Yingcai, Hao Hu, Frank J. Spera, et al.. (2023). Episodic Magma Hammers for the 15 January 2022 Cataclysmic Eruption of Hunga Tonga‐Hunga Ha'apai. Geophysical Research Letters. 50(8). 8 indexed citations

Finn, Donovan, Kyle T. Mandli, Anamaria Bukvic, et al.. (2022). Moving from interdisciplinary to convergent research across geoscience and social sciences: challenges and strategies. Environmental Research Letters. 17(6). 61002–61002. 7 indexed citations

Mergili, Martin, Ashim Sattar, Jonathan L. Carrivick, et al.. (2021). Exploring the flow evolution of the Chamoli event (Uttarakhand, India) of 7 February 2021: From geomorphological mapping to multi-model computer simulations. 1 indexed citations

Raney, Austin, et al.. (2021). An Open‐Source Python Library for Varying Model Parameters and Automating Concurrent Simulations of the National Water Model. JAWRA Journal of the American Water Resources Association. 58(1). 75–85. 2 indexed citations

Islam, Md. Rezuanul, Chia‐Ying Lee, Kyle T. Mandli, & Hiroshi Takagi. (2021). A new tropical cyclone surge index incorporating the effects of coastal geometry, bathymetry and storm information. Scientific Reports. 11(1). 16747–16747. 15 indexed citations

10.

Miura, Yuki, et al.. (2021). Optimization of Coastal Protections in the Presence of Climate Change. Frontiers in Climate. 3. 3 indexed citations

11.

Marras, Simone & Kyle T. Mandli. (2020). Modeling and Simulation of Tsunami Impact: A Short Review of Recent Advances and Future Challenges. Geosciences. 11(1). 5–5. 23 indexed citations

12.

Haritashya, Umesh K., Jeffrey S. Kargel, Dan H. Shugar, et al.. (2018). Evolution and Controls of Large Glacial Lakes in the Nepal Himalaya. Remote Sensing. 10(5). 798–798. 102 indexed citations

13.

Mandli, Kyle T., et al.. (2018). Vectorization of Riemann solvers for the single- and multi-layer Shallow Water Equations. mediaTUM (Technical University of Munich). 75. 415–422. 5 indexed citations

14.

Sraj, Ihab, Kyle T. Mandli, Omar M. Knio, Clint Dawson, & Ibrahim Hoteit. (2017). Quantifying uncertainties in fault slip distribution during the Tōhoku tsunami using polynomial chaos. Ocean Dynamics. 67(12). 1535–1551. 8 indexed citations

15.

Mandli, Kyle T. & Clint Dawson. (2014). Adaptive mesh refinement for storm surge. Ocean Modelling. 75. 36–50. 61 indexed citations

16.

Mandli, Kyle T.. (2013). A numerical method for the two layer shallow water equations with dry states. Ocean Modelling. 72. 80–91. 25 indexed citations

17.

Terrel, Andy R. & Kyle T. Mandli. (2012). ManyClaw: Implementation and Comparison of Intra-Node Parallelism of Clawpack. AGU Fall Meeting Abstracts. 2012. 1 indexed citations

18.

Ketcheson, David I., et al.. (2011). PetClaw: a scalable parallel nonlinear wave propagation solver for Python. IEEE International Conference on High Performance Computing, Data, and Analytics. 96–103. 5 indexed citations

19.

Mandli, Kyle T., et al.. (2011). Using Python to Construct a Scalable Parallel Nonlinear Wave Solver. Proceedings of the Python in Science Conferences. 70–75. 3 indexed citations

20.

LeVeque, Randall J., et al.. (2010). The GeoClaw Software for Geophysical Flows. AGU Fall Meeting Abstracts. 2010. 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.

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