S. N. Ward

1.5k total citations · 1 hit paper
31 papers, 1.1k citations indexed

About

S. N. Ward is a scholar working on Geophysics, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, S. N. Ward has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Geophysics, 10 papers in Atmospheric Science and 7 papers in Artificial Intelligence. Recurrent topics in S. N. Ward's work include earthquake and tectonic studies (22 papers), Geology and Paleoclimatology Research (10 papers) and Seismology and Earthquake Studies (7 papers). S. N. Ward is often cited by papers focused on earthquake and tectonic studies (22 papers), Geology and Paleoclimatology Research (10 papers) and Seismology and Earthquake Studies (7 papers). S. N. Ward collaborates with scholars based in United States, United Kingdom and Spain. S. N. Ward's co-authors include Joy Singarayer, Richard M. Bailey, Stephen Stokes, Saskia Goes, Amos Salamon, James T. Kirby, Cheng Zhang, Alberto Comastri, Sebastian Watt and T. Rockwell and has published in prestigious journals such as Scientific Reports, Geophysical Journal International and Bulletin of the Seismological Society of America.

In The Last Decade

S. N. Ward

30 papers receiving 1000 citations

Hit Papers

Modelling of the tsunami from the December 22, 2018 later... 2019 2026 2021 2023 2019 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. N. Ward United States 15 708 353 199 153 98 31 1.1k
E. Masana Spain 23 1.2k 1.7× 616 1.7× 201 1.0× 38 0.2× 110 1.1× 69 1.5k
Ariel Heimann Israel 20 963 1.4× 474 1.3× 130 0.7× 156 1.0× 29 0.3× 31 1.3k
María Ortuño Spain 17 554 0.8× 411 1.2× 116 0.6× 42 0.3× 124 1.3× 39 835
Samantha Engwell United Kingdom 16 487 0.7× 375 1.1× 169 0.8× 67 0.4× 143 1.5× 34 821
K. Minoura Japan 10 505 0.7× 480 1.4× 190 1.0× 33 0.2× 19 0.2× 16 779
H. L. Davies Australia 24 1.6k 2.3× 481 1.4× 337 1.7× 180 1.2× 142 1.4× 37 2.0k
Tina M. Niemi United States 17 452 0.6× 293 0.8× 217 1.1× 41 0.3× 43 0.4× 48 729
Takanobu Kamataki Japan 14 1.1k 1.5× 919 2.6× 488 2.5× 71 0.5× 36 0.4× 41 1.4k
Mari Sumita Germany 16 398 0.6× 385 1.1× 110 0.6× 75 0.5× 51 0.5× 43 724
John Stamatakos United States 19 960 1.4× 381 1.1× 184 0.9× 125 0.8× 74 0.8× 44 1.2k

Countries citing papers authored by S. N. Ward

Since Specialization
Citations

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

Fields of papers citing papers by S. N. Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. N. Ward. 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 S. N. Ward. The network helps show where S. N. Ward may publish in the future.

Co-authorship network of co-authors of S. N. Ward

This figure shows the co-authorship network connecting the top 25 collaborators of S. N. Ward. A scholar is included among the top collaborators of S. N. Ward 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 S. N. Ward. S. N. Ward 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.
Rundle, John B., et al.. (2021). Tsunami Squares: Earthquake driven inundation mapping and validation by comparison to the Regional Ocean Modeling System. Progress in Disaster Science. 12. 100191–100191. 5 indexed citations
2.
Grilli, Stéphan T., David R. Tappin, Steven Carey, et al.. (2019). Modelling of the tsunami from the December 22, 2018 lateral collapse of Anak Krakatau volcano in the Sunda Straits, Indonesia. Scientific Reports. 9(1). 11946–11946. 198 indexed citations breakdown →
3.
Hough, S. E., et al.. (2013). Reverberations on the Watery Element: A Significant, Tsunamigenic Historical Earthquake Offshore the Carolina Coast. Seismological Research Letters. 84(5). 891–898. 6 indexed citations
4.
Tullis, T. E., K. B. Richards‐Dinger, M. Barall, et al.. (2012). A Comparison among Observations and Earthquake Simulator Results for the allcal2 California Fault Model. Seismological Research Letters. 83(6). 994–1006. 41 indexed citations
5.
Ward, S. N., et al.. (2011). Rainwater harvesting in the UK: Thinking outside the tank. A report on recent research. UWE Research Repository (UWE Bristol). 1 indexed citations
6.
Barrientos, S. E., C. Vigny, S. N. Ward, & K. Bataille. (2009). Earthquake-induced Rockfall and Tsunami in Southern Chile. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
7.
Silver, Eli A., Simon Day, S. N. Ward, et al.. (2009). Volcano collapse and tsunami generation in the Bismarck Volcanic Arc, Papua New Guinea. Journal of Volcanology and Geothermal Research. 186(3-4). 210–222. 42 indexed citations
8.
Richards‐Dinger, K. B., Olaf Zielke, T. E. Tullis, et al.. (2008). Collaborative Comparison of Earthquake Simulators. AGUFM. 2008. 1 indexed citations
9.
Salamon, Amos, T. Rockwell, S. N. Ward, Emanuela Guidoboni, & Alberto Comastri. (2007). Tsunami Hazard Evaluation of the Eastern Mediterranean: Historical Analysis and Selected Modeling. Bulletin of the Seismological Society of America. 97(3). 705–724. 91 indexed citations
10.
Morgan, Eugene, et al.. (2005). Tsunami Deposits Related to Volcanic Island Collapses in the Southern Bismarck Sea. AGU Fall Meeting Abstracts. 2005. 1 indexed citations
11.
Silver, Eli A., Simon Day, S. N. Ward, et al.. (2005). Island arc debris avalanches and tsunami generation. Eos. 86(47). 485–489. 8 indexed citations
12.
Ward, S. N., et al.. (2004). Trans-Terrestrial Landslides and the Impact on the Marine Environment: Big Sur Coastline, California. AGU Fall Meeting Abstracts. 2004. 1 indexed citations
13.
Ward, S. N.. (2004). Earthquake Simulation by Restricted Random Walks. Bulletin of the Seismological Society of America. 94(6). 2079–2089. 7 indexed citations
14.
Chesley, Steven R. & S. N. Ward. (2003). Assessing the human hazard from impact-generated tsunami. 35. 1 indexed citations
15.
Greene, H. Gary, C. K. Paull, S. N. Ward, William Ussler, & Norman Maher. (2001). Evaluation of Ancient and Future Submarine Landslides Along the Central California Coast and Their Potential to Generate Tsunamis. AGUFM. 2001. 1 indexed citations
16.
Ward, S. N.. (2000). Asteroid Impact Tsunami: A Probabilistic Hazard Assessment. Icarus. 145(1). 64–78. 111 indexed citations
17.
Goes, Saskia & S. N. Ward. (1994). Synthetic seismicity for the San Andreas fault. Annals of Geophysics. 37(6). 42 indexed citations
18.
Ward, S. N.. (1985). Small-scale mantle flows and induced lithospheric stress near island arcs. Geophysical Journal International. 81(2). 409–428. 3 indexed citations
19.
Ward, S. N.. (1981). On elastic wave calculations in a sphere using moment tensor sources. Geophysical Journal International. 66(1). 23–30. 2 indexed citations
20.
Ward, S. N.. (1980). Body wave calculations using moment tensor sources in spherically symmetric, inhomogeneous media. Geophysical Journal International. 60(1). 53–66. 14 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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