Daniel Clarke

489 total citations
10 papers, 362 citations indexed

About

Daniel Clarke is a scholar working on Geophysics, Artificial Intelligence and Mechanics of Materials. According to data from OpenAlex, Daniel Clarke has authored 10 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Geophysics, 6 papers in Artificial Intelligence and 1 paper in Mechanics of Materials. Recurrent topics in Daniel Clarke's work include Seismic Waves and Analysis (7 papers), earthquake and tectonic studies (6 papers) and Seismology and Earthquake Studies (4 papers). Daniel Clarke is often cited by papers focused on Seismic Waves and Analysis (7 papers), earthquake and tectonic studies (6 papers) and Seismology and Earthquake Studies (4 papers). Daniel Clarke collaborates with scholars based in France, New Zealand and Italy. Daniel Clarke's co-authors include Н. М. Шапиро, Florent Brenguier, Lucia Zaccarelli, Valérie Ferrazzini, Aline Peltier, Yosuke Aoki, Thomas Staudacher, Michel Campillo, John Townend and G.J.S. Govett and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Journal International and Journal of Volcanology and Geothermal Research.

In The Last Decade

Daniel Clarke

10 papers receiving 355 citations

Peers

Daniel Clarke

GEOPH

AI

OE

AS

MMPL

E. Minaya United States

Sadato Ueki Japan

S. Nippress United Kingdom

Hans E. Hartse United States

Andrea Ursino Italy

Chastity Aiken United States

Marja Uski Finland

Makoto Matsubara Japan

Lauriane Chardot New Zealand

Ryou Honda Japan

E. Minaya United States

Daniel Clarke

516 ×1.5

GEOPH

75 ×0.5

AI

20 ×0.5

OE

33 ×1.2

AS

24 ×0.9

MMPL

Citations per year, relative to Daniel Clarke Daniel Clarke (= 1×) peers E. Minaya

Countries citing papers authored by Daniel Clarke

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Clarke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Clarke

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

All Works

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10 of 10 papers shown

1.

Rivet, Diane, Florent Brenguier, Daniel Clarke, Н. М. Шапиро, & Aline Peltier. (2014). Long‐term dynamics of Piton de la Fournaise volcano from 13 years of seismic velocity change measurements and GPS observations. Journal of Geophysical Research Solid Earth. 119(10). 7654–7666. 36 indexed citations

2.

Clarke, Daniel, Florent Brenguier, Jean‐Luc Froger, et al.. (2013). Timing of a large volcanic flank movement at Piton de la Fournaise Volcano using noise-based seismic monitoring and ground deformation measurements. Geophysical Journal International. 195(2). 1132–1140. 38 indexed citations

3.

Grasso, Jean‐Robert, et al.. (2012). Eruption forerunners from multiparameter monitoring and application for eruptions time predictability (Piton de la Fournaise). Journal of Geophysical Research Atmospheres. 117(B11). 26 indexed citations

4.

Brenguier, Florent, Daniel Clarke, Yosuke Aoki, et al.. (2011). Monitoring volcanoes using seismic noise correlations. Comptes Rendus Géoscience. 343(8-9). 633–638. 66 indexed citations

5.

Clarke, Daniel, Lucia Zaccarelli, Н. М. Шапиро, & Florent Brenguier. (2011). Assessment of resolution and accuracy of the Moving Window Cross Spectral technique for monitoring crustal temporal variations using ambient seismic noise. Geophysical Journal International. 186(2). 867–882. 145 indexed citations

6.

Clarke, Daniel, John Townend, M. K. Savage, & Stephen Bannister. (2008). Seismicity in the Rotorua and Kawerau geothermal systems, Taupo Volcanic Zone, New Zealand, based on improved velocity models and cross-correlation measurements. Journal of Volcanology and Geothermal Research. 180(1). 50–66. 20 indexed citations

7.

Nicholson, Tony, Daniel Clarke, & John Townend. (2008). Regional earthquake location using empirical traveltimes in a region of strong lateral velocity heterogeneity. Geophysical Journal International. 175(2). 560–570. 8 indexed citations

8.

Clarke, Daniel. (2008). Velocity Modelling and Earthquake Relocation inthe Rotorua and Kawerau Geothermal Areas,Taupo Volcanic Zone, New Zealand. 3 indexed citations

9.

Clarke, Daniel, et al.. (1990). Geology and trace-element geochemistry of the Umuna gold-silver deposit, Misima Island, Papua New Guinea. Journal of Geochemical Exploration. 35(1-3). 201–223. 5 indexed citations

10.

Clarke, Daniel & G.J.S. Govett. (1990). Southwest Pacific epithermal gold: a rock-geochemistry perspective. Journal of Geochemical Exploration. 35(1-3). 225–240. 15 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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