David Harte

2.0k total citations
48 papers, 1.4k citations indexed

About

David Harte is a scholar working on Geophysics, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, David Harte has authored 48 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Geophysics, 18 papers in Artificial Intelligence and 9 papers in Economics and Econometrics. Recurrent topics in David Harte's work include earthquake and tectonic studies (20 papers), Geochemistry and Geologic Mapping (13 papers) and Earthquake Detection and Analysis (9 papers). David Harte is often cited by papers focused on earthquake and tectonic studies (20 papers), Geochemistry and Geologic Mapping (13 papers) and Earthquake Detection and Analysis (9 papers). David Harte collaborates with scholars based in New Zealand, United States and China. David Harte's co-authors include R B Davies, Mark Bebbington, D. Vere‐Jones, Paul M. Hurst, William J. Frith, Jiancang Zhuang, Maximilian J. Werner, Sebastian Hainzl, Shiyong Zhou and John Ristau and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Biometrika.

In The Last Decade

David Harte

48 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Harte New Zealand	19	487	345	325	199	122	48	1.4k
Robert L. Wolpert United States	25	100 0.2×	287 0.8×	461 1.4×	143 0.7×	10 0.1×	76	2.3k
Stelios M. Potirakis Greece	24	1.0k 2.1×	208 0.6×	516 1.6×	24 0.1×	8 0.1×	145	1.6k
Michele Lovallo Italy	22	482 1.0×	550 1.6×	282 0.9×	72 0.4×	2 0.0×	89	1.3k
Susana Barbosa Portugal	24	277 0.6×	154 0.4×	88 0.3×	31 0.2×	3 0.0×	78	1.5k
Anthony B. Davis United States	32	53 0.1×	219 0.6×	263 0.8×	43 0.2×	7 0.1×	141	3.8k
Andrew T. A. Wood United Kingdom	28	40 0.1×	338 1.0×	515 1.6×	303 1.5×	3 0.0×	122	2.9k
H. L. Gray United States	20	42 0.1×	448 1.3×	223 0.7×	378 1.9×	3 0.0×	78	1.8k
D. G. T. Denison United Kingdom	12	61 0.1×	132 0.4×	485 1.5×	43 0.2×	3 0.0×	22	1.1k
Richard J. Samworth United Kingdom	21	37 0.1×	86 0.2×	604 1.9×	77 0.4×	3 0.0×	55	1.8k
David Huard Canada	15	50 0.1×	44 0.1×	134 0.4×	54 0.3×	26 0.2×	30	1.7k

Countries citing papers authored by David Harte

Since Specialization

Citations

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

Fields of papers citing papers by David Harte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Harte

This figure shows the co-authorship network connecting the top 25 collaborators of David Harte. A scholar is included among the top collaborators of David Harte 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 Harte. David Harte 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

Cox, Simon C., Sjoerd van Ballegooy, Helen Rutter, et al.. (2020). Can artesian groundwater and earthquake-induced aquifer leakage exacerbate the manifestation of liquefaction?. Engineering Geology. 281. 105982–105982. 15 indexed citations

Harte, David. (2019). Evaluation of earthquake stochastic models based on their real-time forecasts: a case study of Kaikoura 2016. Geophysical Journal International. 217(3). 1894–1914. 8 indexed citations

Harte, David. (2017). Probability distribution of forecasts based on the ETAS model. Geophysical Journal International. 210(1). 90–104. 13 indexed citations

Male, Sally, Caroline Baillie, Cara MacNish, et al.. (2015). Student experiences of threshold capability development in an engineering unit with intensive mode. UWA Profiles and Research Repository (University of Western Australia). 3 indexed citations

Harte, David. (2015). Model parameter estimation bias induced by earthquake magnitude cut-off. Geophysical Journal International. 204(2). 1266–1287. 21 indexed citations

Lu, Chunsheng, David Harte, & Mark Bebbington. (2014). A linked stress release model for historical Japanese earthquakes: coupling among major seismic regions. Earth Planets and Space. 51(9). 907–916. 11 indexed citations

Zhuang, Jiancang, Maximilian J. Werner, & David Harte. (2013). Stability of earthquake clustering models: Criticality and branching ratios. Physical Review E. 88(6). 62109–62109. 25 indexed citations

Thomas, Giles, et al.. (2013). Developing Student Skills Through Industry-Aligned and Team-Focussed Design Projects. 50–55. 1 indexed citations

Zhuang, Jiancang, Maximilian J. Werner, Shiyong Zhou, Sebastian Hainzl, & David Harte. (2012). Basic models of seismicity: temporal models. Publication Database GFZ (GFZ German Research Centre for Geosciences). 62 indexed citations

10.

Harte, David. (2010). PtProcess: An R Package for Modelling Marked Point Processes Indexed by Time. SHILAP Revista de lepidopterología. 6 indexed citations

11.

Wang, Ting, Mark Bebbington, & David Harte. (2010). Markov-modulated Hawkes process with stepwise decay. Annals of the Institute of Statistical Mathematics. 64(3). 521–544. 21 indexed citations

12.

Harte, David, et al.. (2007). Quantifying the M8 algorithm: Model, forecast, and evaluation. New Zealand Journal of Geology and Geophysics. 50(2). 117–130. 4 indexed citations

13.

Harte, David, et al.. (2003). Quantifying the M8 prediction algorithm: Reduction to a single critical variable and stability results. New Zealand Journal of Geology and Geophysics. 46(1). 141–152. 12 indexed citations

14.

Chen, Shijun, David Harte, Li Ma, & Lifeng Wang. (2003). Research on the multifractal characteristics of the temporal-spatial distribution of earthquakes over New Zealand area. Acta Seismologica Sinica. 16(3). 312–322. 4 indexed citations

15.

Bebbington, Mark & David Harte. (2001). On the statistics of the linked stress release model. Journal of Applied Probability. 38(A). 176–187. 24 indexed citations

16.

Harte, David & D. Vere‐Jones. (1999). Differences in coverage between the PDE and New Zealand local earthquake catalogues. New Zealand Journal of Geology and Geophysics. 42(2). 237–253. 15 indexed citations

17.

Hurst, Paul M., David Harte, & William J. Frith. (1994). The Grand Rapids dip revisited. Accident Analysis & Prevention. 26(5). 647–654. 103 indexed citations

18.

Harte, David, et al.. (1992). Relationship Between Preentry Sample Size for Quarantine Security and Variability of Estimates of Fruit Fly (Diptera: Tephritidae) Disinfestation Treatment Efficacy. Journal of Economic Entomology. 85(5). 1560–1565. 4 indexed citations

19.

Davies, R B & David Harte. (1987). Tests for Hurst Effect. Biometrika. 74(1). 95–95. 11 indexed citations

20.

Harte, David, et al.. (1986). The safety implications of some control changes at urban intersections. Accident Analysis & Prevention. 18(3). 183–192. 12 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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