Mike Hearne

1.8k total citations · 1 hit paper
7 papers, 1.3k citations indexed

About

Mike Hearne is a scholar working on Geophysics, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Mike Hearne has authored 7 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Geophysics, 4 papers in Artificial Intelligence and 2 papers in Civil and Structural Engineering. Recurrent topics in Mike Hearne's work include earthquake and tectonic studies (6 papers), Seismology and Earthquake Studies (4 papers) and Seismic Waves and Analysis (3 papers). Mike Hearne is often cited by papers focused on earthquake and tectonic studies (6 papers), Seismology and Earthquake Studies (4 papers) and Seismic Waves and Analysis (3 papers). Mike Hearne collaborates with scholars based in United States. Mike Hearne's co-authors include G. P. Hayes, Gregory M. Smoczyk, D. E. Portner, Ginevra L. Moore, Hanna Flamme, M. Furtney, David J. Wald, Kishor Jaiswal, C. Bruce Worden and John Rekoske and has published in prestigious journals such as Science, Computers & Geosciences and Seismological Research Letters.

In The Last Decade

Mike Hearne

7 papers receiving 1.2k 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.

Slab2, a comprehensive subduction zone geometry model

2018 991 citations G. P. Hayes, Ginevra L. Moore et al. Science profile →

Peers

Mike Hearne

GEOPH

AI

CSE

GEOLO

AS

Gregory M. Smoczyk United States

M. Furtney United States

Ryo Okuwaki Japan

John Ristau New Zealand

K. R. Gledhill New Zealand

William Kumar Mohanty India

I. Kassaras Greece

D. Slejko Italy

G. F. Karakaisis Greece

Hanna Flamme United States

Gregory M. Smoczyk United States

Mike Hearne

1.3k ×1.1

GEOPH

199 ×1.1

AI

189 ×1.1

CSE

76 ×1.1

GEOLO

94 ×1.7

AS

Citations per year, relative to Mike Hearne Mike Hearne (= 1×) peers Gregory M. Smoczyk

Countries citing papers authored by Mike Hearne

Since Specialization

Citations

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

Fields of papers citing papers by Mike Hearne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Hearne

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Thompson, Eric M., Mike Hearne, B. Aagaard, et al.. (2024). Automated, Near Real-Time Ground-Motion Processing at the U.S. Geological Survey. Seismological Research Letters. 96(1). 538–553. 9 indexed citations

2.

Rekoske, John, Eric M. Thompson, Morgan P. Moschetti, et al.. (2020). The 2019 Ridgecrest, California, Earthquake Sequence Ground Motions: Processed Records and Derived Intensity Metrics. Seismological Research Letters. 91(4). 2010–2023. 41 indexed citations

3.

Hayes, G. P., Ginevra L. Moore, D. E. Portner, et al.. (2018). Slab2, a comprehensive subduction zone geometry model. Science. 362(6410). 58–61. 991 indexed citations breakdown →

4.

Wald, David J., et al.. (2016). Computing spatial correlation of ground motion intensities for ShakeMap. Computers & Geosciences. 99. 145–154. 27 indexed citations

5.

Guy, Michelle R., et al.. (2015). National Earthquake Information Center systems overview and integration. Antarctica A Keystone in a Changing World. 52 indexed citations

6.

Hayes, G. P., Richard W. Briggs, William D. Barnhart, et al.. (2015). Rapid Characterization of the 2015M_w 7.8 Gorkha, Nepal, Earthquake Sequence and Its Seismotectonic Context. Seismological Research Letters. 86(6). 1557–1567. 83 indexed citations

7.

Jaiswal, Kishor, David J. Wald, & Mike Hearne. (2009). Estimating Casualties for Large Earthquakes Worldwide Using an Empirical Approach. Antarctica A Keystone in a Changing World. 69 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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