M. Liukis

584 citations
12 papers · 361 · h-index 6

Impact in

  • Geophysics top 5%
    • earthquake and tectonic studies
    • Earthquake Detection and Analysis
    • Geological and Geochemical Analysis
    • High-pressure geophysics and materials
    • Seismic Waves and Analysis
    • Seismology and Earthquake Studies
    • Geochemistry and Geologic Mapping

Papers in

    • earthquake and tectonic studies 8
    • Earthquake Detection and Analysis 7
    • Seismic Waves and Analysis 1
    • Seismology and Earthquake Studies 7

M. Liukis

12 papers receiving 345 citations

Peers

M. Liukis
Comparison fields: 5 of 45
  • Geophysics 325
  • Artificial Intelligence 236
  • Applied Mathematics 11
  • Geology 4
  • Civil and Structural Engineering 14
Replace William H. Savran with:
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M. Liukis relative to William H. Savran United States William H. Savran's profile →
Citations per field
00.5×3.5×
William H. Savran · 1×
Citations per year

Countries citing papers authored by M. Liukis

Since Specialization
Citations

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

Fields of papers citing papers by M. Liukis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Liukis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Liukis Line = papers co-authored together M. Liukis links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2009101
2 201898
3 201861
4 201538
5 201827
6 201824
7 20205
8 20232
9
Retrospective Evaluation of Earthquake Forecasts during the 2010-12 Canterbury, New Zealand, Earthquake Sequence
20142
10
Prospectively Evaluating the Collaboratory for the Study of Earthquake Predictability: An Evaluation of the UCERF2 and Updated Five-Year RELM Forecasts
20161
11
Developing Performance Measures for the CISN Earthquake Early Warning Testing Center
20091
12 20251

About M. Liukis

M. Liukis is a scholar working on Geophysics, Artificial Intelligence, Pulmonary and Respiratory Medicine, Atmospheric Science and Civil and Structural Engineering, having authored 12 papers that have together received 361 indexed citations. Recurring topics across this work include earthquake and tectonic studies (8 papers), Seismology and Earthquake Studies (7 papers), Earthquake Detection and Analysis (7 papers), Winter Sports Injuries and Performance (2 papers), Cryospheric studies and observations (2 papers), Isotope Analysis in Ecology (1 paper), Seismic Waves and Analysis (1 paper) and Planetary Science and Exploration (1 paper). The work is most often cited by research in Geophysics (325 citations), Artificial Intelligence (236 citations), Applied Mathematics (11 citations), Geology (4 citations) and Civil and Structural Engineering (14 citations). M. Liukis has collaborated with scholars based in United States, United Kingdom and New Zealand. Frequent co-authors include T. H. Jordan, P. J. Maechling, Danijel Schorlemmer, David A. Rhoades, Matthew C. Gerstenberger, J. D. Zechar, Annemarie Christophersen, Maximilian J. Werner, Warner Marzocchi and F. Euchner. Their work appears in journals such as Seismological Research Letters, Computing in Science & Engineering, Geophysical Journal International, ˜The œcryosphere and Concurrency and Computation Practice and Experience.

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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