J. Searcy

82.9k citations
11 papers · 142 · h-index 7

Impact in

    • Earthquake Detection and Analysis
    • earthquake and tectonic studies
    • Seismic Waves and Analysis
    • Seismology and Earthquake Studies
    • Anomaly Detection Techniques and Applications

Papers in

    • Seismology and Earthquake Studies 4
    • Earthquake Detection and Analysis 3
    • earthquake and tectonic studies 3
    • Seismic Waves and Analysis 2

J. Searcy

8 papers receiving 140 citations

Peers

J. Searcy
Comparison fields: 5 of 47
  • Geophysics 65
  • Artificial Intelligence 77
  • Nuclear and High Energy Physics 23
  • Modeling and Simulation 5
  • Accounting 6
Replace Alessandro Sotgiu with:
Alessandro Sotgiu Italy
Rui-Qing Xiao China
Shyam Nandan Switzerland
A. S. Ubhi United Kingdom
M. Tibbits United States
Karen Meyer United Kingdom
D. Pacheco Germany
N. Agueda Spain
Michele Gentili Italy
N. Aritomi Japan
J. Searcy relative to Alessandro Sotgiu Italy Alessandro Sotgiu's profile →
Citations per field
00.5×5.8×
Alessandro Sotgiu · 1×
Citations per year

Countries citing papers authored by J. Searcy

Since Specialization
Citations

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

Fields of papers citing papers by J. Searcy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Searcy, 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 J. Searcy Line = papers co-authored together J. Searcy links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 202143
2 201626
3 202117
4 202216
5 202216
6 20239
7 20239
8 20236
9 20250
10 20190
11 20220

About J. Searcy

J. Searcy is a scholar working on Artificial Intelligence, Geophysics, Modeling and Simulation, Nuclear and High Energy Physics and Strategy and Management, having authored 11 papers that have together received 142 indexed citations. Recurring topics across this work include Seismology and Earthquake Studies (4 papers), Earthquake Detection and Analysis (3 papers), earthquake and tectonic studies (3 papers), Seismic Waves and Analysis (2 papers), Particle physics theoretical and experimental studies (2 papers), COVID-19 epidemiological studies (2 papers), Neutrino Physics Research (2 papers) and Facility Location and Emergency Management (1 paper). The work is most often cited by research in Geophysics (65 citations), Artificial Intelligence (77 citations), Nuclear and High Energy Physics (23 citations), Modeling and Simulation (5 citations) and Accounting (6 citations). J. Searcy has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Diego Melgar, Jiun‐Ting Lin, Amanda M. Thomas, M.-A. Pleier, J. Zhu, Valerie J. Sahakian, D. R. Shelly, Asaf Inbal, Roland Bürgmann and Camille C. Cioffi. Their work appears in journals such as Prevention Science, Journal of Geophysical Research Solid Earth, JAMA Network Open, The Accounting Review and Physical review. D.

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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