J. D. Pesicek
- Geophysics top 2%
- Geology top 2%
- Artificial Intelligence top 10%
- Civil and Structural Engineering
- Atmospheric Science
- Co-authors
- C. H. ThurberSri WidiyantoroHeather R. DeShonE. R. EngdahlHaijiang ZhangS. G. PrejeanDietrich LangeS. E. Ogburn
- Topics
- earthquake and tectonic studies (26 papers)Seismic Waves and Analysis (14 papers)High-pressure geophysics and materials (14 papers)
- Partner nations
- United StatesIndonesiaGermany
In The Last Decade
J. D. Pesicek
33 papers receiving 783 citations
Peers
Comparison fields: 5 of 33
- Geophysics 761
- Geology 178
- Artificial Intelligence 137
- Civil and Structural Engineering 21
- Atmospheric Science 21
Countries citing papers authored by J. D. Pesicek
This map shows the geographic impact of J. D. Pesicek'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. D. Pesicek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. D. Pesicek more than expected).
Fields of papers citing papers by J. D. Pesicek
This network shows the impact of papers produced by J. D. Pesicek. 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. D. Pesicek. The network helps show where J. D. Pesicek may publish in the future.
Co-authorship network of co-authors of J. D. Pesicek
This figure shows the co-authorship network connecting the top 25 collaborators of J. D. Pesicek. A scholar is included among the top collaborators of J. D. Pesicek 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 J. D. Pesicek. J. D. Pesicek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 14 | |
| 5 | 43 | |
| 6 | 1 | |
| 7 | The use of incomplete global data for probabilistic event trees: challenges and strategies | 1 |
| 8 | 20 | |
| 9 | The Eruption Forecasting Information System (EFIS) database project | 1 |
| 10 | The Eruption Forecasting Information System: Volcanic Eruption Forecasting Using Databases | 2 |
| 11 | 42 | |
| 12 | 14 | |
| 13 | Seismic site characterization for the Deep Fault Drilling Project (DFDP), Alpine Fault, New Zealand: Preliminary results from the WIZARD array | 1 |
| 14 | 82 | |
| 15 | Comparison of Seismicity Preceding the 1989-1990 and 2009 Eruptions of Redoubt Volcano, Alaska | 1 |
| 16 | 128 | |
| 17 | Structure of the Sumatra-Andaman subduction zone | 3 |
| 18 | 13 | |
| 19 | Seismicity and Structure of the Katmai Volcanic Cluster, Alaska, Revealed | 1 |
| 20 | 72 |
About J. D. Pesicek
J. D. Pesicek is a scholar working on Geophysics, Geology and Artificial Intelligence, having authored 33 papers that have together received 811 indexed citations. Recurring topics across this work include earthquake and tectonic studies (26 papers), Seismic Waves and Analysis (14 papers) and High-pressure geophysics and materials (14 papers). The work is most often cited by research in Geophysics (761 citations), Geology (178 citations) and Artificial Intelligence (137 citations). J. D. Pesicek has collaborated with scholars based in United States, Indonesia and Germany. Frequent co-authors include C. H. Thurber, Sri Widiyantoro, Heather R. DeShon, E. R. Engdahl, Haijiang Zhang, S. G. Prejean, Dietrich Lange, S. E. Ogburn, Brad Artman and Hasbi Ash Shiddiqi. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Geophysics.
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.