Y. Y. Kagan
- Geophysics top 0.1%
- Artificial Intelligence top 0.2%
- Economics and Econometrics top 1%
- Civil and Structural Engineering top 2%
- Atmospheric Science top 10%
- Co-authors
- D. D. JacksonL. KnopoffFrancesco MulargiaAgnès HelmstetterRobert J. GellerFrederic Paik SchoenbergSilvia CastellaroPeter Bird
- Topics
- earthquake and tectonic studies (98 papers)Earthquake Detection and Analysis (60 papers)High-pressure geophysics and materials (43 papers)
- Partner nations
- United StatesRussiaItaly
In The Last Decade
Y. Y. Kagan
112 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Geophysics 7.5k
- Artificial Intelligence 2.8k
- Economics and Econometrics 1.1k
- Civil and Structural Engineering 480
- Atmospheric Science 237
Countries citing papers authored by Y. Y. Kagan
This map shows the geographic impact of Y. Y. Kagan'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 Y. Y. Kagan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Y. Kagan more than expected).
Fields of papers citing papers by Y. Y. Kagan
This network shows the impact of papers produced by Y. Y. Kagan. 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 Y. Y. Kagan. The network helps show where Y. Y. Kagan may publish in the future.
Co-authorship network of co-authors of Y. Y. Kagan
This figure shows the co-authorship network connecting the top 25 collaborators of Y. Y. Kagan. A scholar is included among the top collaborators of Y. Y. Kagan 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 Y. Y. Kagan. Y. Y. Kagan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 101 | |
| 4 | 67 | |
| 5 | 34 | |
| 6 | 62 | |
| 7 | High-Resolution Long-Term Earthquake Forecasts for California and Italy | 1 |
| 8 | 13 | |
| 9 | Prospective Tests of Southern California Earthquake Forecasts | 2 |
| 10 | Comparison of Short-term and Long-term Earthquake Forecast Models for Southern California | 5 |
| 11 | 266 | |
| 12 | Testing hypotheses of earthquake occurrence | 3 |
| 13 | Plate-Tectonic Analysis of Shallow Seismicity: Apparent Boundary Width, beta-Value, Corner Magnitude, Coupled Lithosphere Thickness, and Coupling in 7 Tectonic Settings | 4 |
| 14 | 32 | |
| 15 | 18 | |
| 16 | 88 | |
| 17 | 112 | |
| 18 | 5 | |
| 19 | 8 | |
| 20 | 13 |
About Y. Y. Kagan
Y. Y. Kagan is a scholar working on Geophysics, Artificial Intelligence and Economics and Econometrics, having authored 112 papers that have together received 8.5k indexed citations. Recurring topics across this work include earthquake and tectonic studies (98 papers), Earthquake Detection and Analysis (60 papers) and High-pressure geophysics and materials (43 papers). The work is most often cited by research in Geophysics (7.5k citations), Artificial Intelligence (2.8k citations) and Economics and Econometrics (1.1k citations). Y. Y. Kagan has collaborated with scholars based in United States, Russia and Italy. Frequent co-authors include D. D. Jackson, L. Knopoff, Francesco Mulargia, Agnès Helmstetter, Robert J. Geller, Frederic Paik Schoenberg, Silvia Castellaro, Peter Bird, Y. Rong and G. M. Molchan. Their work appears in journals such as Nature, Science and Journal of Geophysical Research Atmospheres.
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.