Mónica Segovia
- Geophysics top 5%
- Artificial Intelligence
- Civil and Structural Engineering
- Atmospheric Science
- Geology
- Co-authors
- Yvonne FontP. JarrínSandro VacaPatricia MothesJean‐Mathieu NocquetHugo YépesDavid A. CisnerosAlexandra Alvarado
- Topics
- earthquake and tectonic studies (20 papers)Earthquake Detection and Analysis (9 papers)Geological and Tectonic Studies in Latin America (9 papers)
- Partner nations
- EcuadorFranceUnited States
In The Last Decade
Mónica Segovia
22 papers receiving 613 citations
Peers
Comparison fields: 5 of 40
- Geophysics 588
- Artificial Intelligence 70
- Civil and Structural Engineering 39
- Atmospheric Science 27
- Geology 21
Countries citing papers authored by Mónica Segovia
This map shows the geographic impact of Mónica Segovia'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 Mónica Segovia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica Segovia more than expected).
Fields of papers citing papers by Mónica Segovia
This network shows the impact of papers produced by Mónica Segovia. 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 Mónica Segovia. The network helps show where Mónica Segovia may publish in the future.
Co-authorship network of co-authors of Mónica Segovia
This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Segovia. A scholar is included among the top collaborators of Mónica Segovia 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 Mónica Segovia. Mónica Segovia 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 23 | |
| 11 | 44 | |
| 12 | 5 | |
| 13 | 99 | |
| 14 | Intense Microseismicity Associated with a SSE at La Plata Island in the Central Subduction Zone of Ecuador | 5 |
| 15 | 88 | |
| 16 | 53 | |
| 17 | 62 | |
| 18 | The ADN project : an integrated seismic monitoring of the northern Ecuadorian subduction | 1 |
| 19 | 16 | |
| 20 | Seismic swarm in Quito (Ecuador) : tectonic or volcanic origin ? | 2 |
About Mónica Segovia
Mónica Segovia is a scholar working on Geophysics, Artificial Intelligence and Geology, having authored 24 papers that have together received 625 indexed citations. Recurring topics across this work include earthquake and tectonic studies (20 papers), Earthquake Detection and Analysis (9 papers) and Geological and Tectonic Studies in Latin America (9 papers). The work is most often cited by research in Geophysics (588 citations), Geology (21 citations) and Artificial Intelligence (70 citations). Mónica Segovia has collaborated with scholars based in Ecuador, France and United States. Frequent co-authors include Yvonne Font, P. Jarrín, Sandro Vaca, Patricia Mothes, Jean‐Mathieu Nocquet, Hugo Yépes, David A. Cisneros, Alexandra Alvarado, F. Rolandone and Marc Régnier. Their work appears in journals such as Nature, Earth and Planetary Science Letters and Geophysical Research Letters.
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.