Monica Sugan

589 total citations
28 papers, 370 citations indexed

About

Monica Sugan is a scholar working on Geophysics, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Monica Sugan has authored 28 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Geophysics, 7 papers in Ocean Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Monica Sugan's work include earthquake and tectonic studies (18 papers), Seismic Waves and Analysis (15 papers) and Earthquake Detection and Analysis (8 papers). Monica Sugan is often cited by papers focused on earthquake and tectonic studies (18 papers), Seismic Waves and Analysis (15 papers) and Earthquake Detection and Analysis (8 papers). Monica Sugan collaborates with scholars based in Italy, Japan and United States. Monica Sugan's co-authors include Alessandro Vuan, Aitaro Kato, Lauro Chiaraluce, Shigeki Nakagawa, H. Miyake, Raffaele Di Stefano, Emanuele Forte, M. Pipan, Angela Saraò and Giorgio Amati and has published in prestigious journals such as Geophysical Research Letters, Bulletin of the Seismological Society of America and Global and Planetary Change.

In The Last Decade

Monica Sugan

28 papers receiving 354 citations

Peers

Monica Sugan
Comparison fields: 5 of 30
  • Geophysics 343
  • Artificial Intelligence 108
  • Ocean Engineering 50
  • Civil and Structural Engineering 47
  • Management, Monitoring, Policy and Law 20
Replace Kaoru Sawazaki with:
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Kaoru Sawazaki Japan View profile →
Citations per field, relative to Monica Sugan
Monica Sugan · 1×
Citations per year, relative to Monica Sugan
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Countries citing papers authored by Monica Sugan

Since Specialization
Citations

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

Fields of papers citing papers by Monica Sugan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Sugan

This figure shows the co-authorship network connecting the top 25 collaborators of Monica Sugan. A scholar is included among the top collaborators of Monica Sugan 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 Monica Sugan. Monica Sugan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 9
3 24
4 3
5 19
6 20
7 1
8 13
9 28
10 59
11 8
12 7
13 9
14
Characterization and disaster management of landslides in the Nilgiris mountainous terrain of Tamil Nadu, India
7
15 6
16 10
17 2
18
Multi-fold GPR study of shallow structure and stratigraphy of unconsolidated sediments and rocks
2
19 3
20 24

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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