Sara Casciati

1.6k citations
98 papers · 1.3k indexed · h-index 23
Topics
Structural Health Monitoring Techniques (44 papers)Structural Engineering and Vibration Analysis (22 papers)Shape Memory Alloy Transformations (18 papers)
Journals
SHILAP Revista de lepidopterologíaEngineering StructuresComputers & Structures
Partner nations
ItalySpainUnited States

In The Last Decade

Sara Casciati

95 papers receiving 1.2k citations

Peers

Sara Casciati
Comparison fields: 5 of 73
  • Civil and Structural Engineering 1.1k
  • Materials Chemistry 258
  • Mechanical Engineering 212
  • Mechanics of Materials 155
  • Control and Systems Engineering 122
Replace Shunlong Li with:
Shunlong Li China
Jun Teng China
Jing Zhou China
Rafael Gallego Spain
Jin‐Hak Yi South Korea
Christian Crémona France
Gongkang Fu United States
Dong‐Hui Yang China
Angelo Aloisio Italy
Ziguang Jia China
Sara Casciati relative to Shunlong Li China Shunlong Li's profile →
Citations per field
00.5×3.7×
Shunlong Li · 1×
Citations per year

Countries citing papers authored by Sara Casciati

Since Specialization
Citations

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

Fields of papers citing papers by Sara Casciati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Casciati

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Casciati. A scholar is included among the top collaborators of Sara Casciati 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 Sara Casciati. Sara Casciati 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
#WorkIndexed citations
1 1
2 1
3 11
4 9
5 5
6 6
7 2
8 14
9 27
10 3
11 72
12
Reporting the Results of Two Experimental Campaigns on a Pedestrian Timber
1
13 2
14 1
15 14
16
A DC-Motor Based Active-Mass-Damper with Wireless Feedback for Structural Control
1
17
Multichannel cable replacement for structural control applications
1
18
Building a Robustness Index
2
19 1
20 41

About Sara Casciati

Sara Casciati is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Architecture, having authored 98 papers that have together received 1.3k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (44 papers), Structural Engineering and Vibration Analysis (22 papers) and Shape Memory Alloy Transformations (18 papers). The work is most often cited by research in Civil and Structural Engineering (1.1k citations), Statistics, Probability and Uncertainty (85 citations) and Geology (41 citations). Sara Casciati has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Lucia Faravelli, Fabio Casciati, Zhicong Chen, Lijun Wu, Ronaldo I. Borja, Marco Domaneschi, Vicenç Torra, D. Bortoluzzi, Patrick Terriault and Daniele Inaudi. Their work appears in journals such as SHILAP Revista de lepidopterología, Engineering Structures and Computers & Structures.

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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