Grazia La Cava

14 papers and 416 indexed citations i.

About

Grazia La Cava is a scholar working on Safety, Risk, Reliability and Quality, Civil and Structural Engineering and Radiological and Ultrasound Technology. According to data from OpenAlex, Grazia La Cava has authored 14 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Safety, Risk, Reliability and Quality, 9 papers in Civil and Structural Engineering and 5 papers in Radiological and Ultrasound Technology. Recurrent topics in Grazia La Cava’s work include Analysis of Traffic Safety and Driver Behavior (10 papers), Infrastructure Maintenance and Monitoring (9 papers) and Occupational Health and Safety Research (5 papers). Grazia La Cava is often cited by papers focused on Analysis of Traffic Safety and Driver Behavior (10 papers), Infrastructure Maintenance and Monitoring (9 papers) and Occupational Health and Safety Research (5 papers). Grazia La Cava collaborates with scholars based in Italy, Canada and Germany. Grazia La Cava's co-authors include Salvatore Cafiso, Alessandro Di Graziano, Alfonso Montella, Bhagwant Persaud, Giuseppina Pappalardo and Ruediger Lamm and has published in prestigious journals such as Accident Analysis & Prevention, Transportation Research Record Journal of the Transportation Research Board and DOAJ (DOAJ: Directory of Open Access Journals).

In The Last Decade

Co-authorship network of co-authors of Grazia La Cava i

Fields of papers citing papers by Grazia La Cava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grazia La Cava. 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 Grazia La Cava. The network helps show where Grazia La Cava may publish in the future.

Countries citing papers authored by Grazia La Cava

Since Specialization
Citations

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

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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