Clara Grazian

918 total citations
19 papers, 106 citations indexed

About

Clara Grazian is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Clara Grazian has authored 19 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 2 papers in Molecular Biology. Recurrent topics in Clara Grazian's work include Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (4 papers) and Gaussian Processes and Bayesian Inference (4 papers). Clara Grazian is often cited by papers focused on Bayesian Methods and Mixture Models (7 papers), Statistical Methods and Bayesian Inference (4 papers) and Gaussian Processes and Bayesian Inference (4 papers). Clara Grazian collaborates with scholars based in Australia, Italy and United Kingdom. Clara Grazian's co-authors include Yanan Fan, Paola M. V. Rancoita, Derrick W. Crook, T. J. Davies, Daniela María Cirillo, Federica Cugnata, Ana Lúıza Gibertoni Cruz, A Sarah Walker, Sarah Hoosdally and Philip W. Fowler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Clara Grazian

17 papers receiving 103 citations

Peers

Clara Grazian
Comparison fields: 5 of 54
  • Epidemiology 49
  • Infectious Diseases 45
  • Artificial Intelligence 19
  • Statistics and Probability 13
  • Molecular Biology 12
Replace Xia Ma with:
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Benjamin Baugher United States
Daniel Faissol United States
Parimal Patel United States
Mardiana Marzuki Singapore
Cristina Rovelli Italy
Jinxiu Yao China
Lennert Verboven Belgium
Xia Ma China View profile →
Citations per field, relative to Clara Grazian
Clara Grazian · 1×
Citations per year, relative to Clara Grazian
Clara Grazian · 1×

Countries citing papers authored by Clara Grazian

Since Specialization
Citations

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

Fields of papers citing papers by Clara Grazian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clara Grazian

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 11
5 1
6 5
7 1
8 1
9 1
10 5
11 4
12 4
13 1
14 3
15 0
16 5
17 12
18 48
19 2

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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2026