Jessica Gliozzo
- Industrial and Manufacturing Engineering top 5%
- Molecular Biology
- Artificial Intelligence
- Biomedical Engineering
- Computer Networks and Communications
- Co-authors
- Elena CasiraghiAlessandro PetriniBarbara Rita BarricelliStefano ValtolinaGiorgio ValentiniMarco MesitiMarco NotaroPeter N. Robinson
- Topics
- Bioinformatics and Genomic Networks (11 papers)Machine Learning in Bioinformatics (6 papers)Gene expression and cancer classification (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Jessica Gliozzo
17 papers receiving 269 citations
Peers
Comparison fields: 5 of 87
- Industrial and Manufacturing Engineering 105
- Molecular Biology 62
- Artificial Intelligence 38
- Biomedical Engineering 27
- Computer Networks and Communications 22
Countries citing papers authored by Jessica Gliozzo
This map shows the geographic impact of Jessica Gliozzo'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 Jessica Gliozzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica Gliozzo more than expected).
Fields of papers citing papers by Jessica Gliozzo
This network shows the impact of papers produced by Jessica Gliozzo. 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 Jessica Gliozzo. The network helps show where Jessica Gliozzo may publish in the future.
Co-authorship network of co-authors of Jessica Gliozzo
This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Gliozzo. A scholar is included among the top collaborators of Jessica Gliozzo 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 Jessica Gliozzo. Jessica Gliozzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 18 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 159 | |
| 14 | 8 | |
| 15 | 11 | |
| 16 | 13 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 1 |
About Jessica Gliozzo
Jessica Gliozzo is a scholar working on Dermatology, Molecular Biology and Health Information Management, having authored 21 papers that have together received 279 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Machine Learning in Bioinformatics (6 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (105 citations), Health Informatics (9 citations) and Human-Computer Interaction (10 citations). Jessica Gliozzo has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Elena Casiraghi, Alessandro Petrini, Barbara Rita Barricelli, Stefano Valtolina, Giorgio Valentini, Marco Mesiti, Marco Notaro, Peter N. Robinson, Alberto Paccanaro and Emilio Berti. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.