Aaron J. Masino
- Artificial Intelligence top 10%
- Epidemiology
- Public Health, Environmental and Occupational Health top 10%
- Molecular Biology
- Health Information Management top 2%
- Co-authors
- Anne CocosAlexander G. FiksRobert W. GrundmeierXueqin PangChristopher B. ForrestFélice Lê‐ScherbanSvetlana OstapenkoMary Catherine Harris
- Topics
- Biomedical Text Mining and Ontologies (6 papers)Topic Modeling (5 papers)Neonatal and Maternal Infections (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEAnesthesiology
- Partner nations
- United StatesAustraliaArgentina
In The Last Decade
Aaron J. Masino
44 papers receiving 780 citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 201
- Epidemiology 156
- Public Health, Environmental and Occupational Health 147
- Molecular Biology 130
- Health Information Management 85
Countries citing papers authored by Aaron J. Masino
This map shows the geographic impact of Aaron J. Masino'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 Aaron J. Masino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron J. Masino more than expected).
Fields of papers citing papers by Aaron J. Masino
This network shows the impact of papers produced by Aaron J. Masino. 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 Aaron J. Masino. The network helps show where Aaron J. Masino may publish in the future.
Co-authorship network of co-authors of Aaron J. Masino
This figure shows the co-authorship network connecting the top 25 collaborators of Aaron J. Masino. A scholar is included among the top collaborators of Aaron J. Masino 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 Aaron J. Masino. Aaron J. Masino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 35 | |
| 9 | 29 | |
| 10 | 39 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | 9 | |
| 14 | 42 | |
| 15 | 12 | |
| 16 | Combining rule-based and neural network systems for extracting adverse reactions from drug labels. | 2 |
| 17 | 22 | |
| 18 | 22 | |
| 19 | 11 | |
| 20 | 30 |
About Aaron J. Masino
Aaron J. Masino is a scholar working on Health Informatics, Toxicology and Instrumentation, having authored 44 papers that have together received 801 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (6 papers), Topic Modeling (5 papers) and Neonatal and Maternal Infections (5 papers). The work is most often cited by research in Health Informatics (61 citations), Toxicology (74 citations) and Health Information Management (85 citations). Aaron J. Masino has collaborated with scholars based in United States, Australia and Argentina. Frequent co-authors include Anne Cocos, Alexander G. Fiks, Robert W. Grundmeier, Xueqin Pang, Christopher B. Forrest, Félice Lê‐Scherban, Svetlana Ostapenko, Mary Catherine Harris, Lakshmi Srinivasan and Christopher P. Bonafide. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Anesthesiology.
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.