Aaron J. Masino
- Health Informatics top 2%
- Toxicology top 2%
- Artificial Intelligence top 10%
- Topic Modeling 5
- Machine Learning in Healthcare 4
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- Biomedical Text Mining and Ontologies 6
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- Neonatal and Maternal Infections 5
- Obesity, Physical Activity, Diet 3
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- Sepsis Diagnosis and Treatment 5
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- Optical Wireless Communication Technologies 4
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- Autism Spectrum Disorder Research 4
- Co-authors
- Anne CocosAlexander G. FiksRobert W. GrundmeierXueqin PangChristopher B. ForrestFélice Lê‐ScherbanSvetlana OstapenkoMary Catherine Harris
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (3 papers)Anesthesiology (1 paper)
- Partner nations
- United StatesAustraliaArgentina
In The Last Decade
Aaron J. Masino
44 papers receiving 780 citations
Peers
Comparison fields: 5 of 118
- Health Informatics 61
- Toxicology 74
- Health Information Management 85
- Family Practice 14
- Artificial Intelligence 201
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
The 25 scholars most cited alongside Aaron J. Masino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 35 | |
| 9 | 2020 | 29 | |
| 10 | 2020 | 39 | |
| 11 | 2020 | 5 | |
| 12 | 2019 | 6 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 42 | |
| 15 | 2018 | 12 | |
| 16 | Combining rule-based and neural network systems for extracting adverse reactions from drug labels. | 2017 | 2 |
| 17 | 2017 | 22 | |
| 18 | 2016 | 22 | |
| 19 | 2016 | 11 | |
| 20 | 2016 | 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), Neonatal and Maternal Infections (5 papers), Sepsis Diagnosis and Treatment (5 papers), Optical Wireless Communication Technologies (4 papers), Autism Spectrum Disorder Research (4 papers), Machine Learning in Healthcare (4 papers) and Obesity, Physical Activity, Diet (3 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.