Janos Hajagos
- Artificial Intelligence top 10%
- Molecular Biology
- Statistics, Probability and Uncertainty top 2%
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Scott FersonEgon WillighagenMatthias SamwaldElgar PichlerSusie StephensEric Prud’hommeauxMichael S. MarshallJoel Saltz
- Topics
- Biomedical Text Mining and Ontologies (7 papers)Machine Learning in Healthcare (5 papers)Probabilistic and Robust Engineering Design (5 papers)
- Cited by
- Statistics, Probability and UncertaintyHealth InformaticsComputational Theory and Mathematics
- Journals
- Journal of the American Medical Informatics AssociationReliability Engineering & System SafetySurgical Endoscopy
- Partner nations
- United StatesNetherlandsIreland
In The Last Decade
Janos Hajagos
24 papers receiving 516 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 181
- Molecular Biology 132
- Statistics, Probability and Uncertainty 130
- Computational Theory and Mathematics 98
- Management Science and Operations Research 73
Countries citing papers authored by Janos Hajagos
This map shows the geographic impact of Janos Hajagos'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 Janos Hajagos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janos Hajagos more than expected).
Fields of papers citing papers by Janos Hajagos
This network shows the impact of papers produced by Janos Hajagos. 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 Janos Hajagos. The network helps show where Janos Hajagos may publish in the future.
Co-authorship network of co-authors of Janos Hajagos
This figure shows the co-authorship network connecting the top 25 collaborators of Janos Hajagos. A scholar is included among the top collaborators of Janos Hajagos 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 Janos Hajagos. Janos Hajagos 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 | 5 | |
| 3 | 20 | |
| 4 | 5 | |
| 5 | 12 | |
| 6 | 4 | |
| 7 | 39 | |
| 8 | 2 | |
| 9 | Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy. | 16 |
| 10 | 5 | |
| 11 | Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records. | 36 |
| 12 | 2 | |
| 13 | 19 | |
| 14 | OpenHealth Platform for Interactive Contextualization of Population Health Open Data. | 3 |
| 15 | 50 | |
| 16 | 121 | |
| 17 | 17 | |
| 18 | 8 | |
| 19 | 23 | |
| 20 | A visual survey of the inshore fish communities of Gran Canaria (Canary Islands). | 3 |
About Janos Hajagos
Janos Hajagos is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management and Health Information Management, having authored 25 papers that have together received 546 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Machine Learning in Healthcare (5 papers) and Probabilistic and Robust Engineering Design (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (130 citations), Health Informatics (14 citations) and Computational Theory and Mathematics (98 citations). Janos Hajagos has collaborated with scholars based in United States, Netherlands and Ireland. Frequent co-authors include Scott Ferson, Egon Willighagen, Matthias Samwald, Elgar Pichler, Susie Stephens, Eric Prud’hommeaux, Michael S. Marshall, Joel Saltz, Christopher M. L. S. Bouton and Oktie Hassanzadeh. Their work appears in journals such as Journal of the American Medical Informatics Association, Reliability Engineering & System Safety and Surgical Endoscopy.
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.