Boris Babic
- Health Informatics top 0.5%
- Artificial Intelligence top 10%
- Safety Research top 5%
- Public Health, Environmental and Occupational Health
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- I. Glenn CohenTheodoros EvgeniouSara GerkeKlaus WertenbrochRobert L. WinklerIlia TsetlinAriel Dora SternAnil Gaba
- Topics
- Artificial Intelligence in Healthcare and Education (7 papers)Epistemology, Ethics, and Metaphysics (5 papers)Psychology of Moral and Emotional Judgment (3 papers)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Boris Babic
14 papers receiving 443 citations
Peers
Comparison fields: 5 of 102
- Health Informatics 229
- Artificial Intelligence 133
- Safety Research 75
- Public Health, Environmental and Occupational Health 74
- Radiology, Nuclear Medicine and Imaging 64
Countries citing papers authored by Boris Babic
This map shows the geographic impact of Boris Babic'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 Boris Babic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Babic more than expected).
Fields of papers citing papers by Boris Babic
This network shows the impact of papers produced by Boris Babic. 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 Boris Babic. The network helps show where Boris Babic may publish in the future.
Co-authorship network of co-authors of Boris Babic
This figure shows the co-authorship network connecting the top 25 collaborators of Boris Babic. A scholar is included among the top collaborators of Boris Babic 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 Boris Babic. Boris Babic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 16 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | When Machine Learning Goes Off the Rails | 5 |
| 7 | Direct-to-Consumer Medical Machine Learning and Artificial Intelligence Applications | 2 |
| 8 | When machine learning goes off the rails a guide to managing the risks | 5 |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 127 | |
| 12 | 33 | |
| 13 | A better way to onboard ai understand it as a tool to assist rather than replace people. | 3 |
| 14 | 170 | |
| 15 | 15 | |
| 16 | 70 |
About Boris Babic
Boris Babic is a scholar working on Health Informatics, General Decision Sciences and Philosophy, having authored 16 papers that have together received 464 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (7 papers), Epistemology, Ethics, and Metaphysics (5 papers) and Psychology of Moral and Emotional Judgment (3 papers). The work is most often cited by research in Health Informatics (229 citations), Safety Research (75 citations) and Medical Laboratory Technology (13 citations). Boris Babic has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include I. Glenn Cohen, Theodoros Evgeniou, Sara Gerke, Klaus Wertenbroch, Robert L. Winkler, Ilia Tsetlin, Ariel Dora Stern, Anil Gaba, Daniel L. Chen and Anne‐Laure Fayard. Their work appears in journals such as Science, Harvard business review and npj Digital Medicine.
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.