Alex Kronzer
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- Cardiac, Anesthesia and Surgical Outcomes
Papers in
-
- Cardiac, Anesthesia and Surgical Outcomes 5
- Surgery 4
- Hemodynamic Monitoring and Therapy 3
- Co-authors
- Arbi Ben Abdallah (5 shared papers)Michael S. Avidan (5 shared papers)Christopher R. King (4 shared papers)Bradley A. Fritz (5 shared papers)Yixin Chen (2 shared papers)Muhan Zhang (1 shared paper)Zhicheng Cui (1 shared paper)Yujie He (1 shared paper)
- Journals
- British Journal of Anaesthesia (4 papers)Anesthesia & Analgesia (1 paper)BMJ Open (1 paper)Critical Care Medicine (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Alex Kronzer
6 papers receiving 155 citations
Peers
Comparison fields: 5 of 46
- Health Informatics 33
- Cardiology and Cardiovascular Medicine 88
- Anesthesiology and Pain Medicine 19
- Critical Care and Intensive Care Medicine 11
- Health Information Management 9
Countries citing papers authored by Alex Kronzer
This map shows the geographic impact of Alex Kronzer'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 Alex Kronzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Kronzer more than expected).
Fields of papers citing papers by Alex Kronzer
This network shows the impact of papers produced by Alex Kronzer. 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 Alex Kronzer. The network helps show where Alex Kronzer may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Kronzer, 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 | 2019 | 77 | |
| 2 | 2019 | 35 | |
| 3 | 2018 | 28 | |
| 4 | 2020 | 12 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2022 | 0 |
About Alex Kronzer
Alex Kronzer is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Critical Care and Intensive Care Medicine, Anesthesiology and Pain Medicine and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 157 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (5 papers), Hemodynamic Monitoring and Therapy (3 papers), Intensive Care Unit Cognitive Disorders (2 papers), Frailty in Older Adults (1 paper), Anesthesia and Sedative Agents (1 paper), Machine Learning in Healthcare (1 paper), Forecasting Techniques and Applications (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Health Informatics (33 citations), Cardiology and Cardiovascular Medicine (88 citations), Anesthesiology and Pain Medicine (19 citations), Critical Care and Intensive Care Medicine (11 citations) and Health Information Management (9 citations). Alex Kronzer has collaborated with scholars based in United States and Canada. Frequent co-authors include Arbi Ben Abdallah, Michael S. Avidan, Christopher R. King, Bradley A. Fritz, Yixin Chen, Muhan Zhang, Zhicheng Cui, Yujie He, Troy S. Wildes and Stephen H. Gregory. Their work appears in journals such as British Journal of Anaesthesia, Anesthesia & Analgesia, BMJ Open and Critical Care 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.