Alexander W. Charney
- Infectious Diseases top 2%
- Neurology top 5%
- Health Informatics top 0.2%
- Molecular Biology
- Artificial Intelligence top 5%
- Co-authors
- Girish N. NadkarniBenjamin S. GlicksbergMatthew A. LevinJagat NarulaZahi A. FayadShan ZhaoAnuradha LalaValentı́n Fuster
- Topics
- Machine Learning in Healthcare (12 papers)Artificial Intelligence in Healthcare and Education (10 papers)COVID-19 Clinical Research Studies (8 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Alexander W. Charney
59 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Infectious Diseases 653
- Neurology 393
- Health Informatics 291
- Molecular Biology 243
- Artificial Intelligence 225
Countries citing papers authored by Alexander W. Charney
This map shows the geographic impact of Alexander W. Charney'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 Alexander W. Charney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander W. Charney more than expected).
Fields of papers citing papers by Alexander W. Charney
This network shows the impact of papers produced by Alexander W. Charney. 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 Alexander W. Charney. The network helps show where Alexander W. Charney may publish in the future.
Co-authorship network of co-authors of Alexander W. Charney
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander W. Charney. A scholar is included among the top collaborators of Alexander W. Charney 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 Alexander W. Charney. Alexander W. Charney 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 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 16 | |
| 9 | 6 | |
| 10 | 48 | |
| 11 | 58 | |
| 12 | 23 | |
| 13 | 2 | |
| 14 | 8 | |
| 15 | 15 | |
| 16 | 61 | |
| 17 | 13 | |
| 18 | 59 | |
| 19 | 6 | |
| 20 | 90 |
About Alexander W. Charney
Alexander W. Charney is a scholar working on Health Informatics, Family Practice and Health Information Management, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (12 papers), Artificial Intelligence in Healthcare and Education (10 papers) and COVID-19 Clinical Research Studies (8 papers). The work is most often cited by research in Health Informatics (291 citations), Internal Medicine (199 citations) and Infectious Diseases (653 citations). Alexander W. Charney has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Girish N. Nadkarni, Benjamin S. Glicksberg, Matthew A. Levin, Jagat Narula, Zahi A. Fayad, Shan Zhao, Anuradha Lala, Valentı́n Fuster, Adam Russak and Ishan Paranjpe. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature 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.