R.S. Johannes
- Epidemiology top 5%
- Surgery top 5%
- Critical Care and Intensive Care Medicine top 1%
- Oncology top 10%
- Artificial Intelligence top 5%
- Co-authors
- Ying P. TabakVikas GuptaMarin H. KollefLarry Z. LiuAndrew F. ShorrXiaowu SunDarwin L. ConwellPeter A. Banks
- Topics
- Machine Learning in Healthcare (2 papers)Emergency and Acute Care Studies (2 papers)Healthcare Policy and Management (2 papers)
- Cited by
- Critical Care and Intensive Care MedicineApplied Microbiology and BiotechnologyHealth Information Management
- Journals
- SHILAP Revista de lepidopterologíaGutCHEST Journal
- Partner nations
- United StatesGermany
In The Last Decade
R.S. Johannes
14 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Epidemiology 650
- Surgery 609
- Critical Care and Intensive Care Medicine 436
- Oncology 414
- Artificial Intelligence 374
Countries citing papers authored by R.S. Johannes
This map shows the geographic impact of R.S. Johannes'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 R.S. Johannes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.S. Johannes more than expected).
Fields of papers citing papers by R.S. Johannes
This network shows the impact of papers produced by R.S. Johannes. 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 R.S. Johannes. The network helps show where R.S. Johannes may publish in the future.
Co-authorship network of co-authors of R.S. Johannes
This figure shows the co-authorship network connecting the top 25 collaborators of R.S. Johannes. A scholar is included among the top collaborators of R.S. Johannes 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 R.S. Johannes. R.S. Johannes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 116 | |
| 3 | The early prediction of mortality in acute pancreatitis: a large population-based studybreakdown → | 576 |
| 4 | 51 | |
| 5 | 19 | |
| 6 | Epidemiology and Outcomes of Health-care–Associated Pneumoniabreakdown → | 721 |
| 7 | 1 | |
| 8 | 1 | |
| 9 | Designing an emergency medicine physician workstation to support risk management in decision making. | 2 |
| 10 | 8 | |
| 11 | 18 | |
| 12 | Using the ADAP Learning Algorithm to Forecast the Onset of Diabetes Mellitusbreakdown → | 473 |
| 13 | 43 | |
| 14 | 17 |
About R.S. Johannes
R.S. Johannes is a scholar working on Health Information Management, Nephrology and Emergency Medicine, having authored 14 papers that have together received 2.1k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (2 papers), Emergency and Acute Care Studies (2 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (436 citations), Applied Microbiology and Biotechnology (88 citations) and Health Information Management (158 citations). R.S. Johannes has collaborated with scholars based in United States and Germany. Frequent co-authors include Ying P. Tabak, Vikas Gupta, Marin H. Kollef, Larry Z. Liu, Andrew F. Shorr, Xiaowu Sun, Darwin L. Conwell, Peter A. Banks, Bing Wu and William C. Knowler. Their work appears in journals such as SHILAP Revista de lepidopterología, Gut and CHEST Journal.
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.