Kevin R. Ward
- Epidemiology top 0.2%
- Surgery top 0.5%
- Critical Care and Intensive Care Medicine top 0.05%
- Emergency Medicine top 0.1%
- Pulmonary and Respiratory Medicine top 1%
- Co-authors
- Suzanne HavstadEmanuel P. RiversJulie A. ResslerBernhard KnoblichMichael TomlanovichKayvan NajarianZ. Hugh FanRobert F. Diegelmann
- Topics
- Cardiac Arrest and Resuscitation (40 papers)Non-Invasive Vital Sign Monitoring (35 papers)Trauma, Hemostasis, Coagulopathy, Resuscitation (33 papers)
- Partner nations
- United StatesUnited KingdomIran
In The Last Decade
Kevin R. Ward
376 papers receiving 15.6k citations
Hit Papers
Peers
Comparison fields: 5 of 219
- Epidemiology 5.3k
- Surgery 4.0k
- Critical Care and Intensive Care Medicine 3.0k
- Emergency Medicine 2.6k
- Pulmonary and Respiratory Medicine 1.9k
Countries citing papers authored by Kevin R. Ward
This map shows the geographic impact of Kevin R. Ward'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 Kevin R. Ward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin R. Ward more than expected).
Fields of papers citing papers by Kevin R. Ward
This network shows the impact of papers produced by Kevin R. Ward. 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 Kevin R. Ward. The network helps show where Kevin R. Ward may publish in the future.
Co-authorship network of co-authors of Kevin R. Ward
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin R. Ward. A scholar is included among the top collaborators of Kevin R. Ward 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 Kevin R. Ward. Kevin R. Ward is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 23 | |
| 4 | 14 | |
| 5 | 18 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 18 | |
| 11 | 22 | |
| 12 | 31 | |
| 13 | 19 | |
| 14 | 32 | |
| 15 | Actual Brain Midline Detection using Level Set Segmentation and Window Selection | 0 |
| 16 | Finding an Optimal Model for Prediction of Shock Outcomes through Machine Learning | 1 |
| 17 | 53 | |
| 18 | 13 | |
| 19 | Abstract P115: Prediction of Severity of Blood Volume Loss Using ECG Features Based on P, QRS, and T Waves | 1 |
| 20 | 3 |
About Kevin R. Ward
Kevin R. Ward is a scholar working on Critical Care and Intensive Care Medicine, Emergency Medicine and Religious studies, having authored 402 papers that have together received 16.3k indexed citations. Recurring topics across this work include Cardiac Arrest and Resuscitation (40 papers), Non-Invasive Vital Sign Monitoring (35 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (33 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (3.0k citations), Emergency Medicine (2.6k citations) and Family Practice (422 citations). Kevin R. Ward has collaborated with scholars based in United States, United Kingdom and Iran. Frequent co-authors include Suzanne Havstad, Emanuel P. Rivers, Julie A. Ressler, Bernhard Knoblich, Michael Tomlanovich, Kayvan Najarian, Z. Hugh Fan, Robert F. Diegelmann, Tarynn M. Witten and Nathan B. Menke. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of Clinical Investigation.
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.