Kyle Carson

465 citations
5 papers · 12 · h-index 3

Impact in

Papers in

    • Viral Infections and Outbreaks Research 1
    • SARS-CoV-2 and COVID-19 Research 1
    • SARS-CoV-2 detection and testing 1
    • COVID-19 Clinical Research Studies 1
    • Kawasaki Disease and Coronary Complications 2

Kyle Carson

4 papers receiving 11 citations

Peers

Kyle Carson
Comparison fields: 5 of 16
  • Biological Psychiatry 2
  • Behavioral Neuroscience 2
  • Health 2
  • Computer Networks and Communications 4
  • Information Systems 3
Replace F. Colamaria with:
F. Colamaria Italy
Sachin Chaudhary India
Alexandru Mahmoud United States
Jiachi Zhang China
Larry Kreeger
C. B. Gwilliam United Kingdom
Christophe Deschamps France
Vincent Llorens France
T. A. Beermann Germany
A. Chitan Switzerland
Kyle Carson relative to F. Colamaria Italy F. Colamaria's profile →
Citations per field
00.5×1.5×
F. Colamaria · 1×
Citations per year

Countries citing papers authored by Kyle Carson

Since Specialization
Citations

This map shows the geographic impact of Kyle Carson'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 Kyle Carson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Carson more than expected).

Fields of papers citing papers by Kyle Carson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle Carson. 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 Kyle Carson. The network helps show where Kyle Carson may publish in the future.

Co-authors

The 25 scholars most cited alongside Kyle Carson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kyle Carson Line = papers co-authored together Kyle Carson links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 20194
2 20243
3 20233
4 20222
5 20220

About Kyle Carson

Kyle Carson is a scholar working on Infectious Diseases, Surgery, Computer Networks and Communications, Health and Dermatology, having authored 5 papers that have together received 12 indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (2 papers), IoT and Edge/Fog Computing (1 paper), Software System Performance and Reliability (1 paper), Viral Infections and Outbreaks Research (1 paper), Cloud Computing and Resource Management (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), SARS-CoV-2 detection and testing (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Biological Psychiatry (2 citations), Behavioral Neuroscience (2 citations), Health (2 citations), Computer Networks and Communications (4 citations) and Information Systems (3 citations). Kyle Carson has collaborated with scholars based in United States and Germany. Frequent co-authors include William T. Lee, Markus Mock, Chandra Krintz, Rich Wolski, Juan C. Salazar, Kejun Guo, Kirsten St. George, David A. Lawrence, Joerg Graf and Justin D. Radolf. Their work appears in journals such as Viruses, Diagnostic Microbiology and Infectious Disease, Frontiers in Bioengineering and Biotechnology and American Journal of Tropical Medicine and Hygiene.

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.

Explore authors with similar magnitude of impact