Henry Rolka

533 citations
15 papers · 398 · h-index 11

Impact in

Papers in

Henry Rolka

15 papers receiving 373 citations

Peers

Henry Rolka
Comparison fields: 5 of 94
  • Hematology 104
  • Statistics, Probability and Uncertainty 49
  • Statistics and Probability 48
  • Health 44
  • Toxicology 13
Replace A. J. E. Flower with:
A. J. E. Flower United Kingdom
Laurence P. Skendzel United States
George Alemnji United States
Brigitte Walther Gambia
L. New United Kingdom
Margaret Kweku Ghana
Nafiu Hussaini Nigeria
Shereen Katrak United States
Jon Smith United States
Elizabeth Petzold United States
Henry Rolka relative to A. J. E. Flower United Kingdom A. J. E. Flower's profile →
Citations per field
00.5×8.2×
A. J. E. Flower · 1×
Citations per year

Countries citing papers authored by Henry Rolka

Since Specialization
Citations

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

Fields of papers citing papers by Henry Rolka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Henry Rolka, 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 Henry Rolka Line = papers co-authored together Henry Rolka links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1996106
2 200768
3 200143
4 199639
5 199630
6 199625
7 200521
8 200018
9 200616
10 200312
11
Analytical challenges for emerging public health surveillance.
201210
12 19984
13 20084
14
Data Mining for Post-Licensure Vaccine Safety and Policy Implications for Using Results
20011
15
Proceedings of the 2008 International Workshop on Biosurveillance and Biosecurity
20081

About Henry Rolka

Henry Rolka is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, General Health Professions and Sociology and Political Science, having authored 15 papers that have together received 398 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (5 papers), Bacillus and Francisella bacterial research (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Zoonotic diseases and public health (2 papers), Public Health Policies and Education (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Infection Control and Ventilation (1 paper) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Hematology (104 citations), Statistics, Probability and Uncertainty (49 citations), Statistics and Probability (48 citations), Health (44 citations) and Toxicology (13 citations). Henry Rolka has collaborated with scholars based in United States, Uganda and Japan. Frequent co-authors include Peter J. Smith, Steven M. Teutsch, Bruce L. Evatt, Deborah B. Rolka, David Madigan, Weng‐Keen Wong, Stephan S. Monroe, Lawrence Barker, Diane M. Dwyer and Howard Burkom. Their work appears in journals such as Infection Control and Hospital Epidemiology, Statistics in Medicine, The American Statistician, The Journal of Pediatrics and Birth Defects Research Part A Clinical and Molecular Teratology.

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