Victor Hasselblad
- Pulmonary and Respiratory Medicine top 10%
- Hematology top 5%
- Health, Toxicology and Mutagenesis top 5%
- Epidemiology top 10%
- Artificial Intelligence top 5%
- Co-authors
- Andrew G. SteadDouglas I. HammerDouglas C McCroryDavid M. EddyGary M. BrittenhamJohn P. CreasonJulie BarrosoMargarete Sandelowski
- Topics
- Air Quality and Health Impacts (7 papers)Bayesian Methods and Mixture Models (6 papers)Atrial Fibrillation Management and Outcomes (5 papers)
- Journals
- Journal of the American Statistical AssociationBloodJournal of the American College of Cardiology
- Partner nations
- United StatesCanadaIreland
In The Last Decade
Victor Hasselblad
56 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 195
- Pulmonary and Respiratory Medicine 348
- Hematology 300
- Health, Toxicology and Mutagenesis 283
- Epidemiology 270
- Artificial Intelligence 244
Countries citing papers authored by Victor Hasselblad
This map shows the geographic impact of Victor Hasselblad'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 Victor Hasselblad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor Hasselblad more than expected).
Fields of papers citing papers by Victor Hasselblad
This network shows the impact of papers produced by Victor Hasselblad. 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 Victor Hasselblad. The network helps show where Victor Hasselblad may publish in the future.
Co-authorship network of co-authors of Victor Hasselblad
This figure shows the co-authorship network connecting the top 25 collaborators of Victor Hasselblad. A scholar is included among the top collaborators of Victor Hasselblad 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 Victor Hasselblad. Victor Hasselblad 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 | 14 | |
| 3 | 0 | |
| 4 | 31 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 24 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 50 | |
| 11 | 61 | |
| 12 | 0 | |
| 13 | 122 | |
| 14 | 169 | |
| 15 | 74 | |
| 16 | FAST PRO : software for meta-analysis by the confidence profile method | 62 |
| 17 | 48 | |
| 18 | 93 | |
| 19 | Finite mixtures of distributions from the exponential family | 7 |
| 20 | 390 |
About Victor Hasselblad
Victor Hasselblad is a scholar working on Speech and Hearing, Internal Medicine and Statistics and Probability, having authored 60 papers that have together received 2.6k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (7 papers), Bayesian Methods and Mixture Models (6 papers) and Atrial Fibrillation Management and Outcomes (5 papers). The work is most often cited by research in Statistics and Probability (237 citations), Hematology (300 citations) and Health, Toxicology and Mutagenesis (283 citations). Victor Hasselblad has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Andrew G. Stead, Douglas I. Hammer, Douglas C McCrory, David M. Eddy, Gary M. Brittenham, John P. Creason, Julie Barroso, Margarete Sandelowski, Corrine I. Voils and Larry D. Claxton. Their work appears in journals such as Journal of the American Statistical Association, Blood and Journal of the American College of Cardiology.
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.