Heike Hofmann
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Outbreaks Research
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies
Papers in
-
- Advanced Statistical Methods and Models 9
-
- Data Visualization and Analytics 34
- Co-authors
- Stefan PöhlmannMartina GeierHadley WickhamDianne CookThomas GrambergThomas StammingerAndrea MarziBen Berkhout
- Journals
- Journal of Computational and Graphical Statistics (16 papers)Journal of Virology (13 papers)The R Journal (8 papers)Virology (7 papers)IEEE Transactions on Visualization and Computer Graphics (5 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Heike Hofmann
135 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Infectious Diseases 2.4k
- Animal Science and Zoology 525
- Statistics and Probability 289
- Computer Vision and Pattern Recognition 652
- Immunology 582
Countries citing papers authored by Heike Hofmann
This map shows the geographic impact of Heike Hofmann'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 Heike Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heike Hofmann more than expected).
Fields of papers citing papers by Heike Hofmann
This network shows the impact of papers produced by Heike Hofmann. 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 Heike Hofmann. The network helps show where Heike Hofmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Heike Hofmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 0 | |
| 2 | 2015 | 6 | |
| 3 | 2014 | 5 | |
| 4 | 2013 | 3 | |
| 5 | 2013 | 15 | |
| 6 | 2012 | 0 | |
| 7 | 2012 | 77 | |
| 8 | tourr: An R Package for Exploring Multivariate Data with Projections | 2011 | 9 |
| 9 | Using concurrent Hidden Markov Models to analyse human behaviours in a smart home environment | 2011 | 1 |
| 10 | 2011 | 91 | |
| 11 | 2011 | 41 | |
| 12 | 2010 | 1 | |
| 13 | 2010 | 82 | |
| 14 | Correspondence between gibberellin-sensitivity and pollen tube abundance in different seeded vine varieties. | 2009 | 5 |
| 15 | 2008 | 61 | |
| 16 | 2006 | 3 | |
| 17 | 2006 | 23 | |
| 18 | Graphics of Large Datasets: Visualizing a Million (Statistics and Computing) | 2006 | 13 |
| 19 | 2005 | 17 | |
| 20 | 2003 | 25 |
About Heike Hofmann
Heike Hofmann is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition, Artificial Intelligence, Infectious Diseases and Archeology, having authored 157 papers that have together received 5.5k indexed citations. Recurring topics across this work include Data Visualization and Analytics (34 papers), Data Analysis with R (26 papers), Botany and Plant Ecology Studies (13 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Sensory Analysis and Statistical Methods (10 papers), Advanced Statistical Methods and Models (9 papers), Animal Virus Infections Studies (8 papers) and Viral Infections and Outbreaks Research (8 papers). The work is most often cited by research in Infectious Diseases (2.4k citations), Animal Science and Zoology (525 citations), Statistics and Probability (289 citations), Computer Vision and Pattern Recognition (652 citations) and Immunology (582 citations). Heike Hofmann has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Stefan Pöhlmann, Martina Geier, Hadley Wickham, Dianne Cook, Thomas Gramberg, Thomas Stamminger, Andrea Marzi, Ben Berkhout, Krzysztof Pyrć and Lia van der Hoek. Their work appears in journals such as Journal of Computational and Graphical Statistics, Journal of Virology, The R Journal, Virology and IEEE Transactions on Visualization and Computer Graphics.
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.