William Michael Landau
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- Scientific Computing and Data Management 2
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- COVID-19 epidemiological studies 1
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- Gene expression and cancer classification 3
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- Genetic and phenotypic traits in livestock 2
- Genetic Mapping and Diversity in Plants and Animals 2
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- Data Analysis with R 2
- Explainable Artificial Intelligence (XAI) 1
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- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Peng LiuLaurie J. ButlerXuewei TangCaroline C. WomackJarad NiemiDan NettletonMargaret GamaloYanping Wang
- Journals
- Journal of the American Statistical Association (1 paper)PLoS ONE (1 paper)The Journal of Physical Chemistry A (1 paper)
- Partner nations
- United States
In The Last Decade
William Michael Landau
7 papers receiving 209 citations
Peers
Comparison fields: 5 of 100
- Information Systems and Management 22
- Ecological Modeling 10
- Modeling and Simulation 7
- Statistics and Probability 12
- Spectroscopy 21
Countries citing papers authored by William Michael Landau
This map shows the geographic impact of William Michael Landau'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 William Michael Landau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Michael Landau more than expected).
Fields of papers citing papers by William Michael Landau
This network shows the impact of papers produced by William Michael Landau. 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 William Michael Landau. The network helps show where William Michael Landau may publish in the future.
Co-authorship network
The 10 scholars most cited alongside William Michael Landau, 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 | 3 | |
| 2 | 2021 | 103 | |
| 3 | 2021 | 0 | |
| 4 | 2018 | 3 | |
| 5 | 2018 | 43 | |
| 6 | 2015 | 7 | |
| 7 | 2013 | 26 | |
| 8 | 2010 | 30 |
About William Michael Landau
William Michael Landau is a scholar working on Information Systems and Management, Modeling and Simulation and Genetics, having authored 8 papers that have together received 215 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Scientific Computing and Data Management (2 papers), Genetic and phenotypic traits in livestock (2 papers), Data Analysis with R (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Explainable Artificial Intelligence (XAI) (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Information Systems and Management (22 citations), Ecological Modeling (10 citations) and Modeling and Simulation (7 citations). William Michael Landau has collaborated with scholars based in United States. Frequent co-authors include Peng Liu, Laurie J. Butler, Xuewei Tang, Caroline C. Womack, Jarad Niemi, Dan Nettleton, Margaret Gamalo, Yanping Wang, Sujatro Chakladar and Ran Liao. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and The Journal of Physical Chemistry A.
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.