William Wasserman
- Nature and Landscape Conservation top 0.5%
- Strategy and Management top 0.5%
- Management and Optimization Techniques 1
- Accounting top 0.5%
- Statistics and Probability top 0.5%
- Statistics Education and Methodologies 2
- Ecology top 0.5%
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- Economics of Agriculture and Food Markets 4
- Economic theories and models 1
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- Gender, Labor, and Family Dynamics 1
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- Optimization and Mathematical Programming 1
- Co-authors
- John NeterMichael KutnerEric R. ZiegelFrederick O. LorenzChristopher J. NachtsheimJames LambrinosF. H. C. MarriottPaul D. Sampson
- Journals
- Journal of the American Statistical Association (9 papers)The American Statistician (4 papers)Technometrics (3 papers)
- Partner nations
- United StatesTürkiye
In The Last Decade
William Wasserman
23 papers receiving 18.4k citations
Hit Papers
Peers
Comparison fields: 5 of 242
- Nature and Landscape Conservation 2.0k
- Strategy and Management 1.7k
- Accounting 1.3k
- Statistics and Probability 858
- Ecology 2.4k
Countries citing papers authored by William Wasserman
This map shows the geographic impact of William Wasserman'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 Wasserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Wasserman more than expected).
Fields of papers citing papers by William Wasserman
This network shows the impact of papers produced by William Wasserman. 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 Wasserman. The network helps show where William Wasserman may publish in the future.
Co-authorship network
The 12 scholars most cited alongside William Wasserman, 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 | Applied Linear Statistical Modelsbreakdown → | 1997 | 1048 |
| 2 | 1992 | 414 | |
| 3 | 1989 | 2 | |
| 4 | 1987 | 237 | |
| 5 | Applied Linear Statistical Models.breakdown → | 1986 | 4180 |
| 6 | 1985 | 45 | |
| 7 | Applied Linear Regression Modelsbreakdown → | 1984 | 721 |
| 8 | Applied Linear Statistical Models.breakdown → | 1975 | 2073 |
| 9 | Applied linear statistical models : regression, analysis of variance, and experimental designsbreakdown → | 1974 | 2464 |
| 10 | 1973 | 1 | |
| 11 | 1970 | 12 | |
| 12 | 1970 | 2 | |
| 13 | 1970 | 2 | |
| 14 | 1966 | 0 | |
| 15 | 1966 | 3 | |
| 16 | 1965 | 3 | |
| 17 | Education price and quantity indexes | 1963 | 6 |
| 18 | 1963 | 2 | |
| 19 | 1958 | 0 | |
| 20 | 1957 | 3 |
About William Wasserman
William Wasserman is a scholar working on Statistics and Probability, Economics and Econometrics, Gender Studies, Strategy and Management and Control and Systems Engineering, having authored 26 papers that have together received 20.0k indexed citations. Recurring topics across this work include Economics of Agriculture and Food Markets (4 papers), Statistics Education and Methodologies (2 papers), Management and Optimization Techniques (1 paper), Gender, Labor, and Family Dynamics (1 paper), Economic theories and models (1 paper) and Optimization and Mathematical Programming (1 paper). The work is most often cited by research in Nature and Landscape Conservation (2.0k citations), Strategy and Management (1.7k citations), Accounting (1.3k citations), Statistics and Probability (858 citations) and Ecology (2.4k citations). William Wasserman has collaborated with scholars based in United States and Türkiye. Frequent co-authors include John Neter, Michael Kutner, Eric R. Ziegel, Frederick O. Lorenz, Christopher J. Nachtsheim, James Lambrinos, F. H. C. Marriott, Paul D. Sampson, Douglas C. Montgomery and Elizabeth A. Peck. Their work appears in journals such as Journal of the American Statistical Association, The American Statistician, Technometrics, Biometrics and The Review of Economics and Statistics.
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.