William S. Cleveland
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.2%
- Global and Planetary Change top 0.5%
- Statistics and Probability top 0.05%
- Economics and Econometrics top 0.5%
- Co-authors
- Susan J. DevlinRobert McGillJohn M. ChambersPaul A. TukeyBrian M. KleinerRichard A. BeckerM. J. R. HealyN. I. Fisher
- Topics
- Data Visualization and Analytics (30 papers)Advanced Statistical Methods and Models (17 papers)Data Analysis with R (13 papers)
- Cited by
- Statistics and ProbabilityComputer Vision and Pattern RecognitionGlobal and Planetary Change
- Journals
- ScienceSHILAP Revista de lepidopterologíaJournal of Geophysical Research Atmospheres
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
William S. Cleveland
138 papers receiving 25.4k citations
Hit Papers
Peers
Comparison fields: 5 of 240
- Computer Vision and Pattern Recognition 4.2k
- Artificial Intelligence 3.5k
- Global and Planetary Change 3.0k
- Statistics and Probability 2.8k
- Economics and Econometrics 2.1k
Countries citing papers authored by William S. Cleveland
This map shows the geographic impact of William S. Cleveland'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 S. Cleveland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William S. Cleveland more than expected).
Fields of papers citing papers by William S. Cleveland
This network shows the impact of papers produced by William S. Cleveland. 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 S. Cleveland. The network helps show where William S. Cleveland may publish in the future.
Co-authorship network of co-authors of William S. Cleveland
This figure shows the co-authorship network connecting the top 25 collaborators of William S. Cleveland. A scholar is included among the top collaborators of William S. Cleveland 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 William S. Cleveland. William S. Cleveland 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 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | Visualization Databases for the Analysis of Large Complex Datasets | 14 |
| 7 | 46 | |
| 8 | 16 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 58 | |
| 12 | 37 | |
| 13 | 299 | |
| 14 | 112 | |
| 15 | 144 | |
| 16 | 111 | |
| 17 | 43 | |
| 18 | 38 | |
| 19 | Robust Locally Weighted Regression and Smoothing Scatterplotsbreakdown → | 8055 |
| 20 | SABL: A Resistant Seasonal Adjustment Procedure With Graphical Methods for Interpretation and Diagnosis | 30 |
About William S. Cleveland
William S. Cleveland is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition and Signal Processing, having authored 141 papers that have together received 28.0k indexed citations. Recurring topics across this work include Data Visualization and Analytics (30 papers), Advanced Statistical Methods and Models (17 papers) and Data Analysis with R (13 papers). The work is most often cited by research in Statistics and Probability (2.8k citations), Computer Vision and Pattern Recognition (4.2k citations) and Global and Planetary Change (3.0k citations). William S. Cleveland has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Susan J. Devlin, Robert McGill, John M. Chambers, Paul A. Tukey, Brian M. Kleiner, Richard A. Becker, M. J. R. Healy, N. I. Fisher, Eric H. Grosse and Beat Kleiner. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.
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.