Lionel Weiss
- Geophysics top 2%
- Statistics and Probability top 0.5%
- Artificial Intelligence top 5%
- Mechanics of Materials top 5%
- Statistics, Probability and Uncertainty top 1%
- Co-authors
- Hugh D. YoungM. S. PatersonMike PatersonFrancis J. TurnerJ. WolfowitzJ. KieferN.C. GayDonald B. McIntyre
- Topics
- Bayesian Methods and Mixture Models (28 papers)Statistical Distribution Estimation and Applications (25 papers)Advanced Statistical Methods and Models (19 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Statistical Association
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Lionel Weiss
106 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 162
- Geophysics 706
- Statistics and Probability 573
- Artificial Intelligence 349
- Mechanics of Materials 309
- Statistics, Probability and Uncertainty 250
Countries citing papers authored by Lionel Weiss
This map shows the geographic impact of Lionel Weiss'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 Lionel Weiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lionel Weiss more than expected).
Fields of papers citing papers by Lionel Weiss
This network shows the impact of papers produced by Lionel Weiss. 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 Lionel Weiss. The network helps show where Lionel Weiss may publish in the future.
Co-authorship network of co-authors of Lionel Weiss
This figure shows the co-authorship network connecting the top 25 collaborators of Lionel Weiss. A scholar is included among the top collaborators of Lionel Weiss 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 Lionel Weiss. Lionel Weiss 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 | 1 | |
| 3 | 2 | |
| 4 | 28 | |
| 5 | 80 | |
| 6 | 21 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 220 | |
| 11 | Studies of heterogeneous strain in experimentally deformed calcite, marble, and phyllite | 12 |
| 12 | Mineralogical relations in some pelitic hornfelses from the southern sierra nevada, California | 19 |
| 13 | 11 | |
| 14 | 20 | |
| 15 | 12 | |
| 16 | 14 | |
| 17 | 69 | |
| 18 | 55 | |
| 19 | 12 | |
| 20 | 16 |
About Lionel Weiss
Lionel Weiss is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 116 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (28 papers), Statistical Distribution Estimation and Applications (25 papers) and Advanced Statistical Methods and Models (19 papers). The work is most often cited by research in Statistics and Probability (573 citations), Geophysics (706 citations) and Statistics, Probability and Uncertainty (250 citations). Lionel Weiss has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Hugh D. Young, M. S. Paterson, Mike Paterson, Francis J. Turner, J. Wolfowitz, J. Kiefer, N.C. Gay, Donald B. McIntyre, Hans‐Rudolf Wenk and Sebastián B. Littauer. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Statistical Association.
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.