National Institute of Statistical Sciences
Impact in
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- Probabilistic and Robust Engineering Design
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- Advanced Multi-Objective Optimization Algorithms
Papers in
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- Statistical Methods and Bayesian Inference 34
- Statistical Methods and Inference 27
- Advanced Causal Inference Techniques 17
- Statistical Methods in Clinical Trials 16
- Top scholars
- William J. WelchMatthias SchonlauDonald R. JonesAlan F. KarrJA StarkSurendra P. ShahTodd GravesValerie Williams
- Journals
- Journal of the American Statistical Association (18 papers)Technometrics (10 papers)Statistics in Medicine (8 papers)Atmospheric Environment (5 papers)Biometrics (5 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
National Institute of Statistical Sciences
296 papers receiving 21.0k citations
Peers
Comparison fields: 5 of 231
- Statistics, Probability and Uncertainty 2.8k
- Computational Theory and Mathematics 4.5k
- Sensory Systems 1.1k
- Management Science and Operations Research 3.0k
- Software 973
Countries citing scholars working at National Institute of Statistical Sciences
This map shows the geographic impact of research produced by authors working at National Institute of Statistical Sciences. 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 papers produced at National Institute of Statistical Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites National Institute of Statistical Sciences more than expected).
Fields of papers published by authors at National Institute of Statistical Sciences
This network shows the impact of papers affiliated with National Institute of Statistical Sciences at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with National Institute of Statistical Sciences at the time of their publication.
About National Institute of Statistical Sciences
In recent decades, authors affiliated with National Institute of Statistical Sciences have published 333 papers, which have received a total of 21.8k indexed citations . Scholars at this organization have produced 77 papers in Statistics and Probability, 19 papers in Statistics, Probability and Uncertainty, 17 papers in Transportation, 30 papers in Management Science and Operations Research and 9 papers in Software on the topics of Statistical Methods and Bayesian Inference (34 papers), Statistical Methods and Inference (27 papers), Advanced Causal Inference Techniques (17 papers), Optimal Experimental Design Methods (16 papers), Privacy-Preserving Technologies in Data (16 papers), Statistical Methods in Clinical Trials (16 papers), Transportation Planning and Optimization (15 papers) and Traffic Prediction and Management Techniques (15 papers). Their work is cited by papers focused on Statistics, Probability and Uncertainty (2.8k citations), Computational Theory and Mathematics (4.5k citations), Sensory Systems (1.1k citations), Management Science and Operations Research (3.0k citations) and Software (973 citations). Authors at National Institute of Statistical Sciences collaborate with scholars in United States, United Kingdom and Canada and have published in prestigious journals including Journal of the American Statistical Association, Technometrics, Statistics in Medicine, Atmospheric Environment and Biometrics. Some of National Institute of Statistical Sciences's most productive authors include William J. Welch, Matthias Schonlau, Donald R. Jones, Alan F. Karr, JA Stark, Surendra P. Shah, Todd Graves, Valerie Williams, Jerome Sacks and J. S. Marron.
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.