Jim Q. Smith
- Artificial Intelligence top 2%
- Statistics and Probability top 0.5%
- Molecular Biology
- Management Science and Operations Research top 5%
- Genetics top 10%
- Co-authors
- A. F. M. SmithJames O. BergerA. P. DawidChristian P. RobertPaul E. AndersonBela SharmaThomas HillSilvia Liverani
- Topics
- Bayesian Modeling and Causal Inference (29 papers)Statistical Methods and Bayesian Inference (6 papers)Statistical Methods and Inference (6 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Jim Q. Smith
56 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Artificial Intelligence 570
- Statistics and Probability 485
- Molecular Biology 202
- Management Science and Operations Research 202
- Genetics 188
Countries citing papers authored by Jim Q. Smith
This map shows the geographic impact of Jim Q. Smith'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 Jim Q. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Q. Smith more than expected).
Fields of papers citing papers by Jim Q. Smith
This network shows the impact of papers produced by Jim Q. Smith. 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 Jim Q. Smith. The network helps show where Jim Q. Smith may publish in the future.
Co-authorship network of co-authors of Jim Q. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Jim Q. Smith. A scholar is included among the top collaborators of Jim Q. Smith 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 Jim Q. Smith. Jim Q. Smith 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 | 3 | |
| 4 | 6 | |
| 5 | 25 | |
| 6 | 11 | |
| 7 | 18 | |
| 8 | Uncertainty handling during nuclear accidents. | 2 |
| 9 | 4 | |
| 10 | A Differential Approach to Causality in Staged Trees | 1 |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 34 | |
| 14 | 97 | |
| 15 | 58 | |
| 16 | Local robustness of Bayesian parametric inference and observed likelihoods | 3 |
| 17 | 6 | |
| 18 | On the geometry of Bayesian graphical models with hidden variables | 20 |
| 19 | 1 | |
| 20 | 3 |
About Jim Q. Smith
Jim Q. Smith is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (29 papers), Statistical Methods and Bayesian Inference (6 papers) and Statistical Methods and Inference (6 papers). The work is most often cited by research in Statistics and Probability (485 citations), Statistics, Probability and Uncertainty (137 citations) and Artificial Intelligence (570 citations). Jim Q. Smith has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include A. F. M. Smith, James O. Berger, A. P. Dawid, Christian P. Robert, Paul E. Anderson, Bela Sharma, Thomas Hill, Silvia Liverani, Eva Riccomagno and Raffaella Settimi. Their work appears in journals such as Journal of the American Statistical Association, NeuroImage and Management Science.
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.