James Q. Smith
- Artificial Intelligence top 5%
- Plant Science top 10%
- Molecular Biology
- Management Science and Operations Research top 5%
- Statistics and Probability top 5%
- Co-authors
- Robert M. OliverPaul GoodwinAndrew J. MillarNeeraj SalathiaPaul E. AndersonJames LockeJames R. LynnKieron D. Edwards
- Topics
- Bayesian Modeling and Causal Inference (7 papers)Bayesian Methods and Mixture Models (2 papers)Functional Brain Connectivity Studies (2 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceStatistics and Probability
- Partner nations
- United KingdomCanadaBrazil
In The Last Decade
James Q. Smith
14 papers receiving 540 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 230
- Plant Science 227
- Molecular Biology 197
- Management Science and Operations Research 93
- Statistics and Probability 52
Countries citing papers authored by James Q. Smith
This map shows the geographic impact of James 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 James 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 James Q. Smith more than expected).
Fields of papers citing papers by James Q. Smith
This network shows the impact of papers produced by James 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 James Q. Smith. The network helps show where James Q. Smith may publish in the future.
Co-authorship network of co-authors of James Q. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of James Q. Smith. A scholar is included among the top collaborators of James 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 James Q. Smith. James 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 | 6 | |
| 3 | 11 | |
| 4 | 22 | |
| 5 | 2 | |
| 6 | 22 | |
| 7 | 3 | |
| 8 | Multiagent Bayesian Forecasting of Time Series with Graphical Models | 0 |
| 9 | 255 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 44 | |
| 14 | 160 | |
| 15 | 40 | |
| 16 | 2 | |
| 17 | 1 |
About James Q. Smith
James Q. Smith is a scholar working on Management Science and Operations Research, Artificial Intelligence and Signal Processing, having authored 17 papers that have together received 582 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (7 papers), Bayesian Methods and Mixture Models (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Management Science and Operations Research (93 citations), Artificial Intelligence (230 citations) and Statistics and Probability (52 citations). James Q. Smith has collaborated with scholars based in United Kingdom, Canada and Brazil. Frequent co-authors include Robert M. Oliver, Paul Goodwin, Andrew J. Millar, Neeraj Salathia, Paul E. Anderson, James Locke, James R. Lynn, Kieron D. Edwards, Anthony Hall and Martin Straume. Their work appears in journals such as The Plant Cell, Technometrics and Pattern Recognition.
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.