Jim Q. Smith

2.9k total citations · 1 hit paper
62 papers, 1.7k citations indexed

About

Jim Q. Smith is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Jim Q. Smith has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 14 papers in Statistics and Probability and 11 papers in Management Science and Operations Research. Recurrent topics in Jim Q. Smith's work include Bayesian Modeling and Causal Inference (29 papers), Statistical Methods and Bayesian Inference (6 papers) and Statistical Methods and Inference (6 papers). Jim Q. Smith is often cited by papers focused on Bayesian Modeling and Causal Inference (29 papers), Statistical Methods and Bayesian Inference (6 papers) and Statistical Methods and Inference (6 papers). Jim Q. Smith collaborates with scholars based in United Kingdom, United States and Italy. Jim Q. Smith's 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 and has published in prestigious journals such as Journal of the American Statistical Association, NeuroImage and Management Science.

In The Last Decade

Jim Q. Smith

56 papers receiving 1.6k citations

Hit Papers

Bayesian Statistics 4. 1993 2026 2004 2015 1993 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bayesian Statistics 4.
    1993 866 citations Jim Q. Smith et al. Journal of the Royal Statistical Society Series A (Statistics in Society) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jim Q. Smith United Kingdom 17 570 485 202 202 188 62 1.7k
Merlise A. Clyde United States 23 657 1.2× 992 2.0× 202 1.0× 258 1.3× 202 1.1× 53 2.7k
Dirk Eddelbuettel United States 13 496 0.9× 422 0.9× 305 1.5× 150 0.7× 201 1.1× 33 1.9k
Sadanori Konishi Japan 20 469 0.8× 898 1.9× 139 0.7× 167 0.8× 60 0.3× 88 1.9k
Yogendra P. Chaubey Canada 17 288 0.5× 719 1.5× 228 1.1× 215 1.1× 135 0.7× 101 1.9k
D. J. Best Australia 21 460 0.8× 1.1k 2.2× 201 1.0× 207 1.0× 85 0.5× 120 2.9k
Kathleen Kocherlakota Canada 9 278 0.5× 398 0.8× 112 0.6× 124 0.6× 119 0.6× 23 1.5k
James G. Scott United States 23 955 1.7× 1.3k 2.7× 353 1.7× 199 1.0× 202 1.1× 65 3.2k
Yanan Fan Australia 17 527 0.9× 612 1.3× 147 0.7× 107 0.5× 81 0.4× 62 1.9k
Joe Whittaker United Kingdom 18 708 1.2× 509 1.0× 227 1.1× 156 0.8× 62 0.3× 57 2.1k
George T. Duncan United States 27 747 1.3× 474 1.0× 529 2.6× 400 2.0× 395 2.1× 120 2.7k

Countries citing papers authored by Jim Q. Smith

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Smith, Jim Q., et al.. (2024). Dynamic Bayesian Networks, Elicitation, and Data Embedding for Secure Environments. Entropy. 26(11). 985–985.
2.
Smith, Jim Q., et al.. (2024). Causal chain event graphs for remedial maintenance. Risk Analysis. 45(4). 896–909. 1 indexed citations
3.
Smith, Jim Q., et al.. (2023). A Bayesian decision support system for counteracting activities of terrorist groups. Journal of the Royal Statistical Society Series A (Statistics in Society). 186(3). 294–312. 3 indexed citations
4.
Fonseca, Thaís C. O., et al.. (2021). A Decision Support System for Addressing Food Security in the United Kingdom. Journal of the Royal Statistical Society Series A (Statistics in Society). 185(2). 447–470. 6 indexed citations
5.
Edwards, Elizabeth A., Hope Caton, Jim Lumsden, et al.. (2018). Creating a Theoretically Grounded, Gamified Health App: Lessons From Developing the Cigbreak Smoking Cessation Mobile Phone Game. JMIR Serious Games. 6(4). e10252–e10252. 25 indexed citations
6.
Bigatti, Anna Maria, et al.. (2018). Discovery of statistical equivalence classes using computer algebra. International Journal of Approximate Reasoning. 95. 167–184. 11 indexed citations
7.
Schwab, Simon, Valerio Zerbi, Lloyd T. Elliott, et al.. (2018). Directed functional connectivity using dynamic graphical models. NeuroImage. 175. 340–353. 18 indexed citations
8.
French, Simon, et al.. (2017). Uncertainty handling during nuclear accidents.. Loughborough University Institutional Repository (Loughborough University). 2 indexed citations
9.
Smith, Jim Q., et al.. (2017). A new method for tackling asymmetric decision problems. International Journal of Approximate Reasoning. 88. 624–639. 4 indexed citations
10.
Smith, Jim Q., et al.. (2016). A Differential Approach to Causality in Staged Trees. 207–215. 1 indexed citations
11.
Smith, Jim Q., et al.. (2012). Regulating Autonomous Agents Facing Conflicting Objectives: A Command and Control Example. Decision Analysis. 9(2). 165–171. 2 indexed citations
12.
Smith, Jim Q. & Alireza Daneshkhah. (2010). On the robustness of Bayesian networks to learning from non-conjugate sampling. International Journal of Approximate Reasoning. 51(5). 558–572. 13 indexed citations
13.
Smith, Jim Q., et al.. (2010). Causal analysis with Chain Event Graphs. Artificial Intelligence. 174(12-13). 889–909. 34 indexed citations
14.
Monnier, Annabelle, Silvia Liverani, Régis Bouvet, et al.. (2010). Orchestrated transcription of biological processes in the marine picoeukaryote Ostreococcus exposed to light/dark cycles. BMC Genomics. 11(1). 192–192. 97 indexed citations
15.
Smith, Jim Q. & Paul E. Anderson. (2007). Conditional independence and chain event graphs. Artificial Intelligence. 172(1). 42–68. 58 indexed citations
16.
Smith, Jim Q.. (2007). Local robustness of Bayesian parametric inference and observed likelihoods. Warwick Research Archive Portal (University of Warwick). 3 indexed citations
17.
Smith, Jim Q., et al.. (2003). Bayesian networks for discrete multivariate data: an algebraic approach to inference. Journal of Multivariate Analysis. 84(2). 387–402. 6 indexed citations
18.
Settimi, Raffaella & Jim Q. Smith. (1998). On the geometry of Bayesian graphical models with hidden variables. arXiv (Cornell University). 472–479. 20 indexed citations
19.
Smith, Jim Q., et al.. (1997). Probabilistic Data Assimilation within RODOS. Radiation Protection Dosimetry. 73(1). 57–59. 1 indexed citations
20.
Smith, Jim Q. & D. J. White. (1994). Markov Decision Processes.. Journal of the Royal Statistical Society Series A (Statistics in Society). 157(1). 164–164. 3 indexed citations

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.

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