Scott Sanner

6.6k total citations · 3 hit papers
149 papers, 3.7k citations indexed

About

Scott Sanner is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Scott Sanner has authored 149 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Artificial Intelligence, 39 papers in Information Systems and 21 papers in Computational Theory and Mathematics. Recurrent topics in Scott Sanner's work include Recommender Systems and Techniques (30 papers), Bayesian Modeling and Causal Inference (24 papers) and Machine Learning and Algorithms (20 papers). Scott Sanner is often cited by papers focused on Recommender Systems and Techniques (30 papers), Bayesian Modeling and Causal Inference (24 papers) and Machine Learning and Algorithms (20 papers). Scott Sanner collaborates with scholars based in Canada, Australia and United States. Scott Sanner's co-authors include Lexing Xie, Aditya Krishna Menon, Zheda Mai, Wray Buntine, Rishabh Mehrotra, Hyunwoo Kim, Brent Huchuk, William O’Brien, Ruiwen Li and Jihwan Jeong and has published in prestigious journals such as Expert Systems with Applications, Trends in biotechnology and Energy and Buildings.

In The Last Decade

Scott Sanner

143 papers receiving 3.6k citations

Hit Papers

align trajectories

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.

AutoRec

2015 764 citations Aditya Krishna Menon, Scott Sanner et al. ANU Open Research (Australian National University) profile →
Improving LDA topic models for microblogs via tweet pooling and automatic labeling

2013 321 citations Scott Sanner, Lexing Xie et al. ANU Open Research (Australian National University) profile →
Online continual learning in image classification: An empirical survey

2021 229 citations Zheda Mai, Ruiwen Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott Sanner Canada	28	2.2k	1.3k	856	339	315	149	3.7k
Fuzhen Zhuang China	31	2.9k 1.3×	2.1k 1.6×	843 1.0×	287 0.8×	471 1.5×	118	4.6k
Yanchi Liu United States	29	1.8k 0.8×	1.8k 1.3×	641 0.7×	348 1.0×	372 1.2×	87	4.1k
Francesco Marcelloni Italy	37	2.4k 1.1×	847 0.6×	516 0.6×	727 2.1×	299 0.9×	212	4.9k
Zhoujun Li China	40	3.5k 1.5×	1.3k 1.0×	1.1k 1.3×	644 1.9×	205 0.7×	338	5.2k
Xianzhi Wang Australia	27	1.3k 0.6×	913 0.7×	657 0.8×	615 1.8×	159 0.5×	161	3.0k
Lizhen Cui China	35	2.2k 1.0×	2.1k 1.6×	606 0.7×	1.0k 3.1×	266 0.8×	324	4.6k
Dong Wang United States	33	1.7k 0.8×	648 0.5×	622 0.7×	635 1.9×	146 0.5×	295	4.1k
Junhao Wen China	29	1.1k 0.5×	1.3k 1.0×	583 0.7×	906 2.7×	241 0.8×	184	3.4k
Ah‐Hwee Tan Singapore	30	2.3k 1.0×	548 0.4×	1.1k 1.2×	273 0.8×	177 0.6×	219	3.9k
Nicholas Jing Yuan China	34	2.1k 0.9×	1.7k 1.3×	812 0.9×	422 1.2×	413 1.3×	80	4.7k

Countries citing papers authored by Scott Sanner

Since Specialization

Citations

This map shows the geographic impact of Scott Sanner'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 Scott Sanner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Sanner more than expected).

Fields of papers citing papers by Scott Sanner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Sanner. 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 Scott Sanner. The network helps show where Scott Sanner may publish in the future.

Co-authorship network of co-authors of Scott Sanner

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Sanner. A scholar is included among the top collaborators of Scott Sanner 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 Scott Sanner. Scott Sanner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Deldjoo, Yashar, Zhankui He, Julian McAuley, et al.. (2025). Tutorial on Recommendation with Generative Models (Gen-RecSys). 1002–1004. 8 indexed citations

Sanner, Scott, et al.. (2024). Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering. 6601–6633.

Kemper, S., et al.. (2024). Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking. arXiv (Cornell University). 2786–2790. 3 indexed citations

Alford, Ron, Gregor Behnke, Daniel Fišer, et al.. (2024). The 2023 International Planning Competition. AI Magazine. 45(2). 280–296. 1 indexed citations

Deldjoo, Yashar, Zhankui He, Julian McAuley, et al.. (2024). A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). 6448–6458. 27 indexed citations

Li, Ruiwen, Zheda Mai, Zhibo Zhang, Jongseong Jang, & Scott Sanner. (2023). TransCAM: Transformer attention-based CAM refinement for Weakly supervised semantic segmentation. Journal of Visual Communication and Image Representation. 92. 103800–103800. 41 indexed citations

Sanner, Scott, et al.. (2023). User Experience and the Role of Personalization in Critiquing-Based Conversational Recommendation. ACM Transactions on the Web. 18(4). 1–21. 7 indexed citations

Sanner, Scott, et al.. (2023). Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences. 890–896. 59 indexed citations

Bouadjenek, Mohamed Reda, Scott Sanner, & Ga Wu. (2022). A User-Centric Analysis of Social Media for Stock Market Prediction. ACM Transactions on the Web. 17(2). 1–22. 7 indexed citations

10.

Bouadjenek, Mohamed Reda, et al.. (2022). A longitudinal study of topic classification on Twitter. PeerJ Computer Science. 8. e991–e991. 3 indexed citations

11.

Sanner, Scott, et al.. (2019). Bayesian Networks for Data Integration in the Absence of Foreign Keys. IEEE Transactions on Knowledge and Data Engineering. 32(4). 803–808. 3 indexed citations

12.

Sanner, Scott, et al.. (2018). Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach. Neural Information Processing Systems. 31. 9528–9538. 6 indexed citations

13.

Soh, Harold, et al.. (2017). Nonlinear Optimization and Symbolic Dynamic Programming for Parameterized Hybrid Markov Decision Processes.. National Conference on Artificial Intelligence. 1 indexed citations

14.

Bui, Hung, Jaya Kawale, Nikos Vlassis, et al.. (2016). Practical linear models for large-scale one-class collaborative filtering. ANU Open Research (Australian National University). 3854–3860. 10 indexed citations

15.

Sanner, Scott, et al.. (2012). Symbolic Dynamic Programming for Continuous State and Observation POMDPs. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 25. 1394–1402. 6 indexed citations

16.

Guo, Shengbo & Scott Sanner. (2010). Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries. ANU Open Research (Australian National University). 289–296. 25 indexed citations

17.

Downey, Carlton & Scott Sanner. (2010). Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda. ANU Open Research (Australian National University). 311–318. 12 indexed citations

18.

Sanner, Scott & Craig Boutilier. (2007). Approximate solution techniques for factored first-order MDPs. International Conference on Automated Planning and Scheduling. 288–295. 11 indexed citations

19.

Sanner, Scott & Sheila A. McIlraith. (2006). An ordered theory resolution calculus for hybrid reasoning in first-order extensions of description logic. Principles of Knowledge Representation and Reasoning. 100–110. 1 indexed citations

20.

Sanner, Scott & David McAllester. (2005). Affine algebraic decision diagrams (AADDs) and their application to structured probabilistic inference. International Joint Conference on Artificial Intelligence. 1384–1390. 35 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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