Ross D. Shachter

5.0k total citations · 1 hit paper
56 papers, 2.4k citations indexed

About

Ross D. Shachter is a scholar working on Artificial Intelligence, Management Science and Operations Research and Surgery. According to data from OpenAlex, Ross D. Shachter has authored 56 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 8 papers in Surgery. Recurrent topics in Ross D. Shachter's work include Bayesian Modeling and Causal Inference (19 papers), AI in cancer detection (6 papers) and Machine Learning and Algorithms (5 papers). Ross D. Shachter is often cited by papers focused on Bayesian Modeling and Causal Inference (19 papers), AI in cancer detection (6 papers) and Machine Learning and Algorithms (5 papers). Ross D. Shachter collaborates with scholars based in United States, South Korea and Austria. Ross D. Shachter's co-authors include C. Robert Kenley, Vic Hasselblad, David M. Eddy, David Heckerman, Douglas K Owens, Mark A. Peot, Daniel L. Rubin, Elizabeth S. Burnside, Marcia F.T. Rupnow and Julie Parsonnet and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Ross D. Shachter

54 papers receiving 2.1k citations

Hit Papers

Evaluating Influence Diagrams 1986 2026 1999 2012 1986 200 400 600
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. Evaluating Influence Diagrams
    1986 744 citations Ross D. Shachter profile →

Peers

Ross D. Shachter
Marek J. Drużdżel United States
Haipeng Shen United States
A. M. Skene United Kingdom
Peter Lucas Netherlands
Peter Haddawy Thailand
C.J.H. Mann United Kingdom
Miloš Hauskrecht United States
Edward J. Sondik United States
Jinsung Yoon United States
Federico Cabitza Italy
Marek J. Drużdżel United States
Ross D. Shachter
Citations per year, relative to Ross D. Shachter Ross D. Shachter (= 1×) peers Marek J. Drużdżel

Countries citing papers authored by Ross D. Shachter

Since Specialization
Citations

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

Fields of papers citing papers by Ross D. Shachter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross D. Shachter. 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 Ross D. Shachter. The network helps show where Ross D. Shachter may publish in the future.

Co-authorship network of co-authors of Ross D. Shachter

This figure shows the co-authorship network connecting the top 25 collaborators of Ross D. Shachter. A scholar is included among the top collaborators of Ross D. Shachter 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 Ross D. Shachter. Ross D. Shachter 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.
Borgonovo, Emanuele, et al.. (2025). Fifty years of decision analysis in operational research: A review. European Journal of Operational Research. 329(2). 355–377.
2.
Gensheimer, Michael F., et al.. (2022). Uncovering interpretable potential confounders in electronic medical records. Nature Communications. 13(1). 1014–1014. 23 indexed citations
3.
Fuentes‐Guerra, Francisco Javier Giménez, et al.. (2019). A Probabilistic Model to Support Radiologists’ Classification Decisions in Mammography Practice. Medical Decision Making. 39(3). 208–216. 4 indexed citations
4.
Perry, Jeffrey J., et al.. (2018). A Web-based Decision Tool to Estimate Subarachnoid Hemorrhage Risk in Emergency Department Patients. Cureus. 10(1). e2096–e2096. 3 indexed citations
5.
Shachter, Ross D.. (2016). Decisions and Dependence in Influence Diagrams. 462–473. 5 indexed citations
6.
Liu, Wenhao & Ross D. Shachter. (2015). Complexity of the exact solution to the test sequencing problem. Uncertainty in Artificial Intelligence. 494–503. 1 indexed citations
7.
Shachter, Ross D., et al.. (2015). Toward cost-effective staffing mixes for Veterans Affairs substance use disorder treatment programs. BMC Health Services Research. 15(1). 515–515. 2 indexed citations
8.
Shachter, Ross D., et al.. (2013). Approximate Kalman filter Q-Learning for continuous state-space MDPs. Uncertainty in Artificial Intelligence. 644–653. 1 indexed citations
9.
Shachter, Ross D. & Debarun Bhattacharjya. (2010). Dynamic programming in influence diagrams with decision circuits. arXiv (Cornell University). 509–516. 9 indexed citations
10.
Hutton, David W., Jeffrey Belkora, Ross D. Shachter, & Dan H. Moore. (2009). Are Patients Getting the “Gist” in Risk Communication? Patient Understanding of Prognosis in Breast Cancer Treatment. Journal of Cancer Education. 24(3). 194–199. 14 indexed citations
11.
Tuljapurkar, Shripad, Anant Sudarshan, Ross D. Shachter, Marcus W. Feldman, & Debarun Bhattacharjya. (2008). How can economic schemes curtail the increasing sex ratio at birth in China?. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Bhattacharjya, Debarun, Anant Sudarshan, Shripad Tuljapurkar, Ross D. Shachter, & Marcus W. Feldman. (2008). How can economic schemes curtail the increasing sex ratio at birth in China?. Demographic Research. 19(54). 1831–1850. 17 indexed citations
13.
Rupnow, Marcia F.T., Douglas K Owens, Ross D. Shachter, & Julie Parsonnet. (1999). Helicobacter pyloriVaccine Development and Use: A Cost‐Effectiveness Analysis Using the Institute of Medicine Methodology. Helicobacter. 4(4). 272–280. 20 indexed citations
14.
Shachter, Ross D., et al.. (1992). Representation of preferences in decision-support systems. Computers and Biomedical Research. 25(4). 324–335. 7 indexed citations
15.
Kent, Daniel, et al.. (1991). Eualuation of Nonlinear Optimization for Scheduling of follow-up cystoscopies to Detect Recurrent Bladder Cancer. Medical Decision Making. 11(4). 240–248. 11 indexed citations
16.
Shachter, Ross D., et al.. (1990). Symbolic probabilistic inference in belief networks. National Conference on Artificial Intelligence. 126–131. 76 indexed citations
17.
Eddy, David M., Vic Hasselblad, & Ross D. Shachter. (1990). An Introduction to a Bayesian Method for Meta-analysis. Medical Decision Making. 10(1). 15–23. 66 indexed citations
18.
Eddy, David M., Vic Hasselblad, & Ross D. Shachter. (1990). A Bayesian Method for Synthesizing Evidence: The Confidence Profile Method. International Journal of Technology Assessment in Health Care. 6(1). 31–55. 83 indexed citations
19.
Kent, Daniel, et al.. (1989). Efficient Scheduling of Cystoscopies in Monitoring for Recurrent Bladder Cancer. Medical Decision Making. 9(1). 26–37. 17 indexed citations
20.
Shachter, Ross D. & David Heckerman. (1987). Thinking Backward for Knowledge Acquisition. AI Magazine. 8(3). 55–61. 46 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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