Marek J. Drużdżel
- Artificial Intelligence top 1%
- Management Science and Operations Research top 2%
- Epidemiology
- Statistics, Probability and Uncertainty top 1%
- Information Systems top 5%
- Co-authors
- Agnieszka OniśkoLinda C. van der GaagHanna WasylukMax HenrionDenver DashR. Marshall AustinAdam ZagoreckiChanghe Yuan
- Topics
- Bayesian Modeling and Causal Inference (76 papers)AI-based Problem Solving and Planning (23 papers)Data Quality and Management (17 papers)
- Cited by
- Artificial IntelligenceStatistics, Probability and UncertaintyHealth Information Management
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
Marek J. Drużdżel
96 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 160
- Artificial Intelligence 1.0k
- Management Science and Operations Research 298
- Epidemiology 213
- Statistics, Probability and Uncertainty 213
- Information Systems 175
Countries citing papers authored by Marek J. Drużdżel
This map shows the geographic impact of Marek J. Drużdżel'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 Marek J. Drużdżel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek J. Drużdżel more than expected).
Fields of papers citing papers by Marek J. Drużdżel
This network shows the impact of papers produced by Marek J. Drużdżel. 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 Marek J. Drużdżel. The network helps show where Marek J. Drużdżel may publish in the future.
Co-authorship network of co-authors of Marek J. Drużdżel
This figure shows the co-authorship network connecting the top 25 collaborators of Marek J. Drużdżel. A scholar is included among the top collaborators of Marek J. Drużdżel 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 Marek J. Drużdżel. Marek J. Drużdżel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Making Large Cox’s Proportional Hazard Models Tractable in Bayesian Networks | 5 |
| 3 | An approximation of surprise index as a measure of confidence | 3 |
| 4 | An empirical evaluation of costs and benefits of simplifying Bayesian networks by removing weak arcs | 2 |
| 5 | Learning Causal Models That Make Correct Manipulation Predictions. | 0 |
| 6 | Insensitivity of Constraint-Based Causal Discovery Algorithms to Violations of the Assumption of Multivariate Normality. | 4 |
| 7 | Generalized evidence pre-propagated importance sampling for hybrid Bayesian networks | 3 |
| 8 | Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning | 9 |
| 9 | Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks. | 11 |
| 10 | Probabilistic Independence of Causal Influences. | 1 |
| 11 | How Heavy Should the Tails Be | 5 |
| 12 | An Empirical Study of Probability Elicitation Under Noisy-OR Assumption. | 37 |
| 13 | 26 | |
| 14 | 24 | |
| 15 | Latin Hypercube Sampling in Bayesian Networks | 26 |
| 16 | Causal Mechanism-based Model Constructions | 7 |
| 17 | SMILE: Structural Modeling, Inference, and Learning Engine and GeNIe: a development environment for graphical decision-theoretic models | 145 |
| 18 | Relevance-Based Sequential Evidence Processing in Bayesian Networks | 4 |
| 19 | Application of the TETRAD II program to the study of student retention in U.S. colleges | 17 |
| 20 | Qualtitative propagation and scenario-based scheme for exploiting probabilistic reasoning | 28 |
About Marek J. Drużdżel
Marek J. Drużdżel is a scholar working on Artificial Intelligence, Health Information Management and Management Science and Operations Research, having authored 101 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (76 papers), AI-based Problem Solving and Planning (23 papers) and Data Quality and Management (17 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Statistics, Probability and Uncertainty (213 citations) and Health Information Management (119 citations). Marek J. Drużdżel has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Agnieszka Oniśko, Linda C. van der Gaag, Hanna Wasyluk, Max Henrion, Denver Dash, R. Marshall Austin, Adam Zagorecki, Changhe Yuan, Darren R. Brenner and Alind Gupta. Their work appears in journals such as PLoS ONE, European Journal of Operational Research and European Respiratory Journal.
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.