Miloš Hauskrecht
- Artificial Intelligence top 0.5%
- Signal Processing top 1%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Iyad BatalMahdi Pakdaman NaeiniGregory F. CooperHamed ValizadeganHamish FraserMichal VaľkoZitao LiuRichard Pelikan
- Topics
- Time Series Analysis and Forecasting (30 papers)Machine Learning in Healthcare (21 papers)Reinforcement Learning in Robotics (16 papers)
- Partner nations
- United StatesItalyDenmark
In The Last Decade
Miloš Hauskrecht
125 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Artificial Intelligence 1.7k
- Signal Processing 460
- Computer Vision and Pattern Recognition 305
- Information Systems 246
- Computer Networks and Communications 243
Countries citing papers authored by Miloš Hauskrecht
This map shows the geographic impact of Miloš Hauskrecht'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 Miloš Hauskrecht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miloš Hauskrecht more than expected).
Fields of papers citing papers by Miloš Hauskrecht
This network shows the impact of papers produced by Miloš Hauskrecht. 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 Miloš Hauskrecht. The network helps show where Miloš Hauskrecht may publish in the future.
Co-authorship network of co-authors of Miloš Hauskrecht
This figure shows the co-authorship network connecting the top 25 collaborators of Miloš Hauskrecht. A scholar is included among the top collaborators of Miloš Hauskrecht 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 Miloš Hauskrecht. Miloš Hauskrecht 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | Clinical Event Time-Series Modeling with Periodic Events. | 1 |
| 8 | Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes | 3 |
| 9 | Online Conditional Outlier Detection in Nonstationary Time Series. | 6 |
| 10 | Conditional outlier approach for detection of unusual patient care actions | 3 |
| 11 | Data-driven identification of unusual clinical actions in the ICU. | 3 |
| 12 | Improving Biomedical Document Retrieval by Mining Domain Knowledge | 1 |
| 13 | Approximation Strategies for Routing in Stochastic Dynamic Networks. | 2 |
| 14 | Noisy-OR Component Analysis and its Application to Link Analysis | 26 |
| 15 | Learning basis functions in hybrid domains | 5 |
| 16 | Heuristic refinements of approximate linear programming for factored continuous-state Markov decision processes | 8 |
| 17 | Linear Program Approximations for Factored Continuous-State Markov Decision Processes | 27 |
| 18 | Computing Near Optimal Strategies for Stochastic Investment Planning Problems | 1 |
| 19 | Solving very large weakly coupled Markov decision processes | 126 |
| 20 | Incremental methods for computing bounds in partially observable Markov decision processes | 40 |
About Miloš Hauskrecht
Miloš Hauskrecht is a scholar working on Health Information Management, Signal Processing and Artificial Intelligence, having authored 135 papers that have together received 2.8k indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (30 papers), Machine Learning in Healthcare (21 papers) and Reinforcement Learning in Robotics (16 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Signal Processing (460 citations) and Health Information Management (196 citations). Miloš Hauskrecht has collaborated with scholars based in United States, Italy and Denmark. Frequent co-authors include Iyad Batal, Mahdi Pakdaman Naeini, Gregory F. Cooper, Hamed Valizadegan, Hamish Fraser, Michal Vaľko, Zitao Liu, Richard Pelikan, Branislav Kveton and James Lyons‐Weiler. Their work appears in journals such as Bioinformatics, Scientific Reports and Journal of the American Society of Nephrology.
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.