Daniel J. Lizotte
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 2%
- Statistics and Probability top 2%
- Management Science and Operations Research top 5%
- General Health Professions top 10%
- Co-authors
- Greta R. BauerMichael BowlingSusan A. MurphySiobhan ChurchillAlma Angélica Villa-RuedaEric B. LaberDale SchuurmansTao Wang
- Topics
- Health Systems, Economic Evaluations, Quality of Life (8 papers)Digital Mental Health Interventions (8 papers)Artificial Intelligence in Healthcare and Education (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Daniel J. Lizotte
73 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Artificial Intelligence 554
- Computational Theory and Mathematics 224
- Statistics and Probability 219
- Management Science and Operations Research 207
- General Health Professions 195
Countries citing papers authored by Daniel J. Lizotte
This map shows the geographic impact of Daniel J. Lizotte'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 Daniel J. Lizotte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Lizotte more than expected).
Fields of papers citing papers by Daniel J. Lizotte
This network shows the impact of papers produced by Daniel J. Lizotte. 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 Daniel J. Lizotte. The network helps show where Daniel J. Lizotte may publish in the future.
Co-authorship network of co-authors of Daniel J. Lizotte
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Lizotte. A scholar is included among the top collaborators of Daniel J. Lizotte 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 Daniel J. Lizotte. Daniel J. Lizotte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 21 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 10 | |
| 13 | 30 | |
| 14 | 38 | |
| 15 | 3 | |
| 16 | Convergent Fitted Value Iteration with Linear Function Approximation | 4 |
| 17 | Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis | 37 |
| 18 | Automatic gait optimization with Gaussian process regression | 128 |
| 19 | 32 | |
| 20 | Budgeted learning of nailve-bayes classifiers | 60 |
About Daniel J. Lizotte
Daniel J. Lizotte is a scholar working on Health Informatics, Health Information Management and Applied Psychology, having authored 87 papers that have together received 2.1k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Digital Mental Health Interventions (8 papers) and Artificial Intelligence in Healthcare and Education (8 papers). The work is most often cited by research in Health Informatics (138 citations), Statistics and Probability (219 citations) and Artificial Intelligence (554 citations). Daniel J. Lizotte has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Greta R. Bauer, Michael Bowling, Susan A. Murphy, Siobhan Churchill, Alma Angélica Villa-Rueda, Eric B. Laber, Dale Schuurmans, Tao Wang, Russell Greiner and Jacqueline K. Kueper. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.
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.