Bo Thiesson
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 10%
Papers in
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- Bayesian Modeling and Causal Inference 7
- Bayesian Methods and Mixture Models 5
- Algorithms and Data Compression 5
- Machine Learning and Algorithms 4
- Advanced Clustering Algorithms Research 3
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- Data Management and Algorithms 5
- Time Series Analysis and Forecasting 3
- Co-authors
- Simon Meyer Lauritsen (4 shared papers)Marianne Johansson Jørgensen (4 shared papers)Jeppe Lange (3 shared papers)Katrine Meyer Lauritsen (2 shared papers)David Heckerman (7 shared papers)Christopher Meek (6 shared papers)Mathias Vassard Olsen (1 shared paper)Mads Ruben Burgdorff Kristensen (1 shared paper)
- Journals
- Acta Ophthalmologica (2 papers)Artificial Intelligence in Medicine (1 paper)BMC Pregnancy and Childbirth (1 paper)Nature Communications (1 paper)Computational Statistics & Data Analysis (1 paper)
- Partner nations
- DenmarkUnited StatesUnited Kingdom
In The Last Decade
Bo Thiesson
36 papers receiving 696 citations
Bo Thiesson's Hit Papers
Peers
Comparison fields: 5 of 133
- Health Informatics 81
- Family Practice 32
- Artificial Intelligence 458
- Health Information Management 64
- Signal Processing 68
Countries citing papers authored by Bo Thiesson
This map shows the geographic impact of Bo Thiesson'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 Bo Thiesson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Thiesson more than expected).
Fields of papers citing papers by Bo Thiesson
This network shows the impact of papers produced by Bo Thiesson. 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 Bo Thiesson. The network helps show where Bo Thiesson may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Thiesson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Explainable artificial intelligence model to predict acute critical illness from electronic health records Hit paper breakdown → | 2020 | 257 |
| 2 | 2020 | 106 | |
| 3 | 2001 | 73 | |
| 4 | Accelerated quantification of Bayesian networks with incomplete data | 1995 | 39 |
| 5 | 2021 | 36 | |
| 6 | 1995 | 27 | |
| 7 | Markov Topic Models | 2009 | 26 |
| 8 | Learning Mixtures of Bayesian Networks | 1997 | 18 |
| 9 | 2008 | 16 | |
| 10 | Asymmetric gradient boosting with application to spam filtering | 2007 | 15 |
| 11 | 2015 | 11 | |
| 12 | 2021 | 9 | |
| 13 | 2005 | 9 | |
| 14 | 2013 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2004 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2007 | 6 | |
| 19 | 2014 | 5 | |
| 20 | Fast Variational Mode-Seeking | 2012 | 4 |
About Bo Thiesson
Bo Thiesson is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Epidemiology, having authored 38 papers that have together received 726 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (7 papers), Data Management and Algorithms (5 papers), Bayesian Methods and Mixture Models (5 papers), Algorithms and Data Compression (5 papers), Machine Learning and Algorithms (4 papers), Web Data Mining and Analysis (4 papers), Time Series Analysis and Forecasting (3 papers) and Advanced Clustering Algorithms Research (3 papers). The work is most often cited by research in Health Informatics (81 citations), Family Practice (32 citations), Artificial Intelligence (458 citations), Health Information Management (64 citations) and Signal Processing (68 citations). Bo Thiesson has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Simon Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Katrine Meyer Lauritsen, David Heckerman, Christopher Meek, Mathias Vassard Olsen, Mads Ruben Burgdorff Kristensen, Søren Højsgaard and Kenneth Church. Their work appears in journals such as Acta Ophthalmologica, Artificial Intelligence in Medicine, BMC Pregnancy and Childbirth, Nature Communications and Computational Statistics & Data Analysis.
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.