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 10
- Bayesian Methods and Mixture Models 6
- Algorithms and Data Compression 5
- Machine Learning and Algorithms 4
- AI-based Problem Solving and Planning 3
- Neural Networks and Applications 3
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- Data Management and Algorithms 6
- 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 (8 shared papers)Christopher Meek (8 shared papers)Yingqing Xu (1 shared paper)Michael Cohen (1 shared paper)
- Journals
- Acta Ophthalmologica (2 papers)BMC Pregnancy and Childbirth (1 paper)Artificial Intelligence in Medicine (1 paper)Machine Learning (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Bo Thiesson
42 papers receiving 965 citations
Bo Thiesson's Hit Papers
Peers
Comparison fields: 5 of 142
- Health Informatics 78
- Family Practice 24
- Artificial Intelligence 503
- Health Information Management 57
- Computer Vision and Pattern Recognition 177
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 45 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 | 287 |
| 2 | 2004 | 150 | |
| 3 | 2020 | 121 | |
| 4 | 2001 | 82 | |
| 5 | Accelerated quantification of Bayesian networks with incomplete data | 1995 | 49 |
| 6 | 2021 | 43 | |
| 7 | 1995 | 31 | |
| 8 | Markov Topic Models | 2009 | 30 |
| 9 | 2014 | 21 | |
| 10 | Learning Mixtures of Bayesian Networks | 1997 | 19 |
| 11 | Asymmetric gradient boosting with application to spam filtering | 2007 | 16 |
| 12 | 2008 | 16 | |
| 13 | 2015 | 12 | |
| 14 | 2005 | 12 | |
| 15 | 1994 | 12 | |
| 16 | 2013 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2004 | 9 |
About Bo Thiesson
Bo Thiesson is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (10 papers), Data Management and Algorithms (6 papers), Bayesian Methods and Mixture Models (6 papers), Algorithms and Data Compression (5 papers), Web Data Mining and Analysis (4 papers), Machine Learning and Algorithms (4 papers), AI-based Problem Solving and Planning (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Health Informatics (78 citations), Family Practice (24 citations), Artificial Intelligence (503 citations), Health Information Management (57 citations) and Computer Vision and Pattern Recognition (177 citations). Bo Thiesson has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Simon Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Katrine Meyer Lauritsen, David Heckerman, Christopher Meek, Yingqing Xu, Michael Cohen, Jue Wang and Mads Ruben Burgdorff Kristensen. Their work appears in journals such as Acta Ophthalmologica, BMC Pregnancy and Childbirth, Artificial Intelligence in Medicine, Machine Learning and npj Digital Medicine.
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.