Dan Geiger
Impact in
- Artificial Intelligence top 0.1%
- Bayesian Modeling and Causal Inference
- Text and Document Classification Technologies
- Metaheuristic Optimization Algorithms Research
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
Papers in
-
- Bayesian Modeling and Causal Inference 37
- Genetics 36
- Genetic Associations and Epidemiology 21
- Forensic and Genetic Research 6
- Genetic Mapping and Diversity in Plants and Animals 5
- Genetic and rare skin diseases. 4
- Co-authors
- David E. Heckerman (19 shared papers)David M. Chickering (4 shared papers)Nir Friedman (2 shared papers)Moisés Goldszmidt (1 shared paper)Judea Pearl (7 shared papers)Thomas S. Verma (1 shared paper)Christopher Meek (7 shared papers)Max Chickering (1 shared paper)
- Journals
- Bioinformatics (9 papers)Journal of Computational Biology (6 papers)The American Journal of Human Genetics (6 papers)The Annals of Statistics (5 papers)Machine Learning (3 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Dan Geiger
103 papers receiving 12.3k citations
Dan Geiger's Hit Papers
Peers
Comparison fields: 5 of 205
- Artificial Intelligence 5.8k
- Health Information Management 424
- Information Systems 1.1k
- Computational Theory and Mathematics 649
- Genetics 975
Countries citing papers authored by Dan Geiger
This map shows the geographic impact of Dan Geiger'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 Dan Geiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Geiger more than expected).
Fields of papers citing papers by Dan Geiger
This network shows the impact of papers produced by Dan Geiger. 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 Dan Geiger. The network helps show where Dan Geiger may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Geiger, 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bayesian Network Classifiers Hit paper breakdown → | 1997 | 3905 |
| 2 | Learning Bayesian Networks: The Combination of Knowledge and Statistical Data Hit paper breakdown → | 1995 | 2344 |
| 3 | Learning Bayesian networks: The combination of knowledge and statistical data Hit paper breakdown → | 1995 | 1691 |
| 4 | 1990 | 331 | |
| 5 | 1994 | 293 | |
| 6 | 2002 | 211 | |
| 7 | 1994 | 207 | |
| 8 | 2018 | 163 | |
| 9 | 1996 | 160 | |
| 10 | 2005 | 153 | |
| 11 | Learning Bayesian Networks: Search Methods and Experimental Results | 1995 | 150 |
| 12 | 2005 | 147 | |
| 13 | 2009 | 146 | |
| 14 | 2010 | 119 | |
| 15 | 2006 | 118 | |
| 16 | 1998 | 116 | |
| 17 | 2006 | 99 | |
| 18 | 2006 | 98 | |
| 19 | 1993 | 96 | |
| 20 | 2002 | 91 |
About Dan Geiger
Dan Geiger is a scholar working on Artificial Intelligence, Genetics, Computational Theory and Mathematics, Statistics and Probability and Molecular Biology, having authored 103 papers that have together received 13.1k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (37 papers), Genetic Associations and Epidemiology (21 papers), Genomics and Phylogenetic Studies (7 papers), Forensic and Genetic Research (6 papers), Advanced Graph Theory Research (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Complexity and Algorithms in Graphs (4 papers) and Genetic and rare skin diseases. (4 papers). The work is most often cited by research in Artificial Intelligence (5.8k citations), Health Information Management (424 citations), Information Systems (1.1k citations), Computational Theory and Mathematics (649 citations) and Genetics (975 citations). Dan Geiger has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include David E. Heckerman, David M. Chickering, Nir Friedman, Moisés Goldszmidt, Judea Pearl, Thomas S. Verma, Christopher Meek, Max Chickering, Mark Silberstein and Assaf Schuster. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, The American Journal of Human Genetics, The Annals of Statistics and Machine Learning.
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.