Dan Geiger
Impact in
- Artificial Intelligence top 0.1%
- Bayesian Modeling and Causal Inference
- Machine Learning and Data Classification
- AI-based Problem Solving and Planning
- Signal Processing top 0.5%
- Data Management and Algorithms
Papers in
-
- Bayesian Modeling and Causal Inference 40
- Bayesian Methods and Mixture Models 7
- Logic, Reasoning, and Knowledge 7
- Genetics 25
- Genetic Associations and Epidemiology 18
- Genetic Mapping and Diversity in Plants and Animals 11
- Genetic and phenotypic traits in livestock 6
- Co-authors
- David Heckerman (15 shared papers)David M. Chickering (3 shared papers)Nir Friedman (2 shared papers)Moisés Goldszmidt (1 shared paper)Judea Pearl (6 shared papers)Thomas Verma (1 shared paper)Christopher Meek (9 shared papers)Omer Weissbrod (9 shared papers)
- 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
97 papers receiving 9.9k citations
Dan Geiger's Hit Papers
Peers
Comparison fields: 5 of 212
- Artificial Intelligence 5.6k
- Signal Processing 936
- Management Science and Operations Research 1.0k
- Statistics and Probability 549
- Computational Theory and Mathematics 1.1k
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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bayesian Network Classifiers Hit paper breakdown → | 1997 | 3320 |
| 2 | Learning Bayesian Networks: The Combination of Knowledge and Statistical Data Hit paper breakdown → | 1995 | 2037 |
| 3 | Learning Bayesian networks: The combination of knowledge and statistical data Hit paper breakdown → | 1995 | 1502 |
| 4 | 1990 | 287 | |
| 5 | 2002 | 186 | |
| 6 | 2018 | 139 | |
| 7 | 2005 | 137 | |
| 8 | 1996 | 136 | |
| 9 | 2005 | 133 | |
| 10 | Learning Bayesian Networks: Search Methods and Experimental Results | 1995 | 124 |
| 11 | 2009 | 113 | |
| 12 | 2006 | 98 | |
| 13 | 2002 | 87 | |
| 14 | 1998 | 83 | |
| 15 | 2013 | 82 | |
| 16 | 2006 | 81 | |
| 17 | 1993 | 81 | |
| 18 | 2006 | 78 | |
| 19 | 2004 | 75 | |
| 20 | 1997 | 73 |
About Dan Geiger
Dan Geiger is a scholar working on Artificial Intelligence, Genetics, Molecular Biology, Computer Networks and Communications and Computational Theory and Mathematics, having authored 98 papers that have together received 10.6k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (40 papers), Genetic Associations and Epidemiology (18 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Bayesian Methods and Mixture Models (7 papers), Gene expression and cancer classification (7 papers), Logic, Reasoning, and Knowledge (7 papers), Genetic and phenotypic traits in livestock (6 papers) and Constraint Satisfaction and Optimization (6 papers). The work is most often cited by research in Artificial Intelligence (5.6k citations), Signal Processing (936 citations), Management Science and Operations Research (1.0k citations), Statistics and Probability (549 citations) and Computational Theory and Mathematics (1.1k citations). Dan Geiger has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include David Heckerman, David M. Chickering, Nir Friedman, Moisés Goldszmidt, Judea Pearl, Thomas Verma, Christopher Meek, Omer Weissbrod, Mark Silberstein and Max Chickering. 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.