David E. Heckerman
Impact in
- Virology top 0.05%
- HIV Research and Treatment
- Artificial Intelligence top 0.05%
- Bayesian Modeling and Causal Inference
- AI-based Problem Solving and Planning
Papers in
- Virology 76
- HIV Research and Treatment 76
-
- Bayesian Modeling and Causal Inference 69
- AI-based Problem Solving and Planning 21
- Machine Learning and Algorithms 13
- Co-authors
- Dan Geiger (19 shared papers)David M. Chickering (6 shared papers)Eric Horvitz (21 shared papers)Susan Dumais (2 shared papers)Mehran Sahami (2 shared papers)Carl Myers Kadie (41 shared papers)Jennifer Listgarten (22 shared papers)Christoph Lippert (15 shared papers)
- Journals
- Journal of Virology (25 papers)PLoS ONE (15 papers)Machine Learning (6 papers)Bioinformatics (6 papers)PLoS Computational Biology (6 papers)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
David E. Heckerman
247 papers receiving 29.6k citations
David E. Heckerman's Hit Papers
Peers
Comparison fields: 5 of 222
- Virology 5.3k
- Artificial Intelligence 10.6k
- Neurology 3.0k
- Immunology 3.7k
- Signal Processing 1.9k
Countries citing papers authored by David E. Heckerman
This map shows the geographic impact of David E. Heckerman'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 David E. Heckerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Heckerman more than expected).
Fields of papers citing papers by David E. Heckerman
This network shows the impact of papers produced by David E. Heckerman. 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 David E. Heckerman. The network helps show where David E. Heckerman may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Heckerman, 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 251 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Hexanucleotide Repeat Expansion in C9ORF72 Is the Cause of Chromosome 9p21-Linked ALS-FTD Hit paper breakdown → | 2011 | 3652 |
| 2 | Learning Bayesian Networks: The Combination of Knowledge and Statistical Data Hit paper breakdown → | 1995 | 2362 |
| 3 | Learning Bayesian networks: The combination of knowledge and statistical data Hit paper breakdown → | 1995 | 1691 |
| 4 | Efficient Control of Population Structure in Model Organism Association Mapping Hit paper breakdown → | 2008 | 1357 |
| 5 | Inductive learning algorithms and representations for text categorization Hit paper breakdown → | 1998 | 1159 |
| 6 | FaST linear mixed models for genome-wide association studies Hit paper breakdown → | 2011 | 897 |
| 7 | A Bayesian Approach to Filtering Junk E-Mail Hit paper breakdown → | 1998 | 887 |
| 8 | CD8+ T-cell responses to different HIV proteins have discordant associations with viral load Hit paper breakdown → | 2006 | 868 |
| 9 | A Tutorial on Learning with Bayesian Networks Hit paper breakdown → | 2008 | 839 |
| 10 | Allele-defined genome of the autopolyploid sugarcane Saccharum spontaneum L. Hit paper breakdown → | 2018 | 541 |
| 11 | 1998 | 527 | |
| 12 | 1997 | 505 | |
| 13 | 2009 | 376 | |
| 14 | 2010 | 356 | |
| 15 | 2013 | 324 | |
| 16 | 2008 | 311 | |
| 17 | 2012 | 306 | |
| 18 | 1994 | 293 | |
| 19 | 1996 | 290 | |
| 20 | 1995 | 284 |
About David E. Heckerman
David E. Heckerman is a scholar working on Virology, Artificial Intelligence, Immunology, Management Science and Operations Research and Molecular Biology, having authored 251 papers that have together received 31.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (76 papers), Bayesian Modeling and Causal Inference (69 papers), vaccines and immunoinformatics approaches (40 papers), T-cell and B-cell Immunology (30 papers), Immune Cell Function and Interaction (28 papers), AI-based Problem Solving and Planning (21 papers), HIV/AIDS drug development and treatment (17 papers) and Machine Learning and Algorithms (13 papers). The work is most often cited by research in Virology (5.3k citations), Artificial Intelligence (10.6k citations), Neurology (3.0k citations), Immunology (3.7k citations) and Signal Processing (1.9k citations). David E. Heckerman has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Dan Geiger, David M. Chickering, Eric Horvitz, Susan Dumais, Mehran Sahami, Carl Myers Kadie, Jennifer Listgarten, Christoph Lippert, John C. Platt and Eleazar Eskin. Their work appears in journals such as Journal of Virology, PLoS ONE, Machine Learning, Bioinformatics and PLoS Computational Biology.
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.