Jeff Shrager
Impact in
- Museology top 0.5%
- Museums and Cultural Heritage
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- Child and Animal Learning Development
Papers in
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- Semantic Web and Ontologies 6
- AI-based Problem Solving and Planning 5
- Evolutionary Algorithms and Applications 4
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- Photosynthetic Processes and Mechanisms 7
- Genetics, Bioinformatics, and Biomedical Research 4
- Co-authors
- Robert S. Siegler (2 shared papers)Pat Langley (5 shared papers)Arthur Grossman (7 shared papers)Kevin Crowley (2 shared papers)Maureen A. Callanan (2 shared papers)Jay M. Tenenbaum (3 shared papers)Jennifer L. Jipson (1 shared paper)Chiung‐Wen Chang (2 shared papers)
- Journals
- PLoS ONE (4 papers)Bioinformatics (2 papers)Machine Learning (2 papers)Artificial Intelligence (2 papers)Science (2 papers)
- Partner nations
- United StatesFranceItaly
In The Last Decade
Jeff Shrager
61 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 171
- Museology 123
- Developmental and Educational Psychology 405
- Statistics and Probability 226
- Renewable Energy, Sustainability and the Environment 295
- Experimental and Cognitive Psychology 196
Countries citing papers authored by Jeff Shrager
This map shows the geographic impact of Jeff Shrager'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 Jeff Shrager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Shrager more than expected).
Fields of papers citing papers by Jeff Shrager
This network shows the impact of papers produced by Jeff Shrager. 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 Jeff Shrager. The network helps show where Jeff Shrager may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Shrager, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 283 | |
| 2 | 1998 | 268 | |
| 3 | 1990 | 250 | |
| 4 | 2004 | 143 | |
| 5 | 2003 | 136 | |
| 6 | 2008 | 126 | |
| 7 | 2003 | 120 | |
| 8 | 2012 | 91 | |
| 9 | 1997 | 71 | |
| 10 | 2011 | 67 | |
| 11 | 2014 | 63 | |
| 12 | 2008 | 51 | |
| 13 | 1989 | 45 | |
| 14 | 1986 | 44 | |
| 15 | 2008 | 39 | |
| 16 | 1995 | 35 | |
| 17 | 2009 | 30 | |
| 18 | An expert system that volunteers advice | 1982 | 29 |
| 19 | 2004 | 26 | |
| 20 | 1988 | 25 |
About Jeff Shrager
Jeff Shrager is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems and Management, Cancer Research and Computer Networks and Communications, having authored 63 papers that have together received 2.3k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (11 papers), Photosynthetic Processes and Mechanisms (7 papers), Semantic Web and Ontologies (6 papers), Cancer Genomics and Diagnostics (6 papers), Algal biology and biofuel production (6 papers), AI-based Problem Solving and Planning (5 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Museology (123 citations), Developmental and Educational Psychology (405 citations), Statistics and Probability (226 citations), Renewable Energy, Sustainability and the Environment (295 citations) and Experimental and Cognitive Psychology (196 citations). Jeff Shrager has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Robert S. Siegler, Pat Langley, Arthur Grossman, Kevin Crowley, Maureen A. Callanan, Jay M. Tenenbaum, Jennifer L. Jipson, Chiung‐Wen Chang, Olivier Vallon and Zhaoduo Zhang. Their work appears in journals such as PLoS ONE, Bioinformatics, Machine Learning, Artificial Intelligence and Science.
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.