Jeff Shrager

3.4k citations
68 papers · 2.7k · h-index 22

Impact in

Papers in

Jeff Shrager

67 papers receiving 2.5k citations

Peers

Jeff Shrager
Comparison fields: 5 of 172
  • Museology 138
  • Developmental and Educational Psychology 442
  • Statistics and Probability 246
  • Renewable Energy, Sustainability and the Environment 341
  • Experimental and Cognitive Psychology 216
Replace Lorenzo Magnani with:
Lorenzo Magnani Italy
Bruce D. Burns Australia
Heinz von Foerster United States
Pingping Chen China
Michael Horn United States
Xiaoting Huang China
Arthur Koestler United States
Charles Anderson United States
Allan Dafoe United States
Fumio Takahashi Japan
Jeff Shrager relative to Lorenzo Magnani Italy Lorenzo Magnani's profile →
Citations per field
00.5×10×20×27.6×
Lorenzo Magnani · 1×
Citations per year

Countries citing papers authored by Jeff Shrager

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jeff Shrager Line = papers co-authored together Jeff Shrager links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Computational Models of Scientific Discovery and Theory Formation
1990338
2 2001323
3 1998293
4 2004175
5 2003153
6 2008151
7 2003134
8 201297
9 201176
10 199774
11 201473
12 198954
13 200853
14 198650
15 200840
16 199538
17
An expert system that volunteers advice
198236
18 200934
19 198731
20 198830

About Jeff Shrager

Jeff Shrager is a scholar working on Information Systems and Management, Artificial Intelligence, Molecular Biology, Cancer Research and Renewable Energy, Sustainability and the Environment, having authored 68 papers that have together received 2.7k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (10 papers), Semantic Web and Ontologies (7 papers), Photosynthetic Processes and Mechanisms (7 papers), Algal biology and biofuel production (6 papers), Cancer Genomics and Diagnostics (5 papers), AI-based Problem Solving and Planning (5 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Museology (138 citations), Developmental and Educational Psychology (442 citations), Statistics and Probability (246 citations), Renewable Energy, Sustainability and the Environment (341 citations) and Experimental and Cognitive Psychology (216 citations). Jeff Shrager has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Pat Langley, Robert S. Siegler, Arthur Robert Grossman, Kevin J. Crowley, Maureen A. Callanan, Jay M. Tenenbaum, Jennifer L. Jipson, Chiung-Wen Mary Chang, Zhaoduo Zhang and Olivier Vallon. Their work appears in journals such as PLoS ONE, Science, Machine Learning, Bioinformatics and Artificial Intelligence.

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.

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