Jeff Shrager

3.4k citations
70 papers · 2.7k · h-index 23

Impact in

Papers in

    • Semantic Web and Ontologies 7
    • AI-based Problem Solving and Planning 5
    • Evolutionary Algorithms and Applications 4
    • Photosynthetic Processes and Mechanisms 7
    • Genetics, Bioinformatics, and Biomedical Research 5

Jeff Shrager

67 papers receiving 2.4k citations

Peers

Jeff Shrager
Comparison fields: 5 of 172
  • Museology 139
  • Developmental and Educational Psychology 450
  • Statistics and Probability 245
  • Renewable Energy, Sustainability and the Environment 342
  • Experimental and Cognitive Psychology 217
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Citations per field
00.5×10×15×20×23.2×
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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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990340
2 2001320
3 1998290
4 2004172
5 2008153
6 2003152
7 2003137
8 201299
9 199775
10 201171
11 201467
12 198956
13 198654
14 200852
15 200842
16 199538
17
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198235
18 200934
19 198832
20 200431

About Jeff Shrager

Jeff Shrager is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems and Management, Oncology and Cancer Research, having authored 70 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), 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 (5 papers) and Evolutionary Algorithms and Applications (4 papers). The work is most often cited by research in Museology (139 citations), Developmental and Educational Psychology (450 citations), Statistics and Probability (245 citations), Renewable Energy, Sustainability and the Environment (342 citations) and Experimental and Cognitive Psychology (217 citations). Jeff Shrager has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Pat Langley, Robert S. Siegler, Arthur Grossman, Kevin Crowley, Maureen A. Callanan, Jennifer L. Jipson, Jay M. Tenenbaum, Chiung‐Wen Chang, Zhaoduo Zhang and Olivier Vallon. Their work appears in journals such as PLoS ONE, Bioinformatics, Journal of Phycology, Artificial Intelligence in Medicine 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.

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