Jeff Shrager

3.3k total citations
63 papers, 2.3k citations indexed

About

Jeff Shrager is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems and Management. According to data from OpenAlex, Jeff Shrager has authored 63 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 23 papers in Molecular Biology and 14 papers in Information Systems and Management. Recurrent topics in Jeff Shrager's work include Scientific Computing and Data Management (11 papers), Photosynthetic Processes and Mechanisms (7 papers) and Cancer Genomics and Diagnostics (6 papers). Jeff Shrager is often cited by papers focused on Scientific Computing and Data Management (11 papers), Photosynthetic Processes and Mechanisms (7 papers) and Cancer Genomics and Diagnostics (6 papers). Jeff Shrager collaborates with scholars based in United States, France and Italy. Jeff Shrager's co-authors include Robert S. Siegler, Pat Langley, Arthur Grossman, Kevin Crowley, Maureen A. Callanan, Jay M. Tenenbaum, Jennifer L. Jipson, Chiung‐Wen Chang, Zhaoduo Zhang and Olivier Vallon and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Jeff Shrager

61 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeff Shrager United States 21 751 405 353 345 295 63 2.3k
Lorenzo Magnani Italy 23 176 0.2× 187 0.5× 441 1.2× 234 0.7× 56 0.2× 147 2.3k
Christopher A. Sanchez United States 20 318 0.4× 571 1.4× 112 0.3× 434 1.3× 5 0.0× 65 1.9k
Thomas A. Ryan United States 19 186 0.2× 132 0.3× 67 0.2× 95 0.3× 5 0.0× 46 1.7k
Chris Jones United Kingdom 30 155 0.2× 315 0.8× 261 0.7× 806 2.3× 40 0.1× 142 3.7k
Jeffrey Mervis United States 16 207 0.3× 102 0.3× 71 0.2× 307 0.9× 12 0.0× 534 1.8k
Peter J. Bailey United Kingdom 39 1.6k 2.1× 271 0.7× 203 0.6× 21 0.1× 18 0.1× 144 4.8k
Jean-Baptiste Michel United States 20 535 0.7× 73 0.2× 714 2.0× 59 0.2× 16 0.1× 44 3.7k
Fang Liu China 31 190 0.3× 115 0.3× 142 0.4× 108 0.3× 17 0.1× 216 3.7k
Tore Opsahl United Kingdom 11 308 0.4× 77 0.2× 482 1.4× 63 0.2× 6 0.0× 15 4.2k

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-authorship network of co-authors of Jeff Shrager

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Shrager. A scholar is included among the top collaborators of Jeff Shrager based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeff Shrager. Jeff Shrager is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Stuhlmiller, Timothy J., Asher Wasserman, Glenn A. Kramer, et al.. (2023). AI-Augmented Clinical Decision Support in a Patient-Centric Precision Oncology Registry. 1(1). 58–68. 10 indexed citations
3.
Wasserman, Asher, et al.. (2022). Virtual Trials: Causally-validated treatment effects efficiently learned from an observational cancer registry. Artificial Intelligence in Medicine. 135. 102450–102450. 1 indexed citations
4.
Collins, Harry, et al.. (2022). Hypernormal Science and its Significance. Perspectives on Science. 31(2). 262–292. 4 indexed citations
5.
West, Lisandra, Smruti J. Vidwans, Nicholas Campbell, et al.. (2012). A Novel Classification of Lung Cancer into Molecular Subtypes. PLoS ONE. 7(2). e31906–e31906. 91 indexed citations
6.
Vidwans, Smruti J., Keith T. Flaherty, David E. Fisher, et al.. (2011). A Melanoma Molecular Disease Model. PLoS ONE. 6(3). e18257–e18257. 67 indexed citations
7.
Waldinger, Richard & Jeff Shrager. (2008). Answering Science Questions: Deduction with Answer Extraction and Procedural Attachment.. National Conference on Artificial Intelligence. 109–113. 2 indexed citations
8.
Bailey, Shaun, Anastasios Melis, Katherine R. M. Mackey, et al.. (2008). Alternative photosynthetic electron flow to oxygen in marine Synechococcus. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1777(3). 269–276. 126 indexed citations
9.
Berg, Gry Mine, Jeff Shrager, Gernot Glöckner, Kevin R. Arrigo, & Arthur Grossman. (2008). UNDERSTANDING NITROGEN LIMITATION IN AUREOCOCCUS ANOPHAGEFFERENS (PELAGOPHYCEAE) THROUGH cDNA AND qRT‐PCR ANALYSIS1. Journal of Phycology. 44(5). 1235–1249. 51 indexed citations
10.
Shrager, Jeff, et al.. (2007). Deductive Biocomputing. PLoS ONE. 2(4). e339–e339. 8 indexed citations
11.
Langley, Pat, et al.. (2006). Constructing explanatory process models from biological data and knowledge. Artificial Intelligence in Medicine. 37(3). 191–201. 22 indexed citations
12.
Travers, Michael, et al.. (2004). BioLingua: a programmable knowledge environment for biologists. Bioinformatics. 21(2). 199–207. 26 indexed citations
13.
Labiosa, Rochelle G., et al.. (2003). Diurnal variations in pathways of photosynthetic carbon fixation in a freshwater cyanobacterium. EGS - AGU - EUG Joint Assembly. 14363. 2 indexed citations
14.
Shrager, Jeff. (2003). The fiction of function. Bioinformatics. 19(15). 1934–1936. 17 indexed citations
15.
Bay, Stephen D., Jeff Shrager, Andrew Pohorille, & Pat Langley. (2002). Revising regulatory networks: from expression data to linear causal models. Journal of Biomedical Informatics. 35(5-6). 289–297. 17 indexed citations
16.
Elkind, Jerome I. & Jeff Shrager. (1995). Modeling and analysis of dyslexic writing using speech and other modalities. Cambridge University Press eBooks. 145–168. 1 indexed citations
17.
Langley, Pat, Wayne Iba, & Jeff Shrager. (1994). Reactive and automatic behavior in plan execution. 299–304. 2 indexed citations
18.
Shrager, Jeff & Pat Langley. (1990). Computational Models of Scientific Discovery and Theory Formation. Medical Entomology and Zoology. 35(6). 737–743. 250 indexed citations
19.
Shrager, Jeff, et al.. (1986). Elastase production by B16-F10 melanoma cells. Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States). 1 indexed citations
20.
Shrager, Jeff & Tim Finin. (1982). An expert system that volunteers advice. National Conference on Artificial Intelligence. 339–340. 29 indexed citations

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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