Greg Detre

3.1k total citations · 1 hit paper
9 papers, 2.1k citations indexed

About

Greg Detre is a scholar working on Cognitive Neuroscience, Artificial Intelligence and General Decision Sciences. According to data from OpenAlex, Greg Detre has authored 9 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 6 papers in Artificial Intelligence and 2 papers in General Decision Sciences. Recurrent topics in Greg Detre's work include Neural dynamics and brain function (2 papers), Face Recognition and Perception (2 papers) and Memory Processes and Influences (2 papers). Greg Detre is often cited by papers focused on Neural dynamics and brain function (2 papers), Face Recognition and Perception (2 papers) and Memory Processes and Influences (2 papers). Greg Detre collaborates with scholars based in United States, Switzerland and Italy. Greg Detre's co-authors include Kenneth A. Norman, Sean M. Polyn, James V. Haxby, Ehren L. Newman, Matthew Botvinick, Annamalai Natarajan, Samuel J. Gershman, Francisco Pereira, Francisco Pereira and Daniel M. Oppenheimer and has published in prestigious journals such as Psychological Review, Trends in Cognitive Sciences and Cognition.

In The Last Decade

Greg Detre

9 papers receiving 2.0k citations

Hit Papers

Beyond mind-reading: multi-voxel pattern analysis of fMRI... 2006 2026 2012 2019 2006 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg Detre United States 8 1.8k 264 201 195 166 9 2.1k
Rajeev D. S. Raizada United States 22 1.4k 0.7× 318 1.2× 152 0.8× 193 1.0× 71 0.4× 31 1.7k
Andrew C. Connolly United States 15 1.9k 1.0× 361 1.4× 142 0.7× 375 1.9× 163 1.0× 24 2.2k
Shinji Nishimoto Japan 16 2.1k 1.2× 245 0.9× 255 1.3× 220 1.1× 156 0.9× 50 2.6k
J. Swaroop Guntupalli United States 20 2.1k 1.1× 380 1.4× 151 0.8× 293 1.5× 289 1.7× 34 2.3k
Avniel Singh Ghuman United States 19 2.2k 1.2× 436 1.7× 112 0.6× 245 1.3× 119 0.7× 49 2.6k
Vicente L. Malave United States 7 1.2k 0.6× 134 0.5× 285 1.4× 209 1.1× 106 0.6× 7 1.6k
Janice Chen United States 19 2.4k 1.3× 393 1.5× 198 1.0× 363 1.9× 173 1.0× 45 2.8k
Martin N. Hebart Germany 22 1.8k 1.0× 329 1.2× 136 0.7× 246 1.3× 52 0.3× 63 2.2k
Galit Fuhrmann Alpert Israel 11 1.5k 0.8× 256 1.0× 70 0.3× 294 1.5× 131 0.8× 14 1.8k
Marieke Mur United Kingdom 14 1.8k 1.0× 325 1.2× 115 0.6× 285 1.5× 58 0.3× 38 2.1k

Countries citing papers authored by Greg Detre

Since Specialization
Citations

This map shows the geographic impact of Greg Detre'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 Greg Detre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Detre more than expected).

Fields of papers citing papers by Greg Detre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg Detre. 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 Greg Detre. The network helps show where Greg Detre may publish in the future.

Co-authorship network of co-authors of Greg Detre

This figure shows the co-authorship network connecting the top 25 collaborators of Greg Detre. A scholar is included among the top collaborators of Greg Detre 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 Greg Detre. Greg Detre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Bergner, Anouk, Daniel M. Oppenheimer, & Greg Detre. (2019). VAMP (Voting Agent Model of Preferences): A computational model of individual multi-attribute choice. Cognition. 192. 103971–103971. 8 indexed citations
2.
Detre, Greg, Annamalai Natarajan, Samuel J. Gershman, & Kenneth A. Norman. (2013). Moderate levels of activation lead to forgetting in the think/no-think paradigm. Neuropsychologia. 51(12). 2371–2388. 75 indexed citations
3.
Pereira, Francisco, Matthew Botvinick, & Greg Detre. (2012). Using Wikipedia to learn semantic feature representations of concrete concepts in neuroimaging experiments. Artificial Intelligence. 194. 240–252. 38 indexed citations
4.
Pereira, Francisco, Greg Detre, & Matthew Botvinick. (2011). Generating Text from Functional Brain Images. Frontiers in Human Neuroscience. 5. 72–72. 30 indexed citations
5.
Botvinick, Matthew, et al.. (2010). Learning semantic features for fMRI data from definitional text. North American Chapter of the Association for Computational Linguistics. 1–9. 10 indexed citations
6.
Oppenheimer, Daniel M., et al.. (2007). Application of Voting Geometry to Multialternative Choice. eScholarship (California Digital Library). 29(29). 4 indexed citations
7.
Norman, Kenneth A., Ehren L. Newman, & Greg Detre. (2007). A neural network model of retrieval-induced forgetting.. Psychological Review. 114(4). 887–953. 159 indexed citations
8.
Norman, Kenneth A., Sean M. Polyn, Greg Detre, & James V. Haxby. (2006). Beyond mind-reading: multi-voxel pattern analysis of fMRI data. Trends in Cognitive Sciences. 10(9). 424–430. 1648 indexed citations breakdown →
9.
Norman, Kenneth A., Ehren L. Newman, Greg Detre, & Sean M. Polyn. (2006). How Inhibitory Oscillations Can Train Neural Networks and Punish Competitors. Neural Computation. 18(7). 1577–1610. 83 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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