Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Conditional Image Synthesis With Auxiliary Classifier GANs
20161.0k citationsJonathon Shlens et al.arXiv (Cornell University)profile →
Spatio-temporal correlations and visual signalling in a complete neuronal population
2008857 citationsJonathan W. Pillow, Jonathon Shlens et al.profile →
Countries citing papers authored by Jonathon Shlens
Since
Specialization
Citations
This map shows the geographic impact of Jonathon Shlens'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 Jonathon Shlens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathon Shlens more than expected).
This network shows the impact of papers produced by Jonathon Shlens. 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 Jonathon Shlens. The network helps show where Jonathon Shlens may publish in the future.
Co-authorship network of co-authors of Jonathon Shlens
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathon Shlens.
A scholar is included among the top collaborators of Jonathon Shlens 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 Jonathon Shlens. Jonathon Shlens is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bello, Irwan, William Fedus, Xianzhi Du, et al.. (2021). Revisiting ResNets: Improved Training and Scaling Strategies. Neural Information Processing Systems. 34.2 indexed citations
Chen, Liang-Chieh, Raphael Gontijo Lopes, Bowen Cheng, et al.. (2020). Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.. arXiv (Cornell University).2 indexed citations
6.
Chen, Liang-Chieh, Raphael Gontijo Lopes, Bowen Cheng, et al.. (2020). Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. arXiv (Cornell University).5 indexed citations
7.
Norouzi, Mohammad, Tomáš Mikolov, Samy Bengio, et al.. (2013). Zero-Shot Learning by Convex Combination of Semantic Embeddings. arXiv (Cornell University).427 indexed citations breakdown →
Sher, Alexander, Jeffrey L. Gauthier, Greg D. Field, et al.. (2009). Functional Identification of Individual Cones in the Receptive Fields of Primate Retinal Ganglion Cells. Investigative Ophthalmology & Visual Science. 50(13). 6150–6150.1 indexed citations
Field, Greg D., Jeffrey L. Gauthier, Martin Greschner, et al.. (2008). Light Adaptation Changes the Size of Receptive Fields in Seven Distinct Primate Retinal Ganglion Cell Types. Investigative Ophthalmology & Visual Science. 49(13). 3856–3856.1 indexed citations
16.
Shlens, Jonathon, Fred Rieke, & E. J. Chichilnisky. (2008). Synchronized firing in the retina. Current Opinion in Neurobiology. 18(4). 396–402.58 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.