This map shows the geographic impact of Evan Archer'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 Evan Archer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Archer more than expected).
This network shows the impact of papers produced by Evan Archer. 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 Evan Archer. The network helps show where Evan Archer may publish in the future.
Co-authorship network of co-authors of Evan Archer
This figure shows the co-authorship network connecting the top 25 collaborators of Evan Archer.
A scholar is included among the top collaborators of Evan Archer 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 Evan Archer. Evan Archer 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.
Speiser, Artur, Jinyao Yan, Evan Archer, et al.. (2017). Fast amortized inference of neural activity from calcium imaging data with variational autoencoders. MPG.PuRe (Max Planck Society). 30. 4024–4034.6 indexed citations
2.
Sun, Ruoxi, Evan Archer, & Liam Paninski. (2017). Scalable Variational Inference for Super Resolution Microscopy. International Conference on Artificial Intelligence and Statistics. 1057–1065.
Archer, Evan, Urs Köster, Jonathan W. Pillow, & Jakob H. Macke. (2014). Low-dimensional models of neural population activity in sensory cortical circuits. Max Planck Digital Library. 27. 343–351.20 indexed citations
5.
Park, Il Memming, Evan Archer, Kenneth W. Latimer, & Jonathan W. Pillow. (2013). Universal models for binary spike patterns using centered Dirichlet processes. Neural Information Processing Systems. 26. 2463–2471.4 indexed citations
6.
Park, Il Memming, Evan Archer, Nicholas J. Priebe, & Jonathan W. Pillow. (2013). Spectral methods for neural characterization using generalized quadratic models. Neural Information Processing Systems. 26. 2454–2462.32 indexed citations
7.
Archer, Evan, Il Memming Park, & Jonathan W. Pillow. (2013). Bayesian entropy estimation for binary spike train data using parametric prior knowledge. Neural Information Processing Systems. 26. 1700–1708.15 indexed citations
Archer, Evan, Il Memming Park, & Jonathan W. Pillow. (2012). Bayesian estimation of discrete entropy with mixtures of stick-breaking priors. Neural Information Processing Systems. 25. 2015–2023.10 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.