This map shows the geographic impact of Ed Vul'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 Ed Vul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ed Vul more than expected).
This network shows the impact of papers produced by Ed Vul. 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 Ed Vul. The network helps show where Ed Vul may publish in the future.
Co-authorship network of co-authors of Ed Vul
This figure shows the co-authorship network connecting the top 25 collaborators of Ed Vul.
A scholar is included among the top collaborators of Ed Vul 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 Ed Vul. Ed Vul 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.
Vul, Ed, et al.. (2021). Lies are crafted to the audience. eScholarship (California Digital Library). 43(43).1 indexed citations
Vul, Ed, et al.. (2015). Structured priors in visual working memory revealed through iterated learning.. eScholarship (California Digital Library).4 indexed citations
7.
Srivastava, Nisheeth & Ed Vul. (2015). Choosing fast and slow: explaining differences between hedonic and utilitarian choices..2 indexed citations
8.
Srivastava, Nisheeth & Ed Vul. (2015). Attention dynamics in multiple object tracking.. eScholarship (California Digital Library).3 indexed citations
9.
Srivastava, Nisheeth, Ed Vul, & Paul Schrater. (2014). Magnitude-sensitive preference formation`. Neural Information Processing Systems. 27. 1080–1088.5 indexed citations
10.
Bourgin, David, Joshua T. Abbott, Thomas L. Griffiths, Kevin A. Smith, & Ed Vul. (2014). Empirical Evidence for Markov Chain Monte Carlo in Memory Search.. Cognitive Science. 36(36).18 indexed citations
Cain, Matthew S., Ed Vul, Kait Clark, & Stephen R. Mitroff. (2011). An Optimal Foraging Model of Human Visual Search. eScholarship (California Digital Library). 33(33).1 indexed citations
Gershman, Samuel J., Ed Vul, & Joshua B. Tenenbaum. (2009). Perceptual Multistability as Markov Chain Monte Carlo Inference. DSpace@MIT (Massachusetts Institute of Technology). 22. 611–619.15 indexed citations
16.
Vul, Ed, George A. Alvarez, Joshua B. Tenenbaum, & Michael J. Black. (2009). Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 22. 1955–1963.72 indexed citations
Pashler, Harold, Nicholas J. Cepeda, Robert Lindsey, Ed Vul, & Michael C. Mozer. (2009). Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory. 22. 1321–1329.51 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.