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.
Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment.
19931.3k citationsJerome R. Busemeyer, James T. TownsendPsychological Reviewprofile →
Stochastic Modeling of Elementary Psychological Processes
19851.2k citationsJames T. Townsend et al.profile →
Varieties of perceptual independence.
1986574 citationsJames T. Townsend et al.Psychological Reviewprofile →
Multialternative decision field theory: A dynamic connectionst model of decision making.
2001539 citationsRobert M. Roe, Jerome R. Busemeyer et al.Psychological Reviewprofile →
Unmet supportive care needs of people with advanced cancer and their caregivers: A systematic scoping review
2022124 citationsJames T. Townsend et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by James T. Townsend
Since
Specialization
Citations
This map shows the geographic impact of James T. Townsend'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 James T. Townsend with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Townsend more than expected).
Fields of papers citing papers by James T. Townsend
This network shows the impact of papers produced by James T. Townsend. 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 James T. Townsend. The network helps show where James T. Townsend may publish in the future.
Co-authorship network of co-authors of James T. Townsend
This figure shows the co-authorship network connecting the top 25 collaborators of James T. Townsend.
A scholar is included among the top collaborators of James T. Townsend 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 James T. Townsend. James T. Townsend is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Townsend, James T., et al.. (2019). Practical lossless compression with latent variables using bits back coding. UCL Discovery (University College London).6 indexed citations
8.
Townsend, James T., Niklas Koep, & Sebastian Weichwald. (2016). Pymanopt: a python toolbox for optimization on manifolds using automatic differentiation. Journal of Machine Learning Research. 17(1). 4755–4759.33 indexed citations
Houpt, Joseph W. & James T. Townsend. (2010). A New Perspective on Visual Word Processing Efficiency. Journal of Bioresource Management. 32(32).2 indexed citations
13.
Blaha, Leslie M., Thomas A. Busey, & James T. Townsend. (2009). An LDA Approach to the Neural Correlates of Configural Learning. eScholarship (California Digital Library). 31(31).7 indexed citations
Roe, Robert M., Jerome R. Busemeyer, & James T. Townsend. (2001). Multialternative decision field theory: A dynamic connectionst model of decision making.. Psychological Review. 108(2). 370–392.539 indexed citations breakdown →
17.
Busemeyer, Jerome R. & James T. Townsend. (1993). Decision field theory: A dynamic-cognitive approach to decision making in an uncertain environment.. Psychological Review. 100(3). 432–459.1292 indexed citations breakdown →
18.
Fisher, Donald L. & James T. Townsend. (1993). Models of Morse Code Skill Acquisition: Simulation and Analysis. Defense Technical Information Center (DTIC).2 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.