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.
Parallel Distributed Processing
198610.1k citationsDavid E. Rumelhart, James L. McClelland et al.profile →
Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory.
19953.4k citationsJames L. McClelland, Bruce L. McNaughton et al.Psychological Reviewprofile →
An interactive activation model of context effects in letter perception: I. An account of basic findings.
19813.4k citationsJames L. McClelland, David E. RumelhartPsychological Reviewprofile →
A distributed, developmental model of word recognition and naming.
19892.7k citationsJames L. McClelland et al.Psychological Reviewprofile →
Parallel Distributed Processing
19872.2k citationsJames L. McClelland, David E. Rumelhart et al.profile →
The TRACE model of speech perception
19862.0k citationsJames L. McClelland et al.profile →
Understanding normal and impaired word reading: Computational principles in quasi-regular domains.
19962.0k citationsJames L. McClelland et al.Psychological Reviewprofile →
The time course of perceptual choice: The leaky, competing accumulator model.
20011.5k citationsJames L. McClelland et al.Psychological Reviewprofile →
19861.2k citationsDavid E. Rumelhart, James L. McClellandMIT Press eBooksprofile →
An interactive activation model of context effects in letter perception: II. The contextual enhancement effect and some tests and extensions of the model.
19821.1k citationsDavid E. Rumelhart, James L. McClellandPsychological Reviewprofile →
On the time relations of mental processes: An examination of systems of processes in cascade.
1979986 citationsJames L. McClellandPsychological Reviewprofile →
Structure and Deterioration of Semantic Memory: A Neuropsychological and Computational Investigation.
2004691 citationsJames L. McClelland et al.Psychological Reviewprofile →
Distributed memory and the representation of general and specific information.
1985670 citationsJames L. McClelland, David E. Rumelhartprofile →
Countries citing papers authored by James L. McClelland
Since
Specialization
Citations
This map shows the geographic impact of James L. McClelland'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 L. McClelland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James L. McClelland more than expected).
Fields of papers citing papers by James L. McClelland
This network shows the impact of papers produced by James L. McClelland. 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 L. McClelland. The network helps show where James L. McClelland may publish in the future.
Co-authorship network of co-authors of James L. McClelland
This figure shows the co-authorship network connecting the top 25 collaborators of James L. McClelland.
A scholar is included among the top collaborators of James L. McClelland 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 L. McClelland. James L. McClelland is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lampinen, Andrew K., et al.. (2017). Analogies Emerge from Learning Dyamics in Neural Networks.. Cognitive Science.2 indexed citations
9.
Rabovsky, Milena, Steven Hansen, & James L. McClelland. (2016). N400 amplitudes reflect change in a probabilistic representation of meaning: Evidence from a connectionist model.. Cognitive Science.2 indexed citations
10.
McClelland, James L., et al.. (2014). A neural network model of learning mathematical equivalence.. Cognitive Science. 36(36).2 indexed citations
Mirman, Daniel, James L. McClelland, & Lori L. Holt. (2004). Attentional Modulation of Lexical Effects in an Interactive Model of Speech Perception. eScholarship (California Digital Library). 26(26).1 indexed citations
17.
Servan‐Schreiber, David, Axel Cleeremans, & James L. McClelland. (1988). Learning Sequential Structure in Simple Recurrent Networks. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1. 643–652.113 indexed citations
18.
Hinton, Geoffrey E. & James L. McClelland. (1987). Learning Representations by Recirculation. Queensland's institutional digital repository (The University of Queensland). 358–366.67 indexed citations
19.
McClelland, James L., et al.. (1986). Mechanisms of sentence processing: assigning roles to constituents. MIT Press eBooks. 272–325.89 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.