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.
Learning representations by back-propagating errors
198619.3k citationsDavid E. Rumelhart, Geoffrey E. Hinton et al.Natureprofile →
Parallel Distributed Processing
198610.1k citationsDavid E. Rumelhart, James L. McClelland et al.profile →
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 →
Parallel Distributed Processing
19872.2k citationsJames L. McClelland, David E. Rumelhart et al.profile →
Similarity and Analogical Reasoning
19891.6k citationsStella Vosniadou, Lance J. Rips et al.Cambridge University Press eBooksprofile →
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 →
Forward Models: Supervised Learning with a Distal Teacher
19921.0k citationsDavid E. Rumelhart et al.profile →
Explorations in Cognition
1975902 citationsDonald A. Norman, David E. Rumelhart et al.profile →
Feature Discovery by Competitive Learning*
1985696 citationsDavid E. Rumelhart, David Zipserprofile →
Distributed memory and the representation of general and specific information.
1985670 citationsJames L. McClelland, David E. Rumelhartprofile →
Countries citing papers authored by David E. Rumelhart
Since
Specialization
Citations
This map shows the geographic impact of David E. Rumelhart'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 David E. Rumelhart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Rumelhart more than expected).
Fields of papers citing papers by David E. Rumelhart
This network shows the impact of papers produced by David E. Rumelhart. 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 David E. Rumelhart. The network helps show where David E. Rumelhart may publish in the future.
Co-authorship network of co-authors of David E. Rumelhart
This figure shows the co-authorship network connecting the top 25 collaborators of David E. Rumelhart.
A scholar is included among the top collaborators of David E. Rumelhart 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 David E. Rumelhart. David E. Rumelhart 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.
Lisetti, Christine & David E. Rumelhart. (1998). Facial Expression Recognition Using a Neural Network. The Florida AI Research Society. 328–332.131 indexed citations
2.
Servos, Philip, Jeffrey M. Zacks, David E. Rumelhart, & Gary H. Glover. (1998). Somatotopy of the human arm using fMRI. Neuroreport. 9(4). 605–609.37 indexed citations
3.
Rumelhart, David E., Richard Durbin, Richard M. Golden, & Yves Chauvin. (1995). Backpropagation: the basic theory. 1–34.203 indexed citations
4.
Chauvin, Yves & David E. Rumelhart. (1995). Back-Propagation: Theory, Architecture, and Applications. 23(3). 276–7.42 indexed citations
5.
Weigend, Andreas S. & David E. Rumelhart. (1994). Weight elimination and effective network size. Conference on Learning Theory. 457–476.3 indexed citations
6.
Zipser, David & David E. Rumelhart. (1993). The neurobiological significance of the new learning models. MIT Press eBooks. 192–200.15 indexed citations
7.
Cohen, Michael, Horacio Franco, Nelson Morgan, David E. Rumelhart, & Victor Abrash. (1992). Context-Dependent Multiple Distribution Phonetic Modeling with MLPs. Neural Information Processing Systems. 5. 649–657.18 indexed citations
8.
Rumelhart, David E., et al.. (1991). A Self-Organizing Integrated Segmentation and Recognition Neural Net. Neural Information Processing Systems. 4. 496–503.30 indexed citations
9.
Keeler, James D., David E. Rumelhart, & Wee Kheng Leow. (1990). Integrated Segmentation and Recognition of Hand-Printed Numerals. Neural Information Processing Systems. 3. 557–563.79 indexed citations
10.
Rumelhart, David E.. (1990). Brain style computation: learning and generalization. 405–420.47 indexed citations
Vosniadou, Stella, Lance J. Rips, Edward E. Smith, et al.. (1989). Similarity and Analogical Reasoning. Cambridge University Press eBooks.1600 indexed citations breakdown →
13.
Savitch, Walter J., et al.. (1988). Implementing neural networks. University Microfilms International eBooks.5 indexed citations
McClelland, James L. & David E. Rumelhart. (1986). Psychological and biological models. MIT Press eBooks.274 indexed citations
16.
McClelland, James L. & David E. Rumelhart. (1986). Parallel distributed processing: explorations in the microstructure, vol. 2: psychological and biological models. MIT Press eBooks. 611–611.2 indexed citations
Rumelhart, David E., Geoffrey E. Hinton, & Ronald J. Williams. (1986). Learning representations by back-propagating errors. Nature. 323(6088). 533–536.19290 indexed citations breakdown →
19.
Rumelhart, David E. & James L. McClelland. (1982). An interactive activation model of context effects in letter perception: II. The contextual enhancement effect and some tests and extensions of the model.. Psychological Review. 89(1). 60–94.1123 indexed citations breakdown →
20.
Rumelhart, David E. & Donald A. Norman. (1973). Active semantic networks as a model of human memory. International Joint Conference on Artificial Intelligence. 450–457.24 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.