David E. Rumelhart

105.8k total citations · 16 hit papers
89 papers, 50.8k citations indexed

About

David E. Rumelhart is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, David E. Rumelhart has authored 89 papers receiving a total of 50.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 12 papers in Cognitive Neuroscience and 10 papers in Developmental and Educational Psychology. Recurrent topics in David E. Rumelhart's work include Neural Networks and Applications (23 papers), Blind Source Separation Techniques (5 papers) and Speech Recognition and Synthesis (5 papers). David E. Rumelhart is often cited by papers focused on Neural Networks and Applications (23 papers), Blind Source Separation Techniques (5 papers) and Speech Recognition and Synthesis (5 papers). David E. Rumelhart collaborates with scholars based in United States, Thailand and Canada. David E. Rumelhart's co-authors include James L. McClelland, Geoffrey E. Hinton, Ronald J. Williams, David Zipser, Donald A. Norman, Michael I. Jordan, Andreas S. Weigend, Bernardo A. Huberman, Elizabeth F. Loftus and Bernard Widrow and has published in prestigious journals such as Nature, Science and Psychological Review.

In The Last Decade

David E. Rumelhart

87 papers receiving 47.1k citations

Hit Papers

Learning representations by back-propagating errors 1975 2026 1992 2009 1986 1986 1981 1987 1989 5.0k 10.0k 15.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David E. Rumelhart United States 47 19.6k 11.6k 7.2k 5.4k 4.4k 89 50.8k
James L. McClelland United States 89 14.7k 0.8× 29.0k 2.5× 17.9k 2.5× 2.7k 0.5× 9.5k 2.1× 267 53.9k
Demis Hassabis United Kingdom 52 20.7k 1.1× 8.9k 0.8× 2.1k 0.3× 7.2k 1.3× 1.8k 0.4× 77 51.2k
Joshua B. Tenenbaum United States 76 13.9k 0.7× 7.0k 0.6× 6.4k 0.9× 9.2k 1.7× 2.6k 0.6× 413 34.1k
Terrence J. Sejnowski United States 125 10.4k 0.5× 43.2k 3.7× 1.8k 0.3× 5.9k 1.1× 4.7k 1.1× 619 73.7k
Michael I. Jordan United States 117 48.1k 2.5× 8.6k 0.7× 1.2k 0.2× 19.3k 3.6× 1.7k 0.4× 556 96.0k
John W. Tukey United States 70 6.7k 0.3× 3.2k 0.3× 1.2k 0.2× 4.7k 0.9× 1.8k 0.4× 229 52.7k
Jeffrey L. Elman United States 44 8.2k 0.4× 6.7k 0.6× 5.5k 0.8× 1.3k 0.2× 4.0k 0.9× 102 19.8k
Tomaso Poggio United States 102 12.1k 0.6× 15.1k 1.3× 712 0.1× 23.6k 4.4× 1.8k 0.4× 424 51.0k
Alan Yuille United States 96 13.5k 0.7× 5.9k 0.5× 1.9k 0.3× 31.5k 5.8× 1.8k 0.4× 571 51.8k
Richard S. Sutton Canada 51 20.7k 1.1× 5.9k 0.5× 904 0.1× 3.9k 0.7× 755 0.2× 144 40.8k

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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
11.
Durbin, Richard & David E. Rumelhart. (1989). Product Units: A Computationally Powerful and Biologically Plausible Extension to Backpropagation Networks. Neural Computation. 1(1). 133–142. 281 indexed citations
12.
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
14.
Rumelhart, David E. & James L. McClelland. (1986). Parallel distributed processing: explorations in the microstructure of cognition, vol. 2: psychological and biological models. MIT Press eBooks. 663 indexed citations breakdown →
15.
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
17.
Rumelhart, David E. & James L. McClelland. (1986). Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations. MIT Press eBooks. 1177 indexed citations breakdown →
18.
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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026