David E. Rumelhart

105.8k citations
89 papers · 50.8k indexed · 16 hit papers · h-index 47
Topics
Neural Networks and Applications (23 papers)Blind Source Separation Techniques (5 papers)Speech Recognition and Synthesis (5 papers)

In The Last Decade

David E. Rumelhart

87 papers receiving 47.1k citations

Hit Papers

Learning representations by back-propagating errors1975202619922009198619861981198719895.0k10.0k15.0k

Peers

David E. Rumelhart
Comparison fields: 5 of 241
  • Artificial Intelligence 19.6k
  • Cognitive Neuroscience 11.6k
  • Developmental and Educational Psychology 7.2k
  • Computer Vision and Pattern Recognition 5.4k
  • Experimental and Cognitive Psychology 4.4k
Replace James L. McClelland with:
James L. McClelland United States
Demis Hassabis United Kingdom
Jeffrey L. Elman United States
John W. Tukey United States
Joshua B. Tenenbaum United States
Michael I. Jordan United States
Hirotugu Akaike Japan
Adrian E. Raftery United States
Tomaso Poggio United States
Alan Yuille United States
David E. Rumelhart relative to James L. McClelland United States James L. McClelland's profile →
Citations per field
00.5×1.5×2.4×
James L. McClelland · 1×
Citations per year

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
#WorkIndexed citations
1
Facial Expression Recognition Using a Neural Network
131
2 37
3
Backpropagation: the basic theory
203
4
Back-Propagation: Theory, Architecture, and Applications
42
5
Weight elimination and effective network size
3
6
The neurobiological significance of the new learning models
15
7
Context-Dependent Multiple Distribution Phonetic Modeling with MLPs
18
8
A Self-Organizing Integrated Segmentation and Recognition Neural Net
30
9
Integrated Segmentation and Recognition of Hand-Printed Numerals
79
10
Brain style computation: learning and generalization
47
11 281
12
Similarity and Analogical Reasoningbreakdown →
1600
13
Implementing neural networks
5
14
Parallel distributed processing: explorations in the microstructure of cognition, vol. 2: psychological and biological modelsbreakdown →
663
15
Psychological and biological models
274
16
Parallel distributed processing: explorations in the microstructure, vol. 2: psychological and biological models
2
17
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundationsbreakdown →
1177
18
Learning representations by back-propagating errorsbreakdown →
19290
19
An interactive activation model of context effects in letter perception: II. The contextual enhancement effect and some tests and extensions of the model.breakdown →
1123
20
Active semantic networks as a model of human memory
24

About David E. Rumelhart

David E. Rumelhart is a scholar working on Artificial Intelligence, Signal Processing and Developmental and Educational Psychology, having authored 89 papers that have together received 50.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (23 papers), Blind Source Separation Techniques (5 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Artificial Intelligence (19.6k citations), Cognitive Neuroscience (11.6k citations) and Developmental and Educational Psychology (7.2k citations). David E. Rumelhart has collaborated with scholars based in United States, Thailand and Canada. Frequent 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. Their work appears in journals such as Nature, Science and Psychological Review.

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