David Zipser

12.4k citations
73 papers · 8.7k · 5 hit papers · h-index 37

Impact in

    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Memory and Neural Mechanisms
    • Neural Networks and Applications
    • Neural Networks and Reservoir Computing

Papers in

    • RNA and protein synthesis mechanisms 15
    • Biochemical and Molecular Research 8
    • Glycosylation and Glycoproteins Research 7
    • Neural dynamics and brain function 15

David Zipser

73 papers receiving 7.9k citations

David Zipser's Hit Papers

A Learning Algorithm for Continually Running Fully Recurrent Neural Networks 1989 · 2.8k citations
2.8k0+20+40Years since publication50010001.5k2.0k2.5k

Peers

David Zipser
Comparison fields: 5 of 191
  • Cognitive Neuroscience 2.3k
  • Artificial Intelligence 3.4k
  • Signal Processing 737
  • Computer Vision and Pattern Recognition 889
  • Control and Systems Engineering 762
Replace Gail A. Carpenter with:
Gail A. Carpenter United States
Hiroaki Kitano Japan
Robert A. Jacobs United States
Fuhui Long United States
Shin Ishii Japan
James A. Anderson United States
Jeffrey D. Johnson United States
Tom Heskes Netherlands
John B. Thomas United States
Graeme Mitchison United Kingdom
David Zipser relative to Gail A. Carpenter United States Gail A. Carpenter's profile →
Citations per field
00.5×1.6×
Gail A. Carpenter · 1×
Citations per year

Countries citing papers authored by David Zipser

Since Specialization
Citations

This map shows the geographic impact of David Zipser'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 Zipser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Zipser more than expected).

Fields of papers citing papers by David Zipser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Zipser. 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 Zipser. The network helps show where David Zipser may publish in the future.

Co-authors

The 25 scholars most cited alongside David Zipser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Zipser Line = papers co-authored together David Zipser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
Hit paper breakdown →
19892814
2
A back-propagation programmed network that simulates response properties of a subset of posterior parietal neurons
Hit paper breakdown →
1988842
3
Feature Discovery by Competitive Learning*
Hit paper breakdown →
1985696
4
Feature discovery by competitive learning
Hit paper breakdown →
1985628
5
Gradient-based learning algorithms for recurrent networks and their computational complexity
1995251
6
Nonsense mutants and polarity in the Lac operon of Escherichia coli
Hit paper breakdown →
1965233
7 1993193
8 1989190
9 1978183
10 1988181
11 1988150
12 1973136
13 1972134
14 1978116
15 196382
16 198578
17 199876
18 197975
19 198571
20 198170

About David Zipser

David Zipser is a scholar working on Molecular Biology, Cognitive Neuroscience, Genetics, Artificial Intelligence and Ecology, having authored 73 papers that have together received 8.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (15 papers), Neural dynamics and brain function (15 papers), Neural Networks and Applications (14 papers), Bacterial Genetics and Biotechnology (14 papers), Bacteriophages and microbial interactions (13 papers), Biochemical and Molecular Research (8 papers), Enzyme Structure and Function (8 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Cognitive Neuroscience (2.3k citations), Artificial Intelligence (3.4k citations), Signal Processing (737 citations), Computer Vision and Pattern Recognition (889 citations) and Control and Systems Engineering (762 citations). David Zipser has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Ronald J. Williams, David E. Rumelhart, Richard A. Andersen, Ahmad I. Bukhari, Susan Gottesman, Jeffrey L. Elman, Sydney Brenner, Jonathan Beckwith, Elizabeth B. Torres and Regine Kahmann. Their work appears in journals such as Journal of Molecular Biology, Nature, Journal of Bacteriology, Behavioral Neuroscience and Neural Computation.

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.

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