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.
An Energy Budget for Signaling in the Grey Matter of the Brain
20012.4k citationsSimon B. Laughlin et al.profile →
The metabolic cost of neural information
1998838 citationsSimon B. Laughlin, John C. Anderson et al.profile →
Energy limitation as a selective pressure on the evolution of sensory systems
2008765 citationsJeremy E. Niven, Simon B. Laughlinprofile →
Predictive coding: a fresh view of inhibition in the retina
1982732 citationsMandyam V. Srinivasan, Simon B. Laughlin et al.Proceedings of the Royal Society of London. Series B, Biological sciencesprofile →
A Simple Coding Procedure Enhances a Neuron's Information Capacity
1981678 citationsSimon B. LaughlinZeitschrift für Naturforschung Cprofile →
Communication in Neuronal Networks
2003659 citationsSimon B. Laughlin et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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Countries citing papers authored by Simon B. Laughlin
Since
Specialization
Citations
This map shows the geographic impact of Simon B. Laughlin'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 Simon B. Laughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon B. Laughlin more than expected).
Fields of papers citing papers by Simon B. Laughlin
This network shows the impact of papers produced by Simon B. Laughlin. 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 Simon B. Laughlin. The network helps show where Simon B. Laughlin may publish in the future.
Co-authorship network of co-authors of Simon B. Laughlin
This figure shows the co-authorship network connecting the top 25 collaborators of Simon B. Laughlin.
A scholar is included among the top collaborators of Simon B. Laughlin 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 Simon B. Laughlin. Simon B. Laughlin 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.
Burr, David C. & Simon B. Laughlin. (2020). Horace Barlow (1921–2020). Current Biology. 30(16). R907–R910.1 indexed citations
Baker, Michael S., et al.. (2011). Adaptation reduces sensitivity to save energy without information loss in the fly visual system. Proceedings of The Physiological Society.2 indexed citations
4.
Stemmler, Martin, Biswa Sengupta, Simon B. Laughlin, & Jeremy E. Niven. (2011). Energetically Optimal Action Potentials. Neural Information Processing Systems. 24. 1566–1574.8 indexed citations
Laughlin, Simon B., et al.. (1997). Modelling the variation in the contrast of natural scenes, and the function of contrast normalization in the mammalian visual cortex. 504. 123–124.2 indexed citations
Laughlin, Simon B.. (1989). The reliability of single neurons and circuit design: a case study. Addison-Wesley Longman Publishing Co., Inc. eBooks. 322–336.10 indexed citations
Srinivasan, Mandyam V., Simon B. Laughlin, & Andreas Dubs. (1982). Predictive coding: a fresh view of inhibition in the retina. Proceedings of the Royal Society of London. Series B, Biological sciences. 216(1205). 427–459.732 indexed citations breakdown →
20.
Laughlin, Simon B.. (1981). A Simple Coding Procedure Enhances a Neuron's Information Capacity. Zeitschrift für Naturforschung C. 36(9-10). 910–912.678 indexed citations breakdown →
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.