Henry Markram

1.9k citations
9 papers · 690 · h-index 7

Impact in

Papers in

Henry Markram

8 papers receiving 674 citations

Peers

Henry Markram
Comparison fields: 5 of 80
  • Cognitive Neuroscience 451
  • Cellular and Molecular Neuroscience 401
  • Developmental Neuroscience 30
  • Statistical and Nonlinear Physics 71
  • Neurology 34
Replace Athanasia Papoutsi with:
Athanasia Papoutsi Greece
Albert Gidon Germany
Sami El‐Boustani France
Klaus M. Stiefel United States
Timothy A. Zolnik Germany
Diek W. Wheeler United States
Michael Graupner France
Samuel A. Neymotin United States
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Dylan R. Muir Switzerland
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Countries citing papers authored by Henry Markram

Since Specialization
Citations

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

Fields of papers citing papers by Henry Markram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Henry Markram, 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 Henry Markram Line = papers co-authored together Henry Markram links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2000262
2 1990124
3 2003101
4 201191
5
The "Liquid Computer": A Novel Strategy for Real-Time Computing on Time Series
200276
6 201229
7 20146
8
Dynamical principles for neuroscience and intelligent biomimetic devices
20061
9 20250

About Henry Markram

Henry Markram is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Artificial Intelligence and Endocrine and Autonomic Systems, having authored 9 papers that have together received 690 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Neuroscience and Neural Engineering (2 papers), History of Medicine Studies (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Genetic Neurodegenerative Diseases (1 paper), Photoreceptor and optogenetics research (1 paper), Olfactory and Sensory Function Studies (1 paper) and Neurology and Historical Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (451 citations), Cellular and Molecular Neuroscience (401 citations), Developmental Neuroscience (30 citations), Statistical and Nonlinear Physics (71 citations) and Neurology (34 citations). Henry Markram has collaborated with scholars based in Switzerland, Germany and Spain. Frequent co-authors include Misha Tsodyks, Menahem Segal, Hannah Monyer, Wolfgang Maass, Thomas Natschläger, Javier DeFelipe, Kathleen S. Rockland, Jean‐Pierre Changeux, Alois Saria and Karlheinz Meier. Their work appears in journals such as Trends in Neurosciences, Frontiers in Neuroanatomy, Proceedings of the National Academy of Sciences, Journal of Neuroscience and Neuroscience Letters.

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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