Henry Markram

38.9k citations
173 papers · 24.2k indexed · 12 hit papers · h-index 62

Henry Markram

170 papers receiving 23.6k citations

Hit Papers

Caries Detection w...196199620262006201650010001.5k2.0k2.5k

Peers

Henry Markram
Comparison fields: 5 of 195
  • Cognitive Neuroscience 16.6k
  • Cellular and Molecular Neuroscience 14.4k
  • Neurology 1.4k
  • Developmental Neuroscience 709
  • Biophysics 774
Replace David W. Tank with:
David W. Tank United States
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Wolf Singer Germany
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Citations per field
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David W. Tank · 1×
Citations per year

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-authorship network

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

20 of 20 papers shown
#Work
1 20251
2 20243
3 20241
4 20231
5 20225
6 202241
7 202135
8 20215
9 202017
10 201924
11 200845
12 2006122
13 2005146
14 200483
15 2004351
16 2002128
17
A Model for Real-Time Computation in Generic Neural Microcircuits
200256
18
On the Computational Power of Recurrent Circuits of Spiking Neurons
20029
19 199914
20
The neural code between neocortical pyramidal neurons depends on neurotransmitter release probabilitybreakdown →
19971166

About Henry Markram

Henry Markram is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics, having authored 173 papers that have together received 24.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (111 papers), Neuroscience and Neuropharmacology Research (78 papers), Neuroscience and Neural Engineering (48 papers), Advanced Memory and Neural Computing (23 papers), Cell Image Analysis Techniques (23 papers), Photoreceptor and optogenetics research (20 papers), Memory and Neural Mechanisms (19 papers) and Functional Brain Connectivity Studies (13 papers). The work is most often cited by research in Cognitive Neuroscience (16.6k citations), Cellular and Molecular Neuroscience (14.4k citations) and Neurology (1.4k citations). Henry Markram has collaborated with scholars based in Switzerland, Israel and United States. Frequent co-authors include Misha Tsodyks, Bert Sakmann, Yun Wang, Wolfgang Maass, Gilad Silberberg, Joachim Lübke, Michael Frotscher, Thomas Natschläger, Anirudh Gupta and Maria Toledo‐Rodriguez. Their work appears in journals such as The Journal of Physiology, Proceedings of the National Academy of Sciences, PLoS Computational Biology, Cerebral Cortex and Frontiers in Neuroanatomy.

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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