Christian Tomm

1.2k citations
5 papers · 798 indexed · 1 hit paper · h-index 4
Topics
Neural dynamics and brain function (4 papers)Photoreceptor and optogenetics research (3 papers)Advanced Memory and Neural Computing (2 papers)

In The Last Decade

Christian Tomm

5 papers receiving 792 citations

Hit Papers

The Excitatory Neuronal Network of the C2 Barrel Column i...20092026201420202009200400600

Peers

Christian Tomm
Comparison fields: 5 of 49
  • Cognitive Neuroscience 713
  • Cellular and Molecular Neuroscience 631
  • Electrical and Electronic Engineering 176
  • Statistical and Nonlinear Physics 64
  • Molecular Biology 54
Replace Alessandro Vato with:
Alessandro Vato Italy
Michael Avermann Switzerland
Stephan Lawrence Marguet United States
Sami El‐Boustani France
M. Florencia Iacaruso United Kingdom
Dylan R. Muir Switzerland
Tatjana Tchumatchenko Germany
Athanasia Papoutsi Greece
Jens Kremkow Germany
Irina Erchova United Kingdom
Christian Tomm relative to Alessandro Vato Italy Alessandro Vato's profile →
Citations per field
00.5×1.5×
Alessandro Vato · 1×
Citations per year

Countries citing papers authored by Christian Tomm

Since Specialization
Citations

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

Fields of papers citing papers by Christian Tomm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Tomm

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Tomm. A scholar is included among the top collaborators of Christian Tomm 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 Christian Tomm. Christian Tomm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Christian Tomm

Christian Tomm is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Automotive Engineering, having authored 5 papers that have together received 798 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (3 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Cognitive Neuroscience (713 citations), Cellular and Molecular Neuroscience (631 citations) and Statistical and Nonlinear Physics (64 citations). Christian Tomm has collaborated with scholars based in Switzerland, United Kingdom and China. Frequent co-authors include Carl C.H. Petersen, J.‐C. Floyd Sarria, Sandrine Lefort, Wulfram Gerstner, Michael Avermann, Céline Matéo, Tim P. Vogels, Fei Han, Weiwen Deng and Ying Wang. Their work appears in journals such as Neuron, Journal of Neurophysiology and BMC Neuroscience.

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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