Fabian Tschopp

410 total citations
3 papers, 130 citations indexed

About

Fabian Tschopp is a scholar working on Structural Biology, Biophysics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fabian Tschopp has authored 3 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Structural Biology, 2 papers in Biophysics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Fabian Tschopp's work include Advanced Electron Microscopy Techniques and Applications (2 papers), Neural dynamics and brain function (1 paper) and Machine Learning in Materials Science (1 paper). Fabian Tschopp is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (2 papers), Neural dynamics and brain function (1 paper) and Machine Learning in Materials Science (1 paper). Fabian Tschopp collaborates with scholars based in United States, Switzerland and Canada. Fabian Tschopp's co-authors include Srinivas C. Turaga, Arlo Sheridan, Chandan Singh, Stephan Saalfeld, Jan Funke, Aljoscha Nern, Eyal Gruntman, Kazunori Shinomiya, Mason McGill and Shin-ya Takemura and has published in prestigious journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and arXiv (Cornell University).

In The Last Decade

Fabian Tschopp

3 papers receiving 129 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fabian Tschopp United States 3 50 40 26 20 20 3 130
Matthew Madany United States 3 71 1.4× 14 0.3× 31 1.2× 5 0.3× 15 0.8× 4 150
Dean M. Kleissas United States 6 43 0.9× 11 0.3× 22 0.8× 33 1.6× 10 0.5× 10 105
Nils Eckstein United States 3 61 1.2× 10 0.3× 37 1.4× 16 0.8× 10 0.5× 3 206
Anne Jorstad Switzerland 9 58 1.2× 36 0.9× 24 0.9× 51 2.5× 9 0.5× 12 238
Benedikt Staffler Germany 4 81 1.6× 21 0.5× 57 2.2× 91 4.5× 17 0.8× 4 243
Erin E. Diel United States 3 76 1.5× 8 0.2× 12 0.5× 14 0.7× 12 0.6× 3 167
Amelio Vázquez-Reina United States 8 189 3.8× 118 3.0× 83 3.2× 52 2.6× 20 1.0× 12 308
Alyssa M. Wilson United States 7 33 0.7× 8 0.2× 29 1.1× 11 0.6× 4 0.2× 10 136
Philipp Hanslovsky Germany 3 102 2.0× 52 1.3× 11 0.4× 8 0.4× 18 0.9× 3 196
Fan Xu China 9 142 2.8× 15 0.4× 65 2.5× 12 0.6× 7 0.3× 30 287

Countries citing papers authored by Fabian Tschopp

Since Specialization
Citations

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

Fields of papers citing papers by Fabian Tschopp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian Tschopp

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

All Works

3 of 3 papers shown
1.
Tschopp, Fabian, Mason McGill, Aljoscha Nern, et al.. (2024). Connectome-constrained networks predict neural activity across the fly visual system. Nature. 634(8036). 1132–1140. 24 indexed citations
2.
Funke, Jan, Fabian Tschopp, Arlo Sheridan, et al.. (2018). Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(7). 1669–1680. 96 indexed citations
3.
Funke, Jan, Fabian Tschopp, Arlo Sheridan, et al.. (2017). A Deep Structured Learning Approach Towards Automating Connectome Reconstruction from 3D Electron Micrographs.. arXiv (Cornell University). 10 indexed citations

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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