Srinivas C. Turaga

7.9k citations
25 papers · 2.4k indexed · 1 hit paper · h-index 16
Topics
Neural dynamics and brain function (8 papers)Cell Image Analysis Techniques (7 papers)Advanced Fluorescence Microscopy Techniques (6 papers)

In The Last Decade

Srinivas C. Turaga

24 papers receiving 2.4k citations

Hit Papers

Connectomic reconstruction of the inner plexiform layer i...20132026201720212013200400600

Peers

Srinivas C. Turaga
Comparison fields: 5 of 150
  • Molecular Biology 856
  • Biophysics 760
  • Cellular and Molecular Neuroscience 668
  • Cognitive Neuroscience 549
  • Structural Biology 312
Replace Wei-Chung Allen Lee with:
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Kevin L. Briggman Germany
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Citations per field
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Citations per year

Countries citing papers authored by Srinivas C. Turaga

Since Specialization
Citations

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

Fields of papers citing papers by Srinivas C. Turaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Srinivas C. Turaga. 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 Srinivas C. Turaga. The network helps show where Srinivas C. Turaga may publish in the future.

Co-authorship network of co-authors of Srinivas C. Turaga

This figure shows the co-authorship network connecting the top 25 collaborators of Srinivas C. Turaga. A scholar is included among the top collaborators of Srinivas C. Turaga 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 Srinivas C. Turaga. Srinivas C. Turaga 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
#WorkIndexed citations
1 5
2 24
3 1
4 17
5 75
6 152
7 111
8 19
9 312
10 96
11
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
6
12
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit
9
13
A Deep Structured Learning Approach Towards Automating Connectome Reconstruction from 3D Electron Micrographs.
10
14 215
15 303
16
Connectomic reconstruction of the inner plexiform layer in the mouse retinabreakdown →
664
17
Learning to Agglomerate Superpixel Hierarchies
36
18 95
19
Maximin affinity learning of image segmentation
37
20 146

About Srinivas C. Turaga

Srinivas C. Turaga is a scholar working on Structural Biology, Biophysics and Aging, having authored 25 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Cell Image Analysis Techniques (7 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). The work is most often cited by research in Structural Biology (312 citations), Biophysics (760 citations) and Cellular and Molecular Neuroscience (668 citations). Srinivas C. Turaga has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include H. Sebastian Seung, Viren Jain, Winfried Denk, Kevin L. Briggman, Moritz Helmstaedter, Kristin Branson, Löıc A. Royer, Katie McDole, Grégoire Malandain and Fernando Amat. Their work appears in journals such as Nature, Science and Cell.

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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