Nora Brackbill

1.2k total citations
13 papers, 560 citations indexed

About

Nora Brackbill is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Nora Brackbill has authored 13 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 8 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Nora Brackbill's work include Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (8 papers) and Retinal Development and Disorders (5 papers). Nora Brackbill is often cited by papers focused on Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (8 papers) and Retinal Development and Disorders (5 papers). Nora Brackbill collaborates with scholars based in United States, Switzerland and United Kingdom. Nora Brackbill's co-authors include E. J. Chichilnisky, Keisuke Goda, Elodie Sollier, Coleman Murray, Cejo Konuparamban Lonappan, Chao Wang, Bahram Jalali, Ali Ayazi, Soojung Hur and Ali Fard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Nora Brackbill

12 papers receiving 549 citations

Peers

Nora Brackbill
Makito Haruta Japan
Francisca Martínez Traub United States
Christoph J. Engelbrecht Switzerland
Pál Maák Hungary
V. Poher France
Jeffrey Demas United States
Mengran Wang United States
Daniel G. Vercosa United States
Jianglai Wu China
Hiroaki Takehara Japan
Makito Haruta Japan
Nora Brackbill
Citations per year, relative to Nora Brackbill Nora Brackbill (= 1×) peers Makito Haruta

Countries citing papers authored by Nora Brackbill

Since Specialization
Citations

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

Fields of papers citing papers by Nora Brackbill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nora Brackbill

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

All Works

13 of 13 papers shown
1.
Wu, Eric, Martin O. Bohlen, Peter H. Li, et al.. (2025). Decomposition of retinal ganglion cell electrical images for cell type and functional inference. Journal of Neural Engineering. 22(4). 46007–46007.
2.
Wu, Eric, Nora Brackbill, Alexandra Kling, et al.. (2024). Fixational eye movements enhance the precision of visual information transmitted by the primate retina. Nature Communications. 15(1). 7964–7964. 5 indexed citations
3.
Shah, Nishal P., Georges Goetz, Sasidhar Madugula, et al.. (2023). Inferring light responses of primate retinal ganglion cells using intrinsic electrical signatures. Journal of Neural Engineering. 20(4). 45001–45001. 5 indexed citations
4.
Kim, Young Joon, Nora Brackbill, Jin-Hyung Lee, et al.. (2021). Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings. Neural Computation. 33(7). 1719–1750. 15 indexed citations
5.
Shah, Nishal P., Nora Brackbill, Alexandra Kling, et al.. (2021). Individual variability of neural computations in the primate retina. Neuron. 110(4). 698–708.e5. 5 indexed citations
6.
Obaid, Abdulmalik, Mina-Elraheb Hanna, Yu‐Wei Wu, et al.. (2020). Massively parallel microwire arrays integrated with CMOS chips for neural recording. Science Advances. 6(12). eaay2789–eaay2789. 133 indexed citations
7.
Shah, Nishal P., Nora Brackbill, Alexandra Kling, et al.. (2020). Inference of nonlinear receptive field subunits with spike-triggered clustering. eLife. 9. 20 indexed citations
8.
Brackbill, Nora, Alexandra Kling, Nishal P. Shah, et al.. (2020). Reconstruction of natural images from responses of primate retinal ganglion cells. eLife. 9. 28 indexed citations
9.
Shah, Nishal P., Michael B. Manookin, Nora Brackbill, et al.. (2019). Unusual Physiological Properties of Smooth Monostratified Ganglion Cell Types in Primate Retina. Neuron. 103(4). 658–672.e6. 32 indexed citations
10.
Merel, Josh, Nora Brackbill, Alexander Sher, et al.. (2017). Multilayer Recurrent Network Models of Primate Retinal Ganglion Cell Responses. International Conference on Learning Representations. 26 indexed citations
11.
Shah, Nishal P., Nora Brackbill, Georges Goetz, et al.. (2016). Novel Model-based identification of retinal ganglion cell subunits. Investigative Ophthalmology & Visual Science. 57(12). 1 indexed citations
12.
Ayazi, Ali, Keisuke Goda, Cejo Konuparamban Lonappan, et al.. (2013). Real-time image processor for detection of rare cells and particles in flow at 37 MHz line scans per second. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8587. 858713–858713. 3 indexed citations
13.
Goda, Keisuke, Ali Ayazi, Daniel R. Gossett, et al.. (2012). High-throughput single-microparticle imaging flow analyzer. Proceedings of the National Academy of Sciences. 109(29). 11630–11635. 287 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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