Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A million spiking-neuron integrated circuit with a scalable communication network and interface
20142.8k citationsPaul Merolla, John V. Arthur et al.Scienceprofile →
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
20151.1k citationsFilipp Akopyan, Jun Sawada et al.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systemsprofile →
A Low Power, Fully Event-Based Gesture Recognition System
2017559 citationsArnon Amir, Brian Taba et al.profile →
Convolutional networks for fast, energy-efficient neuromorphic computing
2016482 citationsSteven K. Esser, Paul Merolla et al.Proceedings of the National Academy of Sciencesprofile →
Event-Based Vision: A Survey
2020417 citationsGuillermo Gallego, Tobi Delbrück et al.Zurich Open Repository and Archive (University of Zurich)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Brian Taba'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 Brian Taba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Taba more than expected).
This network shows the impact of papers produced by Brian Taba. 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 Brian Taba. The network helps show where Brian Taba may publish in the future.
Co-authorship network of co-authors of Brian Taba
This figure shows the co-authorship network connecting the top 25 collaborators of Brian Taba.
A scholar is included among the top collaborators of Brian Taba 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 Brian Taba. Brian Taba is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
8 of 8 papers shown
1.
Gallego, Guillermo, Tobi Delbrück, Garrick Orchard, et al.. (2020). Event-Based Vision: A Survey. Zurich Open Repository and Archive (University of Zurich).417 indexed citations breakdown →
2.
Amir, Arnon, Brian Taba, David Van Den Berg, et al.. (2017). A Low Power, Fully Event-Based Gesture Recognition System. 7388–7397.559 indexed citations breakdown →
3.
Esser, Steven K., Paul Merolla, John V. Arthur, et al.. (2016). Convolutional networks for fast, energy-efficient neuromorphic computing. Proceedings of the National Academy of Sciences. 113(41). 11441–11446.482 indexed citations breakdown →
4.
Akopyan, Filipp, Jun Sawada, Andrew S. Cassidy, et al.. (2015). TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 34(10). 1537–1557.1064 indexed citations breakdown →
5.
Andreopoulos, Alexander, Brian Taba, Andrew S. Cassidy, et al.. (2015). Visual saliency on networks of neurosynaptic cores. IBM Journal of Research and Development. 59(2/3). 9:1–9:16.12 indexed citations
6.
Merolla, Paul, John V. Arthur, Rodrigo Alvarez-Icaza, et al.. (2014). A million spiking-neuron integrated circuit with a scalable communication network and interface. Science. 345(6197). 668–673.2780 indexed citations breakdown →
7.
Taba, Brian & Kwabena Boahen. (2005). Silicon growth cones map silicon retina. Neural Information Processing Systems. 18. 1329–1336.8 indexed citations
8.
Taba, Brian & Kwabena Boahen. (2002). Topographic Map Formation by Silicon Growth Cones. ScholarlyCommons (University of Pennsylvania). 15. 1163–1170.13 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.