Nicholas Cain

4.7k total citations
15 papers, 590 citations indexed

About

Nicholas Cain is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Nicholas Cain has authored 15 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Nicholas Cain's work include Neural dynamics and brain function (9 papers), Neural Networks and Applications (4 papers) and Neuroscience and Neural Engineering (4 papers). Nicholas Cain is often cited by papers focused on Neural dynamics and brain function (9 papers), Neural Networks and Applications (4 papers) and Neuroscience and Neural Engineering (4 papers). Nicholas Cain collaborates with scholars based in United States, Norway and Canada. Nicholas Cain's co-authors include Hal T. Nelson, Ştefan Mihalaş, Christof Koch, Ramakrishnan Iyer, Eric Shea‐Brown, Óscar Miranda-Domínguez, Benjamin R. Jarrett, John Denis Fryer, Brian D. Mills and Garet P. Lahvis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Nicholas Cain

15 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Cain United States 12 375 154 122 86 74 15 590
Thomas Petermann Switzerland 11 854 2.3× 283 1.8× 145 1.2× 31 0.4× 30 0.4× 17 1.1k
Karen E. Joyce United States 7 387 1.0× 41 0.3× 17 0.1× 43 0.5× 108 1.5× 8 745
Laurence Aitchison United Kingdom 12 490 1.3× 110 0.7× 65 0.5× 27 0.3× 9 0.1× 23 715
Marijn van Vliet Finland 9 420 1.1× 148 1.0× 67 0.5× 20 0.2× 12 0.2× 30 545
David C. Tam United States 11 195 0.5× 89 0.6× 37 0.3× 41 0.5× 37 0.5× 50 359
Laura Driscoll United States 7 341 0.9× 206 1.3× 46 0.4× 14 0.2× 4 0.1× 7 457
Christopher Allen United Kingdom 11 221 0.6× 57 0.4× 16 0.1× 31 0.4× 31 0.4× 26 692
Joachim Werner Germany 11 191 0.5× 15 0.1× 11 0.1× 43 0.5× 29 0.4× 55 469
Noam Peled United States 13 314 0.8× 131 0.9× 32 0.3× 19 0.2× 63 0.9× 27 549
Honghui Zhang China 15 637 1.7× 309 2.0× 56 0.5× 8 0.1× 22 0.3× 51 844

Countries citing papers authored by Nicholas Cain

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Cain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Cain

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

All Works

15 of 15 papers shown
1.
Dai, Kael, Sergey L. Gratiy, Yazan N. Billeh, et al.. (2020). Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits. PLoS Computational Biology. 16(11). e1008386–e1008386. 31 indexed citations
2.
Teeter, Corinne, Ramakrishnan Iyer, Vilas Menon, et al.. (2018). Generalized leaky integrate-and-fire models classify multiple neuron types. Nature Communications. 9(1). 709–709. 129 indexed citations
3.
Gratiy, Sergey L., Yazan N. Billeh, Kael Dai, et al.. (2018). BioNet: A Python interface to NEURON for modeling large-scale networks. PLoS ONE. 13(8). e0201630–e0201630. 34 indexed citations
4.
Hu, Yu, Steven L. Brunton, Nicholas Cain, et al.. (2018). Feedback through graph motifs relates structure and function in complex networks. Physical review. E. 98(6). 15 indexed citations
5.
Nelson, Hal T., Brian N. Swanson, & Nicholas Cain. (2017). Close and Connected: The Effects of Proximity and Social Ties on Citizen Opposition to Electricity Transmission Lines. Environment and Behavior. 50(5). 567–596. 16 indexed citations
6.
Cain, Nicholas, et al.. (2017). Who governs or how they govern: Testing the impact of democracy, ideology and globalization on the well being of the poor. The Social Science Journal. 54(3). 271–286. 11 indexed citations
7.
Cain, Nicholas, Ramakrishnan Iyer, Christof Koch, & Ştefan Mihalaş. (2016). The Computational Properties of a Simplified Cortical Column Model. PLoS Computational Biology. 12(9). e1005045–e1005045. 27 indexed citations
8.
Cain, Nicholas, Ram Iyer, Christof Koch, & Ştefan Mihalaş. (2014). The computational properties of a simplified cortical column model. BMC Neuroscience. 15(S1). 1 indexed citations
9.
Cain, Nicholas. (2014). A Different Path: The Global Water Crisis and Rainwater Harvesting. Columbia Academic Commons (Columbia University). 147–157. 15 indexed citations
10.
Stafford, James M., Benjamin R. Jarrett, Óscar Miranda-Domínguez, et al.. (2014). Large-scale topology and the default mode network in the mouse connectome. Proceedings of the National Academy of Sciences. 111(52). 18745–18750. 177 indexed citations
11.
Cain, Nicholas, et al.. (2013). Neural integrators for decision making: a favorable tradeoff between robustness and sensitivity. Journal of Neurophysiology. 109(10). 2542–2559. 19 indexed citations
12.
Cain, Nicholas & Hal T. Nelson. (2013). What drives opposition to high-voltage transmission lines?. Land Use Policy. 33. 204–213. 83 indexed citations
13.
Cain, Nicholas & Eric Shea‐Brown. (2012). Computational models of decision making: integration, stability, and noise. Current Opinion in Neurobiology. 22(6). 1047–1053. 13 indexed citations
14.
Cain, Nicholas & Eric Shea‐Brown. (2012). Impact of Correlated Neural Activity on Decision-Making Performance. Neural Computation. 25(2). 289–327. 6 indexed citations
15.
Brown, Gardner, Trista Patterson, & Nicholas Cain. (2010). The devil in the details: Non-convexities in ecosystem service provision. Resource and Energy Economics. 33(2). 355–365. 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.

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