Kael Dai

1.6k total citations
9 papers, 271 citations indexed

About

Kael Dai is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Kael Dai has authored 9 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Kael Dai's work include Neural dynamics and brain function (7 papers), Advanced Memory and Neural Computing (4 papers) and Functional Brain Connectivity Studies (3 papers). Kael Dai is often cited by papers focused on Neural dynamics and brain function (7 papers), Advanced Memory and Neural Computing (4 papers) and Functional Brain Connectivity Studies (3 papers). Kael Dai collaborates with scholars based in United States, United Kingdom and Switzerland. Kael Dai's co-authors include Anton Arkhipov, Yazan N. Billeh, Sergey L. Gratiy, Christof Koch, Nathan W. Gouwens, Ştefan Mihalaş, Binghuang Cai, Shawn R. Olsen, Joshua H. Siegle and Reza Abbasi-Asl and has published in prestigious journals such as Neuron, PLoS ONE and eLife.

In The Last Decade

Kael Dai

8 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kael Dai United States 7 229 121 73 30 29 9 271
Ted Carnevale United States 5 130 0.6× 80 0.7× 40 0.5× 34 1.1× 25 0.9× 7 196
Ivan Raikov United States 6 223 1.0× 174 1.4× 42 0.6× 35 1.2× 21 0.7× 21 288
Etay Hay Canada 8 332 1.4× 249 2.1× 75 1.0× 58 1.9× 30 1.0× 15 391
Julian M. L. Budd United Kingdom 9 326 1.4× 184 1.5× 33 0.5× 35 1.2× 30 1.0× 11 372
Sandrine Chemla France 6 202 0.9× 150 1.2× 36 0.5× 21 0.7× 18 0.6× 13 258
Corinne Teeter United States 4 117 0.5× 73 0.6× 71 1.0× 14 0.5× 20 0.7× 11 191
Matteo Cantarelli United Kingdom 4 116 0.5× 77 0.6× 34 0.5× 30 1.0× 33 1.1× 11 234
Werner Van Geit Switzerland 11 287 1.3× 197 1.6× 98 1.3× 38 1.3× 29 1.0× 20 371
Ján Antolík France 7 370 1.6× 276 2.3× 60 0.8× 80 2.7× 22 0.8× 17 436
Bóris Marin United Kingdom 5 91 0.4× 60 0.5× 33 0.5× 31 1.0× 56 1.9× 19 178

Countries citing papers authored by Kael Dai

Since Specialization
Citations

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

Fields of papers citing papers by Kael Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kael Dai

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

All Works

9 of 9 papers shown
1.
2.
Stasik, A., Espen Hagen, Yazan N. Billeh, et al.. (2023). Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex. eLife. 12. 15 indexed citations
3.
Dai, Kael, Juan Hernando, Yazan N. Billeh, et al.. (2020). The SONATA data format for efficient description of large-scale network models. PLoS Computational Biology. 16(2). e1007696–e1007696. 29 indexed citations
4.
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
5.
Billeh, Yazan N., Binghuang Cai, Sergey L. Gratiy, et al.. (2020). Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex. Neuron. 106(3). 388–403.e18. 144 indexed citations
6.
Dai, Kael, Juan Hernando, Yazan N. Billeh, et al.. (2019). The SONATA Data Format for Efficient Description of Large-Scale Network Models. SSRN Electronic Journal. 6 indexed citations
7.
Billeh, Yazan N., Binghuang Cai, Sergey L. Gratiy, et al.. (2019). Systematic Integration of Structural and Functional Data into Multi-Scale Models of Mouse Primary Visual Cortex. SSRN Electronic Journal. 3 indexed citations
8.
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
9.

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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