Brett J. Kagan

880 citations
13 papers · 282 indexed · 1 hit paper · h-index 6
Topics
Neuroscience and Neural Engineering (6 papers)Neural dynamics and brain function (5 papers)Advanced Memory and Neural Computing (4 papers)

In The Last Decade

Brett J. Kagan

12 papers receiving 264 citations

Hit Papers

In vitro neurons learn and exhibit sentience when embodie...2022202620232024202250100150

Peers

Brett J. Kagan
Comparison fields: 5 of 68
  • Cognitive Neuroscience 161
  • Cellular and Molecular Neuroscience 119
  • Molecular Biology 65
  • Electrical and Electronic Engineering 52
  • Biomedical Engineering 44
Replace Forough Habibollahi with:
Forough Habibollahi Australia
Ryoma Hattori United States
Alexander Dieter Germany
Fikret Emre Kapucu Finland
Niansheng Ju China
Jaeeon Lee United States
Daniel J. Denman United States
Luke Campagnola United States
Roland Diggelmann Switzerland
Cole Hurwitz United Kingdom
Brett J. Kagan relative to Forough Habibollahi Australia Forough Habibollahi's profile →
Citations per field
00.5×
Forough Habibollahi · 1×
Citations per year

Countries citing papers authored by Brett J. Kagan

Since Specialization
Citations

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

Fields of papers citing papers by Brett J. Kagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brett J. Kagan. 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 Brett J. Kagan. The network helps show where Brett J. Kagan may publish in the future.

Co-authorship network of co-authors of Brett J. Kagan

This figure shows the co-authorship network connecting the top 25 collaborators of Brett J. Kagan. A scholar is included among the top collaborators of Brett J. Kagan 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 Brett J. Kagan. Brett J. Kagan 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
#WorkIndexed citations
1 0
2 6
3 3
4 7
5 5
6 5
7 32
8 24
9
In vitro neurons learn and exhibit sentience when embodied in a simulated game-worldbreakdown →
181
10 3
11 4
12 7
13 5

About Brett J. Kagan

Brett J. Kagan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 13 papers that have together received 282 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (6 papers), Neural dynamics and brain function (5 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Cognitive Neuroscience (161 citations), Cellular and Molecular Neuroscience (119 citations) and Developmental Neuroscience (11 citations). Brett J. Kagan has collaborated with scholars based in Australia, United Kingdom and Singapore. Frequent co-authors include Forough Habibollahi, Karl Friston, Adeel Razi, Moein Khajehnejad, Bradyn J. Parker, Anjali Bhat, Nhi T. Tran, Ben Rollo, Anthony N. Burkitt and Chris French. Their work appears in journals such as Nature Communications, Neuron and Journal of Neuroscience.

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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