Kohei Nakajima

3.4k citations
127 papers · 2.2k indexed · h-index 25
Topics
Neural Networks and Reservoir Computing (66 papers)Advanced Memory and Neural Computing (47 papers)Neural dynamics and brain function (31 papers)
Partner nations
JapanSwitzerlandItaly

In The Last Decade

Kohei Nakajima

118 papers receiving 2.1k citations

Peers

Kohei Nakajima
Comparison fields: 5 of 107
  • Artificial Intelligence 1.4k
  • Electrical and Electronic Engineering 1.1k
  • Cognitive Neuroscience 551
  • Biomedical Engineering 484
  • Mechanical Engineering 203
Replace Chiara Bartolozzi with:
Chiara Bartolozzi Italy
Paolo Arena Italy
Peng Yao China
D. Verstraeten Belgium
Arindam Basu Singapore
Priyadarshini Panda United States
Mable P. Fok United States
Mohammed E. Fouda United States
Bipin Rajendran United States
P. Hasler United States
Kohei Nakajima relative to Chiara Bartolozzi Italy Chiara Bartolozzi's profile →
Citations per field
00.5×2.6×
Chiara Bartolozzi · 1×
Citations per year

Countries citing papers authored by Kohei Nakajima

Since Specialization
Citations

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

Fields of papers citing papers by Kohei Nakajima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohei Nakajima

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 1
3 6
4 0
5 3
6 1
7 0
8 0
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15 9
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19 31
20
The Memory Capacity of a Physical Liquid State Machine
4

About Kohei Nakajima

Kohei Nakajima is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Statistical and Nonlinear Physics, having authored 127 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (66 papers), Advanced Memory and Neural Computing (47 papers) and Neural dynamics and brain function (31 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Cognitive Neuroscience (551 citations) and Electrical and Electronic Engineering (1.1k citations). Kohei Nakajima has collaborated with scholars based in Japan, Switzerland and Italy. Frequent co-authors include Rolf Pfeifer, Helmut Häuser, Yasuo Kuniyoshi, Sumito Tsunegi, Tao Li, Tomohiro Taniguchi, Hitoshi Kubota, Shinji Miwa, Darwin G. Caldwell and Emanuele Guglielmino. Their work appears in journals such as Physical Review Letters, Advanced Materials and Nature Communications.

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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