Rina Hayashi

467 total citations
30 papers, 343 citations indexed

About

Rina Hayashi is a scholar working on Automotive Engineering, Social Psychology and Control and Systems Engineering. According to data from OpenAlex, Rina Hayashi has authored 30 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Automotive Engineering, 4 papers in Social Psychology and 4 papers in Control and Systems Engineering. Recurrent topics in Rina Hayashi's work include Spatial Cognition and Navigation (3 papers), Robotics and Automated Systems (3 papers) and T-cell and B-cell Immunology (3 papers). Rina Hayashi is often cited by papers focused on Spatial Cognition and Navigation (3 papers), Robotics and Automated Systems (3 papers) and T-cell and B-cell Immunology (3 papers). Rina Hayashi collaborates with scholars based in Japan, Sweden and Switzerland. Rina Hayashi's co-authors include Kenji Okonogi, Toshiyuki Yamazaki, Yuji Iizawa, Akira Imada, T Iwahi, Keiko Uchimura, Masaki Makino, Mitsuyasu Itoh, Akio Nagasaka and Shōhei Kato and has published in prestigious journals such as Genes & Development, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Rina Hayashi

28 papers receiving 320 citations

Peers

Rina Hayashi
Comparison fields: 5 of 107
  • Endocrinology, Diabetes and Metabolism 94
  • Organic Chemistry 81
  • Molecular Biology 56
  • Physiology 44
  • Surgery 28
Replace Min Liang with:
Min Liang China
Dorota Kostrzewa‐Nowak Poland
Giorgia Cioccoloni Italy
Xiao Hong United States
Sojung Kim United States
Na Young Lee South Korea
Séverine Bieuvelet France
Jennifer L Graef United States
Alzenira F. Costa Spain
Woong Choi South Korea
Min Liang China View profile →
Citations per field, relative to Rina Hayashi
Rina Hayashi · 1×
Citations per year, relative to Rina Hayashi
Rina Hayashi · 1×

Countries citing papers authored by Rina Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Rina Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rina Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Rina Hayashi. A scholar is included among the top collaborators of Rina Hayashi 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 Rina Hayashi. Rina Hayashi 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
# Work Indexed citations
1 1
2 9
3 7
4 1
5 3
6 2
7 2
8 1
9 3
10
Path Planning Based on Support Vector Machine for Autonomous Vehicle Part 2
1
11 0
12
Simulation of a dynamic multilayer optimization algorithm with SRLG consideration
4
13 24
14 59
15 14
16 35
17 19
18 14
19 16
20
[An experimental study on pyogenic osteomyelitis with special reference to the analysis of the therapeutic effects of antibiotics in vivo (author's transl)].
1

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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