Keigo Kobayashi

2.7k total citations
67 papers, 706 citations indexed

About

Keigo Kobayashi is a scholar working on Pulmonary and Respiratory Medicine, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Keigo Kobayashi has authored 67 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 15 papers in Control and Systems Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Keigo Kobayashi's work include Lung Cancer Treatments and Mutations (20 papers), Control and Dynamics of Mobile Robots (14 papers) and Robotic Path Planning Algorithms (14 papers). Keigo Kobayashi is often cited by papers focused on Lung Cancer Treatments and Mutations (20 papers), Control and Dynamics of Mobile Robots (14 papers) and Robotic Path Planning Algorithms (14 papers). Keigo Kobayashi collaborates with scholars based in Japan, United States and Spain. Keigo Kobayashi's co-authors include Takehito Kikuchi, T. Yoshikawa, Tsuneo Yoshikawa, Jun‐ichi Imura, Kenzo Soejima, Ichiro Kawada, Hiroyuki Yasuda, Katsuhiko Naoki, Tadashi Manabe and Keita Masuzawa and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Keigo Kobayashi

62 papers receiving 689 citations

Peers

Keigo Kobayashi
Comparison fields: 5 of 109
  • Pulmonary and Respiratory Medicine 190
  • Control and Systems Engineering 175
  • Oncology 169
  • Molecular Biology 98
  • Biomedical Engineering 98
Replace Kunio Kojima with:
Kunio Kojima Japan
Weihui Liu China
Zhiyuan Gao China
Mingjian Sun China
Juhun Lee United States
Yu-Jen Chen Taiwan
Stefan M�ller Germany
Jun Zou United States
Guoqing Gu China
Yuji Kubota Japan
Kunio Kojima Japan View profile →
Citations per field, relative to Keigo Kobayashi
Keigo Kobayashi · 1×
Citations per year, relative to Keigo Kobayashi
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Countries citing papers authored by Keigo Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Keigo Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keigo Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Keigo Kobayashi. A scholar is included among the top collaborators of Keigo Kobayashi 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 Keigo Kobayashi. Keigo Kobayashi 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 0
2 1
3 7
4 5
5 13
6 39
7 10
8 3
9 1
10 8
11 45
12 2
13 1
14 24
15 5
16 0
17
Applications of Discrete Event and Hybrid Systems in Humanoid Robots
2
18 0
19 2
20 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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