Akira Mita

3.2k citations
228 papers · 2.5k indexed · h-index 26
Topics
Structural Health Monitoring Techniques (77 papers)Seismic Performance and Analysis (26 papers)Infrastructure Maintenance and Monitoring (21 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaThe Journal of Immunology
Partner nations
JapanUnited StatesIndia

In The Last Decade

Akira Mita

215 papers receiving 2.4k citations

Peers

Akira Mita
Comparison fields: 5 of 143
  • Civil and Structural Engineering 1.1k
  • Molecular Biology 518
  • Oncology 475
  • Pulmonary and Respiratory Medicine 243
  • Mechanics of Materials 242
Replace Haijun Zhou with:
Haijun Zhou China
Woo Seok Kim South Korea
Alessandro Beghini Italy
Toshiyuki Sawa Japan
Chun-Yi Lin Taiwan
Ping Zhu China
Junjiang Liu China
Fang‐Ming Deng United States
Eric P. Sandgren United States
Paul F. Davis New Zealand
Akira Mita relative to Haijun Zhou China Haijun Zhou's profile →
Citations per field
00.5×3.6×
Haijun Zhou · 1×
Citations per year

Countries citing papers authored by Akira Mita

Since Specialization
Citations

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

Fields of papers citing papers by Akira Mita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Mita

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Mita. A scholar is included among the top collaborators of Akira Mita 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 Akira Mita. Akira Mita 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
1 1
2 11
3 1
4 1
5 2
6 1
7 4
8 2
9 73
10
Hybrid immune algorithm for structural health monitoring using acceleration data
2
11 3
12 1
13 4
14 1
15 1
16 2
17 1
18 1
19 1
20
Enhancement and suppression in production of IgM-antibody in mice treated with purified saponins.
17

About Akira Mita

Akira Mita is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Physical Therapy, Sports Therapy and Rehabilitation, having authored 228 papers that have together received 2.5k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (77 papers), Seismic Performance and Analysis (26 papers) and Infrastructure Maintenance and Monitoring (21 papers). The work is most often cited by research in Civil and Structural Engineering (1.1k citations), Oncology (475 citations) and Mechanics of Materials (242 citations). Akira Mita has collaborated with scholars based in Japan, United States and India. Frequent co-authors include J. Enrique Luco, Maria Q. Feng, Haitao Zheng, Jun‐ichi Mashimo, Kiyoshi Nose, Motoko Shibanuma, Toshio Kuroki, Masakazu Fukushima, James L. Abbruzzese and Chunfeng Wan. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Immunology.

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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