Toru EGUCHI

1.2k citations
91 papers · 848 · h-index 14

Impact in

Papers in

Toru EGUCHI

73 papers receiving 775 citations

Peers

Toru EGUCHI
Comparison fields: 5 of 130
  • Periodontics 102
  • Building and Construction 121
  • Control and Systems Engineering 199
  • Artificial Intelligence 229
  • Otorhinolaryngology 29
Replace Chenxia Jin with:
Chenxia Jin China
Srinivas India
Xiaozhe Wang China
Muhammad Asif Pakistan
Eduardo Felipe Zambom Santana Brazil
Vijay Chandru India
Muhammad Farhan Khan Pakistan
Yulin Liu China
Mohammed Usman Saudi Arabia
Nida Aslam Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Toru EGUCHI

Since Specialization
Citations

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

Fields of papers citing papers by Toru EGUCHI

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Toru EGUCHI, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Toru EGUCHI Line = papers co-authored together Toru EGUCHI links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006153
2 2008139
3
WHAT IS THE MEANING OF ADAPTABILITY IN THE BUILDING INDUSTRY
201048
4 200236
5 201633
6 199231
7 200030
8 200527
9 201923
10 202020
11 198818
12 200716
13 201714
14 201813
15 201113
16 200813
17 200612
18 201612
19 199511
20 200211

About Toru EGUCHI

Toru EGUCHI is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Surgery, Artificial Intelligence and Periodontics, having authored 91 papers that have together received 848 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (19 papers), Advanced Manufacturing and Logistics Optimization (14 papers), Elevator Systems and Control (9 papers), Traffic control and management (9 papers), Oral microbiology and periodontitis research (9 papers), Metaheuristic Optimization Algorithms Research (8 papers), Urban and spatial planning (6 papers) and Salivary Gland Disorders and Functions (6 papers). The work is most often cited by research in Periodontics (102 citations), Building and Construction (121 citations), Control and Systems Engineering (199 citations), Artificial Intelligence (229 citations) and Otorhinolaryngology (29 citations). Toru EGUCHI has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kotaro Hirasawa, Jinglu Hu, Sandor Markon, Zhou Jin, Jinglu Hu, Yu Lu, Alistair Gibb, Masafumi Hashimoto, Fumiyasu Oba and Takeshi MURAYAMA. Their work appears in journals such as Surgery Today, Supportive Care in Cancer, Journal of Advanced Mechanical Design Systems and Manufacturing, Frontiers in Immunology and SAE technical papers on CD-ROM/SAE technical paper series.

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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