Toru EGUCHI

1.2k citations
99 papers · 911 · h-index 14

Impact in

Papers in

Toru EGUCHI

81 papers receiving 832 citations

Peers

Toru EGUCHI
Comparison fields: 5 of 128
  • Periodontics 98
  • Building and Construction 121
  • Control and Systems Engineering 206
  • Artificial Intelligence 239
  • Industrial and Manufacturing Engineering 71
Replace Muhammad Khan Asif with:
Muhammad Khan Asif Pakistan
Muhammad Farhan Khan Pakistan
Yulin Liu China
Hanaa Salem Marie Egypt
Mohammed Joda Usman Saudi Arabia
Eduardo Felipe Zambom Santana Brazil
Adrian Gligor Romania
Jan T. Lundgren Sweden
Yun Chen China
Geraldo Bráz Brazil
Toru EGUCHI relative to Muhammad Khan Asif Pakistan Muhammad Khan Asif's profile →
Citations per field
00.5×5×10×15×18×
Muhammad Khan Asif · 1×
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 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006157
2 2008138
3
WHAT IS THE MEANING OF ADAPTABILITY IN THE BUILDING INDUSTRY
201049
4 200241
5 201634
6 200032
7 199231
8 200530
9 201925
10 202024
11 198818
12 201817
13 200716
14 201714
15 201614
16 201114
17 200813
18 200612
19 199511
20 200210

About Toru EGUCHI

Toru EGUCHI is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Periodontics, Building and Construction and Nature and Landscape Conservation, having authored 99 papers that have together received 911 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (22 papers), Advanced Manufacturing and Logistics Optimization (17 papers), Elevator Systems and Control (10 papers), Traffic control and management (9 papers), Metaheuristic Optimization Algorithms Research (8 papers), Oral microbiology and periodontitis research (8 papers), Urban and spatial planning (6 papers) and Assembly Line Balancing Optimization (5 papers). The work is most often cited by research in Periodontics (98 citations), Building and Construction (121 citations), Control and Systems Engineering (206 citations), Artificial Intelligence (239 citations) and Industrial and Manufacturing Engineering (71 citations). Toru EGUCHI has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Kotaro Hirasawa, Jinglu Hu, Sandor Markon, Jinglu Hu, Yu Lu, Masafumi Hashimoto, Alistair Gibb, Fumiyasu Oba, Takeshi MURAYAMA and Hirohisa Suido. Their work appears in journals such as Supportive Care in Cancer, Journal of Advanced Mechanical Design Systems and Manufacturing, Surgery Today, World Journal of Surgery and Oral Diseases.

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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