Takashi Imamichi

2.1k citations
28 papers · 441 indexed · h-index 11

Takashi Imamichi

28 papers receiving 423 citations

Peers

Takashi Imamichi
Comparison fields: 5 of 60
  • Computer Graphics and Computer-Aided Design 114
  • Industrial and Manufacturing Engineering 204
  • Transportation 28
  • Artificial Intelligence 129
  • Hardware and Architecture 25
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Kuan-Yu Fu United States
Johannes Terno Germany
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Shyh-Chang Lin Taiwan
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Citations per year

Countries citing papers authored by Takashi Imamichi

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Imamichi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Takashi Imamichi, 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 Takashi Imamichi Line = papers co-authored together Takashi Imamichi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20249
2 201929
3 201926
4
Truncating shortest path search for efficient map-matching
20164
5 201322
6 20132
7 201220
8 20111
9 20111
10 200966
11 20092
12 20092
13 20099
14
Removing Overlaps in Label Layouts Using Multi-sphere Scheme ?
20081
15 20084
16 200889
17 20072
18
5B1 A GUIDED LOCAL SEARCH ALGORITHM BASED ON A FAST NEIGHBORHOOD SEARCH FOR THE IRREGULAR STRIP PACKING PROBLEM(Technical session 5B: Packing problem)
20062
19
5B2 AN ITERATED LOCAL SEARCH ALGORITHM BASED ON NONLINEAR PROGRAMMING FOR THE IRREGULAR STRIP PACKING PROBLEM(Technical session 5B: Packing problem)
20061
20 19904

About Takashi Imamichi

Takashi Imamichi is a scholar working on Computer Graphics and Computer-Aided Design, Industrial and Manufacturing Engineering and Transportation, having authored 28 papers that have together received 441 indexed citations. Recurring topics across this work include Optimization and Packing Problems (8 papers), Advanced Manufacturing and Logistics Optimization (6 papers), Computational Geometry and Mesh Generation (6 papers), Fiber-reinforced polymer composites (4 papers), Quantum Computing Algorithms and Architecture (4 papers), Mechanical Behavior of Composites (3 papers), Quantum Information and Cryptography (3 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (114 citations), Industrial and Manufacturing Engineering (204 citations) and Transportation (28 citations). Takashi Imamichi has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Hiroshi Nagamochi, Mutsunori Yagiura, Rudy Raymond, Koji Nonobe, Toshinari Itoko, Atsushi Matsuo, Tsuyoshi Idé, Toyotaro Suzumura, Toshihide Ibaraki and Takayuki Osogami. Their work appears in journals such as European Journal of Operational Research, Computers & Operations Research and IBM Journal of Research and Development.

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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2026