Kenichi Ida

958 citations
55 papers · 787 · h-index 16

Impact in

Papers in

Kenichi Ida

51 papers receiving 723 citations

Peers

Kenichi Ida
Comparison fields: 5 of 67
  • Industrial and Manufacturing Engineering 280
  • Statistics and Probability 177
  • Management Science and Operations Research 269
  • Software 67
  • Control and Systems Engineering 338
Replace Joel A. Nachlas with:
Joel A. Nachlas United States
Wen Lea Pearn Taiwan
Ranjan Kumar India
C.H. Lie South Korea
Najmeh Alikar Malaysia
Mohamed Sallak France
Kiyoji Asai Japan
Μ. Sakawa Japan
Wen‐Chiung Lee Taiwan
R.S. Lashkari Canada
Kenichi Ida relative to Joel A. Nachlas United States Joel A. Nachlas's profile →
Citations per field
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Joel A. Nachlas · 1×
Citations per year

Countries citing papers authored by Kenichi Ida

Since Specialization
Citations

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

Fields of papers citing papers by Kenichi Ida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Kenichi Ida, 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 Kenichi Ida Line = papers co-authored together Kenichi Ida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005130
2 199756
3 199555
4 199351
5 199740
6 199737
7 199533
8 199533
9 199028
10 199827
11 200024
12 199623
13
Interval Programming Using Genetic Algorithms
199620
14 199620
15 199019
16 201117
17 199615
18 199715
19 201110
20 20009

About Kenichi Ida

Kenichi Ida is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research, Control and Systems Engineering, Statistics and Probability and Computational Theory and Mathematics, having authored 55 papers that have together received 787 indexed citations. Recurring topics across this work include Optimization and Mathematical Programming (25 papers), Multi-Criteria Decision Making (18 papers), Advanced Manufacturing and Logistics Optimization (13 papers), Scheduling and Optimization Algorithms (12 papers), Metaheuristic Optimization Algorithms Research (11 papers), Fuzzy Systems and Optimization (8 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Optimization and Packing Problems (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (280 citations), Statistics and Probability (177 citations), Management Science and Operations Research (269 citations), Software (67 citations) and Control and Systems Engineering (338 citations). Kenichi Ida has collaborated with scholars based in Japan, South Korea and China. Frequent co-authors include Mitsuo Gen, Yinzhen Li, Takao Yokota, Yasuhiro Tsujimura, Chang-Eun Kim, Masato Sasaki, Jong Ryul Kim, Yinzhen Li, Baoding Liu and Runwei Cheng. Their work appears in journals such as Computers & Industrial Engineering, European Journal of Operational Research, Electrical Engineering in Japan, Lecture notes in computer science and IEEJ Transactions on Electronics Information and Systems.

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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