Kengo Katayama

1.0k total citations
42 papers, 444 citations indexed

About

Kengo Katayama is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Kengo Katayama has authored 42 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 16 papers in Industrial and Manufacturing Engineering. Recurrent topics in Kengo Katayama's work include Metaheuristic Optimization Algorithms Research (20 papers), Advanced Multi-Objective Optimization Algorithms (13 papers) and Vehicle Routing Optimization Methods (13 papers). Kengo Katayama is often cited by papers focused on Metaheuristic Optimization Algorithms Research (20 papers), Advanced Multi-Objective Optimization Algorithms (13 papers) and Vehicle Routing Optimization Methods (13 papers). Kengo Katayama collaborates with scholars based in Japan, China and Germany. Kengo Katayama's co-authors include Hiroyuki Narihisa, Peter Merz, Tomohiro Taniguchi, Masao OHTA, Tetsuya Oda, Guo‐qing Zheng, Hiroshi Yamashita, Hiroaki Kawanishi, Elis Kulla and S. Kawasaki and has published in prestigious journals such as Physical Review B, European Journal of Operational Research and Mathematical and Computer Modelling.

In The Last Decade

Kengo Katayama

37 papers receiving 418 citations

Peers

Kengo Katayama
Comparison fields: 5 of 69
  • Artificial Intelligence 232
  • Computational Theory and Mathematics 155
  • Industrial and Manufacturing Engineering 146
  • Computer Networks and Communications 125
  • Electrical and Electronic Engineering 54
Replace Illya V. Hicks with:
Illya V. Hicks United States
Leonidas Pitsoulis Greece
Xiangjing Lai China
Donald K. Wagner United States
Ehl Emile Aarts Netherlands
Ismail Ali Australia
M. Gorges-Schleuter Germany
Franco Mascia Italy
Nelson Maculan Brazil
Daniel E. Steffy United States
Illya V. Hicks United States View profile →
Citations per field, relative to Kengo Katayama
Kengo Katayama · 1×
Citations per year, relative to Kengo Katayama
Kengo Katayama · 1×

Countries citing papers authored by Kengo Katayama

Since Specialization
Citations

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

Fields of papers citing papers by Kengo Katayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kengo Katayama

This figure shows the co-authorship network connecting the top 25 collaborators of Kengo Katayama. A scholar is included among the top collaborators of Kengo Katayama 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 Kengo Katayama. Kengo Katayama 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
# Work Indexed citations
1 0
2 1
3 1
4 0
5
An improved noisy gradient descent bit-flipping decoding algorithm for LDPC codes
1
6 7
7 11
8 3
9 4
10 53
11 58
12 7
13 8
14
A Variant k-opt Local Search Heuristic for Binary Quadratic Programming
5
15
Solving large binary quadratic programming problems by effective genetic local search algorithm
26
16 58
17 32
18 18
19
Performance Analysis of a New Genetic Crossover for the Traveling Salesman Problem(Special Section on Discrete Mathematics and Its Applications)
10
20
A Study on Parallel Hybrid Genetic Algorithms for the Traveling Salesman Problem
1

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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