Koichi Maekawa

8.7k total citations · 1 hit paper
337 papers, 6.7k citations indexed

About

Koichi Maekawa is a scholar working on Civil and Structural Engineering, Building and Construction and Mechanics of Materials. According to data from OpenAlex, Koichi Maekawa has authored 337 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 267 papers in Civil and Structural Engineering, 143 papers in Building and Construction and 29 papers in Mechanics of Materials. Recurrent topics in Koichi Maekawa's work include Structural Behavior of Reinforced Concrete (122 papers), Concrete Corrosion and Durability (89 papers) and Concrete and Cement Materials Research (80 papers). Koichi Maekawa is often cited by papers focused on Structural Behavior of Reinforced Concrete (122 papers), Concrete Corrosion and Durability (89 papers) and Concrete and Cement Materials Research (80 papers). Koichi Maekawa collaborates with scholars based in Japan, China and United States. Koichi Maekawa's co-authors include Tetsuya Ishida, Toshiharu Kishi, Rajesh P. Dhakal, Fuyuan Gong, Xuehui An, Masoud Soltani, Yuya Takahashi, Xuehui An, Chikako Fujiyama and Yasushi Tanaka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Econometrica and Diabetes Care.

In The Last Decade

Koichi Maekawa

313 papers receiving 6.1k citations

Hit Papers

Multi-Scale and Multi-Chemo-Physics Lifecycle Evaluation ... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Koichi Maekawa Japan 40 5.4k 2.5k 647 469 430 337 6.7k
Rishi Gupta Canada 32 2.6k 0.5× 1.4k 0.5× 273 0.4× 193 0.4× 36 0.1× 141 3.9k
Xiaowei Wang China 34 2.0k 0.4× 465 0.2× 76 0.1× 148 0.3× 231 0.5× 125 4.9k
Giuseppe Andrea Ferro Italy 32 2.1k 0.4× 840 0.3× 532 0.8× 674 1.4× 63 0.1× 166 3.5k
Xiaoming Huang China 45 4.4k 0.8× 501 0.2× 615 1.0× 541 1.2× 31 0.1× 299 5.8k
Xiaofeng Wang China 32 845 0.2× 159 0.1× 320 0.5× 132 0.3× 218 0.5× 190 3.4k
Alessandro Palermo New Zealand 39 3.9k 0.7× 2.4k 1.0× 255 0.4× 64 0.1× 83 0.2× 200 5.0k
Zhiyong Liu China 34 2.1k 0.4× 807 0.3× 548 0.8× 285 0.6× 54 0.1× 172 3.4k
Jingjing Xiao China 31 1.2k 0.2× 106 0.0× 332 0.5× 77 0.2× 81 0.2× 209 3.7k
Qingfu Li China 25 1.7k 0.3× 866 0.3× 334 0.5× 119 0.3× 22 0.1× 152 2.6k

Countries citing papers authored by Koichi Maekawa

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Maekawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Maekawa

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Maekawa. A scholar is included among the top collaborators of Koichi Maekawa 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 Koichi Maekawa. Koichi Maekawa 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
1.
Fujiyama, Chikako, et al.. (2025). A shear failure analysis of ultra‐high‐performance concrete based on modified contact density and concrete damaged plasticity models. Structural Concrete. 26(4). 5249–5265. 1 indexed citations
2.
Wang, Shiqi, Fuyuan Gong, Zhao Wang, et al.. (2025). Experiment and multi-field simulation on the current efficiency during accelerated corrosion. Journal of Building Engineering. 116. 114564–114564.
3.
Ohno, Motohiro & Koichi Maekawa. (2025). Fully coupled physicochemical-mechanical modeling of sulfate attack-induced expansion in cement-based materials. Cement and Concrete Composites. 161. 106076–106076. 4 indexed citations
4.
Wang, Jixin, Fuyuan Gong, He Zhang, et al.. (2025). Quantification of retarded progressive frost deterioration by reinforcing bars in structural concrete. Structures. 78. 109309–109309.
5.
Fujiyama, Chikako, et al.. (2025). Shear transfer model for ultra‐high‐performance concrete incorporating fiber bridging mechanism. Structural Concrete. 26(5). 5999–6018. 2 indexed citations
6.
Wang, Zhao, Koichi Maekawa, & Fuyuan Gong. (2023). Space Averaging of Electric Field accompanying Corrosion of Reinforcement and its Verification by Pseudo-Concrete. Journal of Advanced Concrete Technology. 21(1). 25–41. 6 indexed citations
7.
Wang, Zhao, Fuyuan Gong, & Koichi Maekawa. (2023). Multi-Scale and Multi-Chemo-Physics Lifecycle Evaluation of Structural Concrete under Environmental and Mechanical Impacts. SHILAP Revista de lepidopterología. 1(1). 1–18. 90 indexed citations breakdown →
8.
Wang, Zhao, Fuyuan Gong, Yuxi Zhao, et al.. (2022). Spatial characteristics of stray current corrosion of reinforcing bars in pseudo concrete. Structural Concrete. 24(1). 374–388. 7 indexed citations
9.
Gong, Fuyuan, et al.. (2021). Numerical analysis of high and low‐cycle flexural fatigue for reinforced concrete beams under full‐range of varying amplitudes. Structural Concrete. 22(4). 2167–2183. 16 indexed citations
10.
Tanaka, Yasushi, Yuya Takahashi, & Koichi Maekawa. (2016). Crack-gel interaction on the static and fatigue failure of ASR-damaged RC slabs. 2 indexed citations
11.
Fujita, Kohei, Yutaka Ito, Toyohiro Hirai, et al.. (2014). Association between Polyclonal and Mixed Mycobacterial Mycobacterium avium Complex Infection and Environmental Exposure. Annals of the American Thoracic Society. 11(1). 45–53. 28 indexed citations
12.
Chijiwa, Nobuhiro, et al.. (2011). EFFECT OF STRENGTHENING AT EXPECTED DAMAGING ZONE OF A RC MEMBER WITH DAMAGED ANCHORAGE. Journal of Japan Society of Civil Engineers Ser E2 (Materials and Concrete Structures). 67(2). 160–165. 1 indexed citations
13.
Lee, Sangyeol, et al.. (2006). Test for Parameter Change in ARIMA Models. Communications in Statistics - Simulation and Computation. 35(2). 429–439. 8 indexed citations
14.
Maekawa, Koichi, et al.. (2004). 2065 SHEAR CAPACITY OF DAMAGED RC BEAM WITH PARTIAL LONGITUDINAL CRACKS IN SPACE. 26(2). 385–390. 5 indexed citations
15.
Maekawa, Koichi, et al.. (2004). The Cusum Test for Parameter Change in Regression with ARCH Errors. RePEc: Research Papers in Economics. 3 indexed citations
16.
Ishida, Tetsuya, et al.. (2000). 2111 A Unified Solidification Model of Hardening Concrete Composite at an Early Age. 22(2). 661–666. 3 indexed citations
17.
Maekawa, Koichi, et al.. (2000). THREE-DIMENSIONAL NONLINEAR FEM ANALYSIS OF HOLLOW BRIDGE PIERS CONSIDERING SPALLING OF CONCRETE COVER AND BUCKLING OF REINFORCING BARS. 21. 255–262. 5 indexed citations
18.
Salem, Hamed & Koichi Maekawa. (1999). 3019 Strain Gradient Effect on Tension Stiffening of Reinforced Concrete. 21(3). 109–114. 1 indexed citations
19.
Maekawa, Koichi, et al.. (1998). Finite sample comparisons of the distributions of the ols and gls estimators in regression with an integrated regsorad correlated errors. Econometric Reviews. 17(4). 387–413. 2 indexed citations
20.
Maekawa, Koichi, et al.. (1983). Flow stress of low carbon steel at high temperature and strain rate. II: Flow stress under variable temperature and variable strain rate. 17(3). 167–172. 43 indexed citations

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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