Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Adsorption equilibrium modeling and solution chemistry dependence of fluoride removal from water by trivalent-cation-exchanged zeolite F-9
2004558 citationsMaurice S. Onyango, Yoshihiro Kojima et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Hitoki Matsuda
Since
Specialization
Citations
This map shows the geographic impact of Hitoki Matsuda'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 Hitoki Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoki Matsuda more than expected).
This network shows the impact of papers produced by Hitoki Matsuda. 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 Hitoki Matsuda. The network helps show where Hitoki Matsuda may publish in the future.
Co-authorship network of co-authors of Hitoki Matsuda
This figure shows the co-authorship network connecting the top 25 collaborators of Hitoki Matsuda.
A scholar is included among the top collaborators of Hitoki Matsuda 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 Hitoki Matsuda. Hitoki Matsuda is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kuchař, Dalibor, et al.. (2010). Selective Sulfidation of Copper, Zinc and Nickel in Plating Wastewater using Calcium Sulfide. 2(8). 170–174.9 indexed citations
6.
Kubota, Mitsuhiro, et al.. (2008). Relation between Crystallite Growth and Pore Formation of Calcium Hydroxide during Slaking of Quicklime. 15(337). 351–356.1 indexed citations
Kuchař, Dalibor, et al.. (2004). Sulfidation Treatment of Dissolvable Heavy Metals in Municipal Incineration Fly Ash. 2004. 863–863.1 indexed citations
13.
Onyango, Maurice S., Yoshihiro Kojima, & Hitoki Matsuda. (2004). Equilibrium and Kinetic Modeling of Fluoride Sorption onto Aluminum- and Lanthanum-Loaded Zeolite. 2004. 994–994.1 indexed citations
14.
Yamazaki, Masanori, et al.. (2004). Evaluation of Fundamental Characteristics of D-Threitol as Phase Change Material at High Temperature. 2004. 535–535.1 indexed citations
15.
Matsuda, Hitoki, et al.. (2004). Effect of Ultraviolet Irradiation Pretreatment on the Removal of Saccharin by Activated Carbon Adsorption. 2004. 1000–1000.2 indexed citations
16.
Kojima, Yoshihiro, et al.. (2004). Latent Heat Storage Characteristics of Erythritol-Magnesium Chloride Hexahydrate Mixtures. 2004. 536–536.1 indexed citations
17.
NAKAYAMA, Katsuya, et al.. (2004). Separation Characteristics of Heavy Metals from Molten Fly Ash by Chloride-Induced Volatilization. 2004. 864–864.1 indexed citations
18.
Onyango, Maurice S., Yoshihiro Kojima, Hitoki Matsuda, & Aoyi Ochieng. (2003). Principles of Adsorption and Adsorption Processes. JOURNAL OF CHEMICAL ENGINEERING OF JAPAN. 36(12). 1516–1522.2 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.