T. Ino

79 total papers · 3.6k total citations
14 papers, 154 citations indexed

About

T. Ino is a scholar working on Organic Chemistry, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, T. Ino has authored 14 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Organic Chemistry, 4 papers in Mechanical Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in T. Ino's work include Surfactants and Colloidal Systems (4 papers), Process Optimization and Integration (3 papers) and Catalysis and Hydrodesulfurization Studies (2 papers). T. Ino is often cited by papers focused on Surfactants and Colloidal Systems (4 papers), Process Optimization and Integration (3 papers) and Catalysis and Hydrodesulfurization Studies (2 papers). T. Ino collaborates with scholars based in Japan, Saudi Arabia and United States. T. Ino's co-authors include Ikuo Matsubara, S. Al‐Khattaf, Kenjiro Meguro, Abdullah A. Shaikh, Eid M. Al‐Mutairi, Abdullah Aitani, Eiichi Kikuchi, Tamotsu Kondo, Yoshiro Morita and Osamu Yoda and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Applied Catalysis A General and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

T. Ino

14 papers receiving 142 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
T. Ino	46	41	40	33	30	14	154
Herman Mark	64 1.4×	20 0.5×	68 1.7×	34 1.0×	10 0.3×	26	169
Peter G. Pape	54 1.2×	27 0.7×	74 1.9×	53 1.6×	13 0.4×	12	215
Dallas T. Hurd	47 1.0×	14 0.3×	107 2.7×	110 3.3×	43 1.4×	11	236
José Roberto Hernández-Barajas	24 0.5×	15 0.4×	75 1.9×	35 1.1×	4 0.1×	17	175
Kyoko Yamamoto	9 0.2×	34 0.8×	31 0.8×	27 0.8×	20 0.7×	16	162
Ana H. Delgado	45 1.0×	31 0.8×	21 0.5×	65 2.0×	7 0.2×	14	232
Kannan Ganesh	164 3.6×	24 0.6×	110 2.8×	102 3.1×	10 0.3×	16	291
He‐Yang Liu	28 0.6×	88 2.1×	44 1.1×	33 1.0×	16 0.5×	19	281
Antonio Casale	167 3.6×	42 1.0×	27 0.7×	50 1.5×	8 0.3×	14	278
Xuedong Ma	24 0.5×	38 0.9×	53 1.3×	94 2.8×	29 1.0×	14	258

Countries citing papers authored by T. Ino

Since Specialization

Citations

This map shows the geographic impact of T. Ino'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 T. Ino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Ino more than expected).

Fields of papers citing papers by T. Ino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Ino

This figure shows the co-authorship network connecting the top 25 collaborators of T. Ino. A scholar is included among the top collaborators of T. Ino 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 T. Ino. T. Ino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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