Koichi Niijima

106 total papers · 525 total citations
61 papers, 310 citations indexed

About

Koichi Niijima is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Koichi Niijima has authored 61 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 14 papers in Computational Mechanics and 12 papers in Signal Processing. Recurrent topics in Koichi Niijima's work include Image and Signal Denoising Methods (15 papers), Computer Graphics and Visualization Techniques (12 papers) and 3D Shape Modeling and Analysis (10 papers). Koichi Niijima is often cited by papers focused on Image and Signal Denoising Methods (15 papers), Computer Graphics and Visualization Techniques (12 papers) and 3D Shape Modeling and Analysis (10 papers). Koichi Niijima collaborates with scholars based in Japan, Saudi Arabia and China. Koichi Niijima's co-authors include Shigeru Takano, Yoshihiro Okada, Y. Okada, Muhammad Hussain, Yoshio Tanaka, Katsunori Miyahara, Nobuhiro Ohta and Naoto Nakamura and has published in prestigious journals such as IEEE Transactions on Signal Processing, Mathematics of Computation and Neural Networks.

In The Last Decade

Koichi Niijima

55 papers receiving 288 citations

Author Peers

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

Author						Papers	Cites
Koichi Niijima	150	90	75	51	51	61	310
Mariantonia Cotronei	174 1.2×	121 1.3×	13 0.2×	22 0.4×	10 0.2×	37	325
Baojiang Zhong	242 1.6×	46 0.5×	19 0.3×	33 0.6×	12 0.2×	62	350
Paul M. Chirlian	123 0.8×	36 0.4×	9 0.1×	18 0.4×	16 0.3×	55	350
Meie Fang	128 0.9×	132 1.5×	30 0.4×	23 0.5×	35 0.7×	53	353
Mohammad Khatim Hasan	25 0.2×	33 0.4×	63 0.8×	41 0.8×	9 0.2×	46	261
Emil Žagar	56 0.4×	283 3.1×	38 0.5×	46 0.9×	65 1.3×	43	329
Abedallah Rababah	44 0.3×	257 2.9×	116 1.5×	53 1.0×	36 0.7×	44	361
R. U. Gobithaasan	49 0.3×	184 2.0×	10 0.1×	55 1.1×	133 2.6×	64	343
Masaru Kamada	124 0.8×	36 0.4×	10 0.1×	12 0.2×	6 0.1×	67	333
Mourad Nachaoui	172 1.1×	64 0.7×	33 0.4×	58 1.1×	2 0.0×	58	344

Countries citing papers authored by Koichi Niijima

Since Specialization

Citations

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

Fields of papers citing papers by Koichi Niijima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Niijima

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Niijima. A scholar is included among the top collaborators of Koichi Niijima 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 Niijima. Koichi Niijima 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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