S. Amari

31 total papers · 1.2k total citations
28 papers, 718 citations indexed

About

S. Amari is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, S. Amari has authored 28 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Signal Processing, 11 papers in Artificial Intelligence and 6 papers in Computational Mechanics. Recurrent topics in S. Amari's work include Blind Source Separation Techniques (19 papers), Neural Networks and Applications (11 papers) and Neural dynamics and brain function (5 papers). S. Amari is often cited by papers focused on Blind Source Separation Techniques (19 papers), Neural Networks and Applications (11 papers) and Neural dynamics and brain function (5 papers). S. Amari collaborates with scholars based in Japan, United States and India. S. Amari's co-authors include S.C. Douglas, Andrzej Cichocki, Naotsugu Tsuchiya, Masafumi Oizumi, Shuyu Kong, Sergio Cruces, Noboru Murata, Animesh Sharma, Kripamoy Aguan and Nikhil R. Pal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Trends in Cognitive Sciences.

In The Last Decade

S. Amari

28 papers receiving 682 citations

Author Peers

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

Author						Papers	Cites
S. Amari	367	237	143	141	96	28	718
Sergio Cruces	520 1.4×	148 0.6×	207 1.4×	162 1.1×	161 1.7×	45	858
Athanasios P. Liavas	374 1.0×	102 0.4×	254 1.8×	90 0.6×	21 0.2×	40	845
Jian Yang	334 0.9×	304 1.3×	176 1.2×	32 0.2×	49 0.5×	49	867
V.C. Soon	695 1.9×	127 0.5×	152 1.1×	96 0.7×	231 2.4×	19	869
Romis Attux	232 0.6×	270 1.1×	50 0.3×	284 2.0×	36 0.4×	104	885
Haipeng Shen	144 0.4×	144 0.6×	184 1.3×	40 0.3×	103 1.1×	23	764
L.K. Saul	240 0.7×	501 2.1×	65 0.5×	34 0.2×	20 0.2×	16	901
A. Navia-Vázquez	315 0.9×	313 1.3×	191 1.3×	107 0.8×	14 0.1×	38	771
Jérémie Bigot	73 0.2×	95 0.4×	123 0.9×	43 0.3×	52 0.5×	41	725
Xiao‐Feng Gong	410 1.1×	85 0.4×	116 0.8×	155 1.1×	20 0.2×	61	739

Countries citing papers authored by S. Amari

Since Specialization

Citations

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

Fields of papers citing papers by S. Amari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Amari

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