Special Matrices

215 papers and 655 indexed citations i.

About

The 215 papers published in Special Matrices in the last decades have received a total of 655 indexed citations. Papers published in Special Matrices usually cover Computational Theory and Mathematics (142 papers), Geometry and Topology (97 papers) and Electrical and Electronic Engineering (65 papers) specifically the topics of Matrix Theory and Algorithms (104 papers), Graph theory and applications (66 papers) and graph theory and CDMA systems (63 papers). The most active scholars publishing in Special Matrices are Mircea Merca, Paul Terwilliger, Kazumasa Nomura, Jeffrey J. Hunter, K. Manjunatha Prasad, Luis Verde‐Star, Yongge Tian, Sever S Dragomir, Fuzhen Zhang and Shmuel Friedland.

In The Last Decade

Fields of papers published in Special Matrices

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Special Matrices. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Special Matrices.

Countries where authors publish in Special Matrices

Since Specialization
Citations

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

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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