Morteza Ashraphijuo

27 total papers · 401 total citations
20 papers, 264 citations indexed

About

Morteza Ashraphijuo is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Computational Mathematics. According to data from OpenAlex, Morteza Ashraphijuo has authored 20 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computational Mechanics, 7 papers in Computer Vision and Pattern Recognition and 7 papers in Computational Mathematics. Recurrent topics in Morteza Ashraphijuo's work include Sparse and Compressive Sensing Techniques (14 papers), Tensor decomposition and applications (7 papers) and Optimal Power Flow Distribution (5 papers). Morteza Ashraphijuo is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Tensor decomposition and applications (7 papers) and Optimal Power Flow Distribution (5 papers). Morteza Ashraphijuo collaborates with scholars based in United States. Morteza Ashraphijuo's co-authors include Javad Lavaei, Ramtin Madani, Xiaodong Wang, Vaneet Aggarwal, Alper Atamtürk and Ross Baldick and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Power Systems and IEEE Transactions on Signal Processing.

In The Last Decade

Morteza Ashraphijuo

20 papers receiving 251 citations

Author Peers

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

Author Last Decade Papers Cites
Morteza Ashraphijuo 156 81 61 57 49 20 264
Guohui Song 86 0.6× 116 1.4× 42 0.7× 72 1.3× 5 0.1× 23 269
Xinyi Xu 32 0.2× 21 0.3× 20 0.3× 71 1.2× 3 0.1× 17 173
Christian Moya 51 0.3× 37 0.5× 57 0.9× 13 0.2× 23 207
Yanjun Li 25 0.2× 106 1.3× 11 0.2× 69 1.2× 5 0.1× 19 294
Damien Scieur 105 0.7× 26 0.3× 45 0.7× 6 0.1× 2 0.0× 11 179
Cédric Josz 191 1.2× 30 0.4× 71 1.2× 5 0.1× 24 276
Marc Castella 33 0.2× 48 0.6× 20 0.3× 40 0.7× 8 0.2× 23 199
Wenlin Wang 18 0.1× 19 0.2× 20 0.3× 69 1.2× 45 0.9× 20 243
Seungil You 88 0.6× 14 0.2× 96 1.6× 18 0.3× 24 198
Tuhin Sahai 35 0.2× 14 0.2× 47 0.8× 15 0.3× 2 0.0× 25 224

Countries citing papers authored by Morteza Ashraphijuo

Since Specialization
Citations

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

Fields of papers citing papers by Morteza Ashraphijuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morteza Ashraphijuo

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