Morteza Shahram

22 total papers · 782 total citations
18 papers, 493 citations indexed

About

Morteza Shahram is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Morteza Shahram has authored 18 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 5 papers in Computational Mechanics. Recurrent topics in Morteza Shahram's work include Blind Source Separation Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Image and Signal Denoising Methods (4 papers). Morteza Shahram is often cited by papers focused on Blind Source Separation Techniques (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Image and Signal Denoising Methods (4 papers). Morteza Shahram collaborates with scholars based in United States, Germany and Iran. Morteza Shahram's co-authors include Peyman Milanfar, David L. Donoho, Arian Maleki, Victoria Stodden, Gitta Kutyniok, Xiaosheng Zhuang, Jongho Lee, John M. Pauly, Armin Schwartzman and K. Nayebi and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Morteza Shahram

17 papers receiving 459 citations

Author Peers

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

Author						Papers	Cites
Morteza Shahram	135	105	73	71	71	18	493
Ken Joy	268 2.0×	27 0.3×	45 0.6×	24 0.3×	164 2.3×	37	524
Peter J. Kostelec	207 1.5×	20 0.2×	42 0.6×	5 0.1×	89 1.3×	13	547
John E. Dorband	75 0.6×	22 0.2×	16 0.2×	67 0.9×	26 0.4×	39	547
Mike Folk	32 0.2×	60 0.6×	21 0.3×	48 0.7×	25 0.4×	20	451
Ahmed R. Fasih	64 0.5×	15 0.1×	11 0.2×	26 0.4×	45 0.6×	7	491
Eric Shaffer	236 1.7×	15 0.1×	35 0.5×	24 0.3×	151 2.1×	18	444
Paul Ivanov	57 0.4×	17 0.2×	10 0.1×	24 0.3×	40 0.6×	7	413
Ayed R. A. Alanzi	139 1.0×	9 0.1×	47 0.6×	15 0.2×	91 1.3×	31	498
Jishang Wei	198 1.5×	13 0.1×	54 0.7×	26 0.4×	17 0.2×	26	435
E. Wes Bethel	207 1.5×	70 0.7×	59 0.8×	42 0.6×	43 0.6×	38	510

Countries citing papers authored by Morteza Shahram

Since Specialization

Citations

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

Fields of papers citing papers by Morteza Shahram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morteza Shahram

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