Mahdi Tabassian

37 total papers · 643 total citations
20 papers, 230 citations indexed

About

Mahdi Tabassian is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mahdi Tabassian has authored 20 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mahdi Tabassian's work include Cardiovascular Function and Risk Factors (8 papers), Cardiac Imaging and Diagnostics (7 papers) and Industrial Vision Systems and Defect Detection (4 papers). Mahdi Tabassian is often cited by papers focused on Cardiovascular Function and Risk Factors (8 papers), Cardiac Imaging and Diagnostics (7 papers) and Industrial Vision Systems and Defect Detection (4 papers). Mahdi Tabassian collaborates with scholars based in Belgium, Iran and Italy. Mahdi Tabassian's co-authors include Reza Ghaderi, Reza Ebrahimpour, Jan D’hooge, Tamás Erdei, Alan G. Fraser, Anna Degiovanni, Paolo Marino, Sergio Sanchez‐Martinez, Luca De Marchi and G. Masetti and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Knowledge-Based Systems.

In The Last Decade

Mahdi Tabassian

18 papers receiving 224 citations

Author Peers

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

Author Last Decade Papers Cites
Mahdi Tabassian 101 75 42 35 26 20 230
Dong Zhang 53 0.5× 82 1.1× 66 1.6× 156 4.5× 57 2.2× 32 329
Michel Salomon 29 0.3× 76 1.0× 61 1.5× 56 1.6× 45 1.7× 40 299
Wenming He 22 0.2× 34 0.5× 160 3.8× 35 1.0× 27 1.0× 16 273
Sang Hoon Woo 40 0.4× 24 0.3× 24 0.6× 19 0.5× 6 0.2× 17 176
Yingying Zhang 21 0.2× 47 0.6× 149 3.5× 55 1.6× 10 0.4× 18 293
N. Santhiyakumari 65 0.6× 58 0.8× 41 1.0× 106 3.0× 44 1.7× 38 273
Qing Cao 50 0.5× 116 1.5× 41 1.0× 105 3.0× 66 2.5× 22 305
Sakyajit Bhattacharya 71 0.7× 23 0.3× 107 2.5× 16 0.5× 66 2.5× 25 283
Jachih Fu 23 0.2× 96 1.3× 103 2.5× 154 4.4× 40 1.5× 24 321
Abdulkader Helwan 14 0.1× 92 1.2× 130 3.1× 56 1.6× 38 1.5× 22 323

Countries citing papers authored by Mahdi Tabassian

Since Specialization
Citations

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

Fields of papers citing papers by Mahdi Tabassian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahdi Tabassian

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