Morteza Rezanejad

63 total papers · 1.2k total citations
20 papers, 124 citations indexed

About

Morteza Rezanejad is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Oncology. According to data from OpenAlex, Morteza Rezanejad has authored 20 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Cognitive Neuroscience and 3 papers in Oncology. Recurrent topics in Morteza Rezanejad's work include Visual perception and processing mechanisms (5 papers), Visual Attention and Saliency Detection (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Morteza Rezanejad is often cited by papers focused on Visual perception and processing mechanisms (5 papers), Visual Attention and Saliency Detection (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Morteza Rezanejad collaborates with scholars based in Canada, United States and India. Morteza Rezanejad's co-authors include Dirk B. Walther, Kaleem Siddiqi, Allan Jepson, John Wilder, Sven Dickinson, Delaram Farzanfar, Logan A. Walsh, Philippe Joubert, Andréanne Gagné and Azadeh Arabzadeh and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Morteza Rezanejad

17 papers receiving 120 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 Rezanejad 39 37 27 27 19 20 124
Yusuke Fujiwara 80 2.1× 26 0.7× 22 0.8× 7 0.3× 63 3.3× 28 226
Zhihong Chen 22 0.6× 43 1.2× 25 0.9× 4 0.1× 24 1.3× 32 232
Zhe Su 10 0.3× 20 0.5× 15 0.6× 7 0.3× 71 3.7× 33 234
Jérémie Clos 22 0.6× 30 0.8× 6 0.2× 2 0.1× 14 0.7× 27 219
Ariana Familiar 38 1.0× 15 0.4× 12 0.4× 4 0.1× 13 0.7× 22 146
Satwant Kumar 63 1.6× 12 0.3× 26 1.0× 2 0.1× 10 0.5× 12 147
Xiang‐He Meng 19 0.5× 15 0.4× 34 1.3× 6 0.2× 57 3.0× 18 209
Daniel Weber 15 0.4× 18 0.5× 79 2.9× 22 0.8× 76 4.0× 27 240
Hamid Behravan 8 0.2× 59 1.6× 19 0.7× 3 0.1× 38 2.0× 17 290
Julia Sidorova 22 0.6× 8 0.2× 5 0.2× 17 0.6× 46 2.4× 29 190

Countries citing papers authored by Morteza Rezanejad

Since Specialization
Citations

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

Fields of papers citing papers by Morteza Rezanejad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morteza Rezanejad

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