Morteza Rezanejad

1.2k total citations
20 papers, 131 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 131 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 Aesthetic Perception and Analysis (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 Aesthetic Perception and Analysis (3 papers). Morteza Rezanejad collaborates with scholars based in Canada, United States and Iran. Morteza Rezanejad's co-authors include Dirk B. Walther, Kaleem Siddiqi, John Wilder, Sven Dickinson, Allan Jepson, Delaram Farzanfar, Samuel Doré, Logan A. Walsh, Andréanne Gagné and Daniela F. Quail 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 126 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Morteza Rezanejad Canada 7 43 37 29 28 22 20 131
Mengchen Zhu China 9 89 2.1× 18 0.5× 45 1.6× 4 0.1× 47 2.1× 22 258
Hamid Behravan Finland 9 8 0.2× 59 1.6× 3 0.1× 20 0.7× 38 1.7× 18 294
Chonghua Xue United States 4 23 0.5× 20 0.5× 8 0.3× 2 0.1× 42 1.9× 5 162
Austin Wang United States 8 13 0.3× 22 0.6× 5 0.2× 6 0.2× 18 0.8× 24 159
Yixuan Qiu United States 5 8 0.2× 8 0.2× 8 0.3× 7 0.3× 68 3.1× 17 224
Shaolong Cao United States 8 18 0.4× 7 0.2× 18 0.6× 22 0.8× 153 7.0× 22 226
Jesuchristopher Joseph United States 6 6 0.1× 6 0.2× 22 0.8× 26 0.9× 35 1.6× 6 129
Ghulam Gilanie Pakistan 11 5 0.1× 119 3.2× 3 0.1× 7 0.3× 11 0.5× 33 291
Misha Koshelev United States 8 10 0.2× 7 0.2× 6 0.2× 27 1.0× 117 5.3× 41 277

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

20 of 20 papers shown
1.
Desharnais, Lysanne, Mark Sorin, Morteza Rezanejad, et al.. (2025). Spatially mapping the tumour immune microenvironments of non-small cell lung cancer. Nature Communications. 16(1). 1345–1345. 9 indexed citations
2.
Hartner, Saskia, Morteza Rezanejad, Elham Karimi, et al.. (2025). Oncogenic driver mutations underlie the spatial tumour immune landscape of non-small cell lung cancer. Nature Communications. 16(1). 8402–8402.
3.
Maghsoudi, Omid Haji, Haojia Li, Lauren Brady, et al.. (2025). Effect of fusion of radiomic, pathomic, and clinical biomarkers on multi-scale tumor biology and OS stratification in HNSCC receiving standard of care (SOC).. Journal of Clinical Oncology. 43(16_suppl). 6046–6046.
4.
Rezanejad, Morteza, et al.. (2024). MLGCN: an ultra efficient graph convolutional neural model for 3D point cloud analysis. Frontiers in Artificial Intelligence. 7. 1439340–1439340.
5.
Walther, Dirk B., et al.. (2023). The mid-level vision toolbox for computing structural properties of real-world images. Frontiers in Computer Science. 5. 10 indexed citations
6.
Rezanejad, Morteza, et al.. (2023). Memorability of line drawings of scenes: the role of contour properties. Memory & Cognition. 53(1). 33–53. 4 indexed citations
7.
Sorin, Mark, Elham Karimi, Morteza Rezanejad, et al.. (2023). Single-cell spatial landscape of immunotherapy response reveals mechanisms of CXCL13 enhanced antitumor immunity. Journal for ImmunoTherapy of Cancer. 11(2). e005545–e005545. 33 indexed citations
8.
Rezanejad, Morteza, et al.. (2023). Anger is red, sadness is blue: Emotion depictions in abstract visual art by artists and non-artists. Journal of Vision. 23(4). 1–1. 14 indexed citations
9.
Rezanejad, Morteza, Oren Kraus, J. R. Taylor, et al.. (2023). RxRx1: A Dataset for Evaluating Experimental Batch Correction Methods. 4285–4294. 16 indexed citations
10.
Rezanejad, Morteza, John Wilder, Dirk B. Walther, et al.. (2023). Shape-Based Measures Improve Scene Categorization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(4). 2041–2053. 1 indexed citations
11.
Wilder, John, Morteza Rezanejad, Sven Dickinson, et al.. (2022). Neural correlates of local parallelism during naturalistic vision. PLoS ONE. 17(1). e0260266–e0260266. 4 indexed citations
12.
Rezanejad, Morteza, et al.. (2022). Medial Spectral Coordinates for 3D Shape Analysis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 3 indexed citations
13.
Savadjiev, Peter, B. Gallix, Morteza Rezanejad, et al.. (2021). Improved Detection of Chronic Obstructive Pulmonary Disease at Chest CT Using the Mean Curvature of Isophotes. Radiology Artificial Intelligence. 4(1). e210105–e210105. 5 indexed citations
14.
Rezanejad, Morteza, John Wilder, Dirk B. Walther, et al.. (2019). Gestalt-based Contour Weights Improve Scene Categorization by CNNs. 1 indexed citations
15.
Wilder, John, Morteza Rezanejad, Sven Dickinson, et al.. (2018). Local contour symmetry facilitates scene categorization. Cognition. 182. 307–317. 19 indexed citations
16.
Hong, Sung‐Kwon, Morteza Rezanejad, Kaleem Siddiqi, et al.. (2017). Subject-specific longitudinal shape analysis by coupling spatiotemporal shape modeling with medial analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10133. 101331A–101331A. 2 indexed citations
17.
Wilder, John, Morteza Rezanejad, Sven Dickinson, et al.. (2017). The role of symmetry in scene categorization by human observers. Purdue e-Pubs (Purdue University System). 1 indexed citations
18.
Wilder, John, Morteza Rezanejad, Sven Dickinson, et al.. (2017). The perceptual advantage of symmetry for scene perception. Journal of Vision. 17(10). 1091–1091. 1 indexed citations
19.
Rezanejad, Morteza, Babak Samari, Ioannis Rekleitis, Kaleem Siddiqi, & Gregory Dudek. (2015). Robust environment mapping using flux skeletons. 5700–5705. 7 indexed citations
20.
Rezanejad, Morteza & Kaleem Siddiqi. (2015). View Sphere Partitioning via Flux Graphs Boosts Recognition from Sparse Views. 2. 1 indexed citations

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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