Behnaz Abdollahi

885 total citations
12 papers, 482 citations indexed

About

Behnaz Abdollahi is a scholar working on Oncology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Behnaz Abdollahi has authored 12 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Behnaz Abdollahi's work include Colorectal Cancer Screening and Detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Steganography and Watermarking Techniques (2 papers). Behnaz Abdollahi is often cited by papers focused on Colorectal Cancer Screening and Detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Steganography and Watermarking Techniques (2 papers). Behnaz Abdollahi collaborates with scholars based in United States, Iran and India. Behnaz Abdollahi's co-authors include Hermann B. Frieboes, Victor H. van Berkel, Saeed Hassanpour, Ayman El‐Baz, Meredith S. Brown, Bing Ren, Diwakar R. Pattabiraman, Kristen E. Muller, Owen M. Wilkins and Brock C. Christensen and has published in prestigious journals such as Science Advances, New Journal of Physics and JAMA Network Open.

In The Last Decade

Behnaz Abdollahi

12 papers receiving 467 citations

Peers

Behnaz Abdollahi
Kevin Boehm United States
Ramón Viñas United Kingdom
Lily H. Peng United States
Jenny L. Smith United States
Arjun B. Sood United States
Anurag Vaidya United States
Peter Truszkowski United States
Kevin Boehm United States
Behnaz Abdollahi
Citations per year, relative to Behnaz Abdollahi Behnaz Abdollahi (= 1×) peers Kevin Boehm

Countries citing papers authored by Behnaz Abdollahi

Since Specialization
Citations

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

Fields of papers citing papers by Behnaz Abdollahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behnaz Abdollahi

This figure shows the co-authorship network connecting the top 25 collaborators of Behnaz Abdollahi. A scholar is included among the top collaborators of Behnaz Abdollahi 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 Behnaz Abdollahi. Behnaz Abdollahi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Abdollahi, Behnaz, Ahad Harati, & Amir Hossein Taherinia. (2023). Image steganography based on smooth cycle-consistent adversarial learning. Journal of Information Security and Applications. 79. 103631–103631. 7 indexed citations
2.
Brown, Meredith S., Behnaz Abdollahi, Owen M. Wilkins, et al.. (2022). Phenotypic heterogeneity driven by plasticity of the intermediate EMT state governs disease progression and metastasis in breast cancer. Science Advances. 8(31). eabj8002–eabj8002. 79 indexed citations
3.
Brown, Meredith S., Behnaz Abdollahi, Saeed Hassanpour, & Diwakar R. Pattabiraman. (2022). Quantifying epithelial-mesenchymal heterogeneity and EMT scoring in tumor samples via tyramide signal amplification (TSA). Methods in cell biology. 171. 149–161. 1 indexed citations
4.
Abdollahi, Behnaz, Manu Goyal, Matthew A. Suriawinata, et al.. (2022). Bladder cancer prognosis using deep neural networks and histopathology images. Journal of Pathology Informatics. 13. 100135–100135. 19 indexed citations
5.
Abdollahi, Behnaz, Ahad Harati, & Amir Hossein Taherinia. (2022). Non-additive image steganographic framework based on variational inference in Markov Random Fields. Journal of Information Security and Applications. 68. 103254–103254. 2 indexed citations
6.
Wei, Jason, Arief A. Suriawinata, Louis Vaickus, et al.. (2020). Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides. JAMA Network Open. 3(4). e203398–e203398. 74 indexed citations
7.
Tomita, Naofumi, Behnaz Abdollahi, Jason Wei, et al.. (2018). Finding a Needle in the Haystack: Attention-Based Classification of High Resolution Microscopy Images.. arXiv (Cornell University). 4 indexed citations
8.
Abdollahi, Behnaz, et al.. (2017). Prediction of lung cancer patient survival via supervised machine learning classification techniques. International Journal of Medical Informatics. 108. 1–8. 216 indexed citations
9.
Ven, Anne L. van de, Behnaz Abdollahi, Carlos J. Martinez, et al.. (2013). Modeling of nanotherapeutics delivery based on tumor perfusion. New Journal of Physics. 15(5). 55004–55004. 29 indexed citations
10.
Khalifa, Fahmi, Mohamed Abou El‐Ghar, Behnaz Abdollahi, et al.. (2013). A comprehensive non‐invasive framework for automated evaluation of acute renal transplant rejection using DCE‐MRI. NMR in Biomedicine. 26(11). 1460–1470. 25 indexed citations
11.
Abdollahi, Behnaz, et al.. (2012). A novel Gaussian Scale Space-based joint MGRF framework for precise lung segmentation. 2029–2032. 21 indexed citations
12.
Abdollahi, Behnaz, Ayman El‐Baz, & Amir A. Amini. (2011). A multi-scale non-linear vessel enhancement technique. 3925–3929. 5 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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