Sirvan Khalighi

1.0k total citations · 1 hit paper
26 papers, 619 citations indexed

About

Sirvan Khalighi is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Sirvan Khalighi has authored 26 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Cognitive Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Sirvan Khalighi's work include EEG and Brain-Computer Interfaces (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Gaze Tracking and Assistive Technology (3 papers). Sirvan Khalighi is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Gaze Tracking and Assistive Technology (3 papers). Sirvan Khalighi collaborates with scholars based in United States, Iran and Portugal. Sirvan Khalighi's co-authors include Urbano Nunes, Teresa Sousa, José Moutinho dos Santos, Gabriel Pires, Anant Madabhushi, Malak Abedalthagafi, Abhishek Midya, Krunal Pandav, Hamid R. Rabiee and Dulce Oliveira and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Sirvan Khalighi

22 papers receiving 604 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment

2024 95 citations Sirvan Khalighi, Abhishek Midya et al. npj Precision Oncology profile →

Peers

Countries citing papers authored by Sirvan Khalighi

Since Specialization

Citations

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

Fields of papers citing papers by Sirvan Khalighi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sirvan Khalighi

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Collagen disorder architecture features are associated with clinical, molecular, genetic factors and survival outcomes in colon cancer 2025 ·npj Precision Oncology ·(unknown), (unknown), (unknown), (unknown), (unknown), Pingfu Fu, (unknown), Sirvan Khalighi, (unknown), Mojgan Mokhtari, Michelle D. Reid, Alyssa M. Krasinskas, Krunal Pandav, Joseph Willis, (unknown)	0
2	Deep Learning Model of Primary Tumor and Metastatic Cervical Lymph Nodes From CT for Outcome Predictions in Oropharyngeal Cancer 2025 ·JAMA Network Open ·(unknown), (unknown), Kailin Yang, Sirvan Khalighi, Krunal Pandav, (unknown), Jonathan Lee, Sarah J. Stock, (unknown), (unknown), Pingfu Fu, Shlomo A. Koyfman, Nabil F. Saba, Mihir R. Patel, (unknown)	1
3	Non-Invasive Molecular Classification of Gliomas Using Explainable ai and Radiomic Features from Multi-Sequence MRI 2025 ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Brent D. Weinberg, Malak Abedalthagafi, Sirvan Khalighi	0
4	A novel computational pathology approach for identifying gene signatures prognostic of disease-free survival for papillary thyroid carcinomas 2024 ·European Journal of Cancer ·(unknown), Sirvan Khalighi, Pingfu Fu, Qiuying Shi, L. Sylvia, Anant Madabhushi	1
5	Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment breakdown → 2024 ·npj Precision Oncology ·Sirvan Khalighi, (unknown), Abhishek Midya, Krunal Pandav, Anant Madabhushi, Malak Abedalthagafi	95
6	Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies 2024 ·SHILAP Revista de lepidopterología ·(unknown), Sirvan Khalighi, (unknown), (unknown), (unknown), Germán Corredor, Pingfu Fu, Mojgan Mokhtari, (unknown), (unknown), Susan C. Modesitt, Haider Mahdi, Stefanie Avril, Anant Madabhushi	7
7	Association of artificial intelligence–derived collagen disorder architecture (CoDA) features with survival outcome and objective response to immune checkpoint inhibitors in patients with head and neck squamous cell carcinoma. 2024 ·Journal of Clinical Oncology ·(unknown), Haojia Li, Germán Corredor, Pingfu Fu, Sirvan Khalighi, Scott Steward-Tharp, Mihir R. Patel, Nicole C. Schmitt, Qiuying Shi, Paula Toro, (unknown), Krunal Pandav, Jay Wasman, Theodoros N. Teknos, (unknown), (unknown), Quintin Pan, Nabil F. Saba, James S. Lewis, Anant Madabhushi	1
8	Machine learning driven index of tumor multinucleation correlates with survival and suppressed anti-tumor immunity in head and neck squamous cell carcinoma patients 2023 ·Oral Oncology ·Can Koyuncu, Mitchell J. Frederick, Lester D.�R. Thompson, Germán Corredor, Sirvan Khalighi, Zelin Zhang, (unknown), Cheng Lu, (unknown), Vidya Sankar Viswanathan, (unknown), Kailin Yang, Shlomo A. Koyfman, Deborah J. Chute, Patricia Castro, James S. Lewis, Anant Madabhushi, Vlad C. Sandulache	7
9	H3K9 methylation drives resistance to androgen receptor–antagonist therapy in prostate cancer 2022 ·Proceedings of the National Academy of Sciences ·Mehdi Baratchian, Ritika Tiwari, Sirvan Khalighi, Ankur Chakravarthy, Wei Yuan, (unknown), Jianneng Li, (unknown), Johann S. de Bono, Vladimir Makarov, Timothy A. Chan, Robert H. Silverman, George R. Stark, Vinay Varadan, (unknown), Abhishek A. Chakraborty, Nima Sharifi	35
10	HNF4A Defines Molecular Subtypes and Vulnerability to Transforming Growth Factor β-Pathway Targeted Therapies in Cancers of the Distal Esophagus 2022 ·Gastroenterology ·Andrew E. Blum, (unknown), Salendra Singh, (unknown), Adam Kresak, Joseph Willis, Marcia Irene Canto, Jean S. Wang, Nicholas J. Shaheen, Amitabh Chak, (unknown), Sirvan Khalighi, Vinay Varadan, Kishore Guda	3
11	SYSMut: decoding the functional significance of rare somatic mutations in cancer 2022 ·Briefings in Bioinformatics ·Sirvan Khalighi, Peronne Joseph, (unknown), Salendra Singh, Thomas LaFramboise, Kishore Guda, Vinay Varadan	0
12	Untangling a complex web: Computational analyses of tumor molecular profiles to decode driver mechanisms 2020 ·Journal of genetics and genomics ·Sirvan Khalighi, Salendra Singh, Vinay Varadan	2
13	A two-step automatic sleep stage classification method with dubious range detection 2015 ·Computers in Biology and Medicine ·Teresa Sousa, (unknown), Sirvan Khalighi, Gabriel Pires, Urbano Nunes	42
14	ISRUC-Sleep: A comprehensive public dataset for sleep researchers 2015 ·Computer Methods and Programs in Biomedicine ·Sirvan Khalighi, Teresa Sousa, José Moutinho dos Santos, Urbano Nunes	195
15	Automatic sleep staging: A computer assisted approach for optimal combination of features and polysomnographic channels 2013 ·Expert Systems with Applications ·Sirvan Khalighi, Teresa Sousa, Gabriel Pires, Urbano Nunes	98
16	NEUROPHYSIOLOGIC AND STATISTICAL ANALYSIS OF FAILURES IN AUTOMATIC SLEEP STAGE CLASSIFICATION 2012 ·Teresa Sousa, Dulce Oliveira, Sirvan Khalighi, Gabriel Pires, Urbano Nunes	2
17	Adaptive automatic sleep stage classification under covariate shift 2012 ·PubMed ·Sirvan Khalighi, Teresa Sousa, Urbano Nunes	18
18	Efficient feature selection for sleep staging based on maximal overlap discrete wavelet transform and SVM 2011 ·PubMed ·Sirvan Khalighi, Teresa Sousa, Dulce Oliveira, Gabriel Pires, Urbano Nunes	44
19	A new robust non-blind digital watermarking scheme in contourlet domain 2009 ·Sirvan Khalighi, (unknown), Hamid R. Rabiee	7
20	A light-weight car navigation algorithm for high speed agents using wireless landmarks 2009 ·(unknown), (unknown), Ali Jahanian, Sirvan Khalighi	0

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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