Narges Armanfard

1.3k total citations · 1 hit paper
47 papers, 781 citations indexed

About

Narges Armanfard is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Narges Armanfard has authored 47 papers receiving a total of 781 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 9 papers in Biomedical Engineering. Recurrent topics in Narges Armanfard's work include Anomaly Detection Techniques and Applications (10 papers), Video Surveillance and Tracking Methods (8 papers) and Face and Expression Recognition (8 papers). Narges Armanfard is often cited by papers focused on Anomaly Detection Techniques and Applications (10 papers), Video Surveillance and Tracking Methods (8 papers) and Face and Expression Recognition (8 papers). Narges Armanfard collaborates with scholars based in Canada, Iran and India. Narges Armanfard's co-authors include Majid Komeili, Bahareh Nikpour, J.P. Reilly, Dimitrios Hatzinakos, Thi Kieu Khanh Ho, Carolina Camargo, Seyed Hamid Safiabadi Tali, Jason J. LeBlanc, Sana Jahanshahi‐Anbuhi and Zubi Sadiq and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Clinical Microbiology Reviews.

In The Last Decade

Narges Armanfard

45 papers receiving 754 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.

Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection

2021 247 citations Seyed Hamid Safiabadi Tali, Jason J. LeBlanc et al. Clinical Microbiology Reviews profile →

Peers

Countries citing papers authored by Narges Armanfard

Since Specialization

Citations

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

Fields of papers citing papers by Narges Armanfard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narges Armanfard

This figure shows the co-authorship network connecting the top 25 collaborators of Narges Armanfard. A scholar is included among the top collaborators of Narges Armanfard 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 Narges Armanfard. Narges Armanfard 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	An interpretable and reliable framework for alloy discovery in thermomechanical processing 2025 ·Materials Today Communications ·(unknown), Xiaoping Ma, (unknown), Narges Armanfard, Stephen Yue	1
2	Deep Clustering With Self-Supervision Using Pairwise Similarities 2025 ·IEEE Access ·(unknown), (unknown), Narges Armanfard	0
3	Graph Anomaly Detection in Time Series: A Survey 2025 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Thi Kieu Khanh Ho, Ali Karami, Narges Armanfard	4
4	Deep Reinforcement Learning in Human Activity Recognition: A Survey and Outlook 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·Bahareh Nikpour, (unknown), Narges Armanfard	12
5	AI healthcare research: Pioneering iSMART Lab 2024 ·Narges Armanfard	0
6	Self-supervised anomaly detection in computer vision and beyond: A survey and outlook 2024 ·Neural Networks ·(unknown), Thi Kieu Khanh Ho, Narges Armanfard	40
7	Spatio-temporal hard attention learning for skeleton-based activity recognition 2023 ·Pattern Recognition ·Bahareh Nikpour, Narges Armanfard	14
8	Deep Multirepresentation Learning for Data Clustering 2023 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Narges Armanfard	3
9	Spatial Hard Attention Modeling via Deep Reinforcement Learning for Skeleton-Based Human Activity Recognition 2023 ·IEEE Transactions on Systems Man and Cybernetics Systems ·Bahareh Nikpour, Narges Armanfard	7
10	DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Narges Armanfard	24
11	Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Thi Kieu Khanh Ho, Narges Armanfard	30
12	Multistep networks for roll force prediction in hot strip rolling mill 2021 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Xiaoping Ma, Stephen Yue, Narges Armanfard	12
13	Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection breakdown → 2021 ·Clinical Microbiology Reviews ·Seyed Hamid Safiabadi Tali, Jason J. LeBlanc, Zubi Sadiq, (unknown), Carolina Camargo, Bahareh Nikpour, Narges Armanfard, Selena M. Sagan, Sana Jahanshahi‐Anbuhi	247
14	Multiview Feature Selection for Single-View Classification 2020 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Majid Komeili, Narges Armanfard, Dimitrios Hatzinakos	25
15	Quantification of Resting-State Ballistocardiogram Difference Between Clinical and Non-Clinical Populations for Ambient Monitoring of Heart Failure 2020 ·IEEE Journal of Translational Engineering in Health and Medicine ·(unknown), Susanna Mak, Narges Armanfard, Jennifer Boger, Sherry L. Grace, Amaya Arcelus, Caroline Chessex, Alex Mihailidis	8
16	Liveness Detection and Automatic Template Updating Using Fusion of ECG and Fingerprint 2018 ·IEEE Transactions on Information Forensics and Security ·Majid Komeili, Narges Armanfard, Dimitrios Hatzinakos	44
17	Unobtrusive Detection of Simulated Orthostatic Hypotension and Supine Hypertension Using Ballistocardiogram and Electrocardiogram of Healthy Adults 2018 ·IEEE Journal of Translational Engineering in Health and Medicine ·(unknown), Narges Armanfard, Abdul Q. Javaid, Jennifer Boger, Alex Mihailidis	8
18	A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome Prediction 2018 ·IEEE Journal of Biomedical and Health Informatics ·Narges Armanfard, Majid Komeili, J.P. Reilly, John F. Connolly	19
19	Logistic Localized Modeling of the Sample Space for Feature Selection and Classification 2017 ·IEEE Transactions on Neural Networks and Learning Systems ·Narges Armanfard, J.P. Reilly, Majid Komeili	17
20	Automatic and continuous assessment of ERPs for mismatch negativity detection 2016 ·PubMed ·Narges Armanfard, Majid Komeili, J.P. Reilly, (unknown), John F. Connolly	2

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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