Sarah Ostadabbas

2.3k total citations
106 papers, 1.5k citations indexed

About

Sarah Ostadabbas is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Sarah Ostadabbas has authored 106 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 30 papers in Cognitive Neuroscience and 28 papers in Biomedical Engineering. Recurrent topics in Sarah Ostadabbas's work include Pressure Ulcer Prevention and Management (20 papers), Human Pose and Action Recognition (18 papers) and EEG and Brain-Computer Interfaces (17 papers). Sarah Ostadabbas is often cited by papers focused on Pressure Ulcer Prevention and Management (20 papers), Human Pose and Action Recognition (18 papers) and EEG and Brain-Computer Interfaces (17 papers). Sarah Ostadabbas collaborates with scholars based in United States, Iran and Mexico. Sarah Ostadabbas's co-authors include Mehrdad Nourani, R. Yousefi, Issa Panahi, Shuangjun Liu, M. Pompeo, Maziyar Baran Pouyan, Nasser Kehtarnavaz, Sateesh Addepalli, Xiaofei Huang and Miad Faezipour and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Sarah Ostadabbas

100 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Ostadabbas United States 21 561 389 214 196 191 106 1.5k
Stephen Preece United Kingdom 21 1.0k 1.8× 632 1.6× 112 0.5× 99 0.5× 122 0.6× 64 2.6k
Ming-Chun Huang United States 24 1.0k 1.8× 428 1.1× 80 0.4× 89 0.5× 252 1.3× 92 2.0k
Babak Taati Canada 27 598 1.1× 537 1.4× 23 0.1× 113 0.6× 224 1.2× 101 2.0k
Yeh‐Liang Hsu Taiwan 18 539 1.0× 325 0.8× 44 0.2× 67 0.3× 101 0.5× 65 1.8k
Adriano de Oliveira Andrade Brazil 23 684 1.2× 145 0.4× 44 0.2× 263 1.3× 656 3.4× 147 2.2k
Steffen Müller Germany 24 568 1.0× 122 0.3× 80 0.4× 196 1.0× 71 0.4× 137 1.8k
Kevin Ball Australia 31 1.3k 2.3× 124 0.3× 116 0.5× 86 0.4× 171 0.9× 145 3.4k
Alessandro Tognetti Italy 28 1.6k 2.9× 346 0.9× 50 0.2× 183 0.9× 463 2.4× 141 2.6k
Andrea Mannini Italy 25 1.2k 2.1× 845 2.2× 28 0.1× 97 0.5× 237 1.2× 108 2.5k
Marko Munih Slovenia 31 1.8k 3.2× 212 0.5× 45 0.2× 75 0.4× 649 3.4× 183 3.3k

Countries citing papers authored by Sarah Ostadabbas

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Ostadabbas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Ostadabbas

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Ostadabbas. A scholar is included among the top collaborators of Sarah Ostadabbas 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 Sarah Ostadabbas. Sarah Ostadabbas 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.
McLinden, John, et al.. (2024). fNIRSNET: A multi-view spatio-temporal convolutional neural network fusion for functional near-infrared spectroscopy-based auditory event classification. Engineering Applications of Artificial Intelligence. 137. 109256–109256. 5 indexed citations
2.
Troiano, Giovanni Maria, et al.. (2024). ArticuMotion: Towards Assessing Motor Speech Disorders via Gamification. 232–247. 3 indexed citations
3.
Hayes, Marie J., et al.. (2024). Subtle signals: Video-based detection of infant non-nutritive sucking as a neurodevelopmental cue. Computer Vision and Image Understanding. 247. 104081–104081. 2 indexed citations
4.
Jiang, Le, et al.. (2023). Bridging the Domain Gap between Synthetic and Real-World Data for Autonomous Driving. 1(2). 1–15. 2 indexed citations
5.
Huang, Xiaofei, et al.. (2023). Computer Vision to the Rescue: Infant Postural Symmetry Estimation from Incongruent Annotations. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 11. 1909–1917. 7 indexed citations
6.
Fayfman, Maya, et al.. (2023). Intelligent Care Management for Diabetic Foot Ulcers: A Scoping Review of Computer Vision and Machine Learning Techniques and Applications. Journal of Diabetes Science and Technology. 19(3). 820–829. 2 indexed citations
7.
Jiang, Le, et al.. (2023). Toward a Smart Sensing System to Monitor Small Animal's Physical State via Multi-Frequency Resonator Array. IEEE Transactions on Biomedical Circuits and Systems. 17(3). 521–533. 3 indexed citations
8.
Borgheai, Seyyed Bahram, et al.. (2022). A Graph-Based Nonlinear Dynamic Characterization of Motor Imagery Toward an Enhanced Hybrid BCI. Neuroinformatics. 20(4). 1169–1189. 9 indexed citations
9.
Ostadabbas, Sarah, et al.. (2021). Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data. Neural Information Processing Systems. 34. 2 indexed citations
10.
Huang, Xiaofei, Nihang Fu, Shuangjun Liu, & Sarah Ostadabbas. (2021). Invariant Representation Learning for Infant Pose Estimation with Small Data. 1–8. 26 indexed citations
11.
Liu, Shuangjun, et al.. (2020). Nanomaterials-based Color-Detection via Machine-Learning Algorithms. Bulletin of the American Physical Society. 1 indexed citations
12.
Ostadabbas, Sarah, et al.. (2019). Wavelength Estimation of Light Source via Machine Learning Techniques using Low Cost 2D Layered Nano-material Filters. Bulletin of the American Physical Society. 2019. 1 indexed citations
13.
Khalaf, Aya, Miaolin Fan, Yu Yin, et al.. (2019). Analysis of multimodal physiological signals within and between individuals to predict psychological challenge vs. threat. Expert Systems with Applications. 140. 112890–112890. 17 indexed citations
14.
Huang, Xiaofei, et al.. (2019). AH-CoLT: an AI-Human Co-Labeling Toolbox to Augment Efficient Groundtruth Generation. 1–6. 4 indexed citations
15.
Yin, Yu, et al.. (2018). An Open-Source Feature Extraction Tool for the Analysis of Peripheral Physiological Data. IEEE Journal of Translational Engineering in Health and Medicine. 6. 1–11. 51 indexed citations
16.
Ostadabbas, Sarah, et al.. (2017). Spatially-Continuous Plantar Pressure Reconstruction Using Compressive Sensing. 13–24. 2 indexed citations
17.
Heydarzadeh, Mehrdad, Javad Birjandtalab, Maziyar Baran Pouyan, Mehrdad Nourani, & Sarah Ostadabbas. (2017). Gaits analysis using pressure image for subject identification. 333–336. 5 indexed citations
18.
Pouyan, Maziyar Baran, Javad Birjandtalab, Mehrdad Heydarzadeh, Mehrdad Nourani, & Sarah Ostadabbas. (2017). A pressure map dataset for posture and subject analytics. 65–68. 59 indexed citations
19.
Heydarzadeh, Mehrdad, Mehrdad Nourani, & Sarah Ostadabbas. (2016). In-bed posture classification using deep autoencoders. PubMed. 2016. 3839–3842. 34 indexed citations
20.
Ostadabbas, Sarah, Maziyar Baran Pouyan, Mehrdad Nourani, & Nasser Kehtarnavaz. (2014). In-bed posture classification and limb identification. 133–136. 55 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Stephen Preece Breakdown of academic impact, for papers by Ming-Chun Huang Breakdown of academic impact, for papers by Babak Taati Breakdown of academic impact, for papers by Yeh‐Liang Hsu Breakdown of academic impact, for papers by Adriano de Oliveira Andrade Breakdown of academic impact, for papers by Steffen Müller Breakdown of academic impact, for papers by Kevin Ball Breakdown of academic impact, for papers by Alessandro Tognetti Breakdown of academic impact, for papers by Andrea Mannini Breakdown of academic impact, for papers by Marko Munih
Rankless by CCL
2026