Jason J. Corso

14.2k total citations · 3 hit papers
145 papers, 3.8k citations indexed

About

Jason J. Corso is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Jason J. Corso has authored 145 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Computer Vision and Pattern Recognition, 39 papers in Artificial Intelligence and 18 papers in Aerospace Engineering. Recurrent topics in Jason J. Corso's work include Advanced Image and Video Retrieval Techniques (33 papers), Human Pose and Action Recognition (28 papers) and Multimodal Machine Learning Applications (19 papers). Jason J. Corso is often cited by papers focused on Advanced Image and Video Retrieval Techniques (33 papers), Human Pose and Action Recognition (28 papers) and Multimodal Machine Learning Applications (19 papers). Jason J. Corso collaborates with scholars based in United States, China and United Kingdom. Jason J. Corso's co-authors include Chenliang Xu, Siddharth Sadanand, Luowei Zhou, Caiming Xiong, Lei Zhang, Hamid Palangi, Houdong Hu, Jianfeng Gao, Ran Xu and Vipin Chaudhary and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

Jason J. Corso

140 papers receiving 3.7k citations

Hit Papers

Unified Vision-Language Pre-Training... 2012 2026 2016 2021 2020 2012 2018 100 200 300 400

Peers

Jason J. Corso
Qi Wu China
Anup Basu Canada
Efstratios Gavves Netherlands
Naoufel Werghi United Arab Emirates
Jason J. Corso
Citations per year, relative to Jason J. Corso Jason J. Corso (= 1×) peers Xiantong Zhen

Countries citing papers authored by Jason J. Corso

Since Specialization
Citations

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

Fields of papers citing papers by Jason J. Corso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason J. Corso. 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 Jason J. Corso. The network helps show where Jason J. Corso may publish in the future.

Co-authorship network of co-authors of Jason J. Corso

This figure shows the co-authorship network connecting the top 25 collaborators of Jason J. Corso. A scholar is included among the top collaborators of Jason J. Corso 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 Jason J. Corso. Jason J. Corso 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.
Corso, Jason J., et al.. (2023). Evaluating and Improving Interactions with Hazy Oracles. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 6039–6047. 1 indexed citations
3.
Likosky, Donald S., Steven Yule, Michael R. Mathis, et al.. (2020). Novel Assessments of Technical and Nontechnical Cardiac Surgery Quality: Protocol for a Mixed Methods Study. JMIR Research Protocols. 10(1). e22536–e22536. 4 indexed citations
4.
Zhou, Luowei, et al.. (2018). Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction. British Machine Vision Conference. 50. 4 indexed citations
5.
Corso, Jason J., et al.. (2018). M-PACT: Michigan Platform for Activity Classification in Tensorflow.. arXiv (Cornell University). 2 indexed citations
6.
Zhou, Luowei, Chenliang Xu, & Jason J. Corso. (2017). ProcNets: Learning to Segment Procedures in Untrimmed and Unconstrained Videos.. arXiv (Cornell University). 4 indexed citations
7.
Schlegel, Daniel, et al.. (2014). Systemic test and evaluation of a hard+soft information fusion framework: Challenges and current approaches. International Conference on Information Fusion. 1–8. 12 indexed citations
8.
Xiong, Caiming, David Johnson, & Jason J. Corso. (2013). Efficient Max-Margin Metric Learning. 5 indexed citations
9.
Coffee, Neil, et al.. (2013). Modelling the Interpretation of Literary Allusion with Machine Learning Techniques.. DH. 478–479. 1 indexed citations
10.
Xiong, Caiming, David Johnson, & Jason J. Corso. (2013). Uncertainty reduction for active image clustering via a hybrid global-local uncertainty model. National Conference on Artificial Intelligence. 149–151. 1 indexed citations
11.
Xiong, Caiming, et al.. (2013). Spectral Active Clustering via Purification of the k-Nearest Neighbor Graph. 11 indexed citations
13.
Johnson, David, Caiming Xiong, Jing Gao, & Jason J. Corso. (2013). Comprehensive cross-hierarchy cluster agreement evaluation. National Conference on Artificial Intelligence. 56–58. 2 indexed citations
14.
Ceusters, Werner, Jason J. Corso, Yun Fu, Michalis Petropoulos, & Venkat Krovi. (2010). Introducing Ontological Realism for Semi-Supervised Detection and Annotation of Operationally Significant Activity in Surveillance Videos. Scopus. 13–20. 2 indexed citations
15.
Girgis, Hani Z., Jason J. Corso, & Daniel Fischer. (2009). On-line hierarchy of general linear models for selecting and ranking the best predicted protein structures. PubMed. 2009. 4949–4953. 4 indexed citations
16.
Lü, Le, M. Ali Akber Dewan, Albert Y. Chen, et al.. (2009). Multi-level Ground Glass Nodule Detection and Segmentation in CT Lung Images. Lecture notes in computer science. 12(Pt 2). 715–723. 40 indexed citations
17.
Noël, Peter B., et al.. (2009). GPU-based cone beam computed tomography. Computer Methods and Programs in Biomedicine. 98(3). 271–277. 54 indexed citations
18.
Alomari, Raja S., Jason J. Corso, Vipin Chaudhary, & Gurmeet Dhillon. (2009). Computer-aided diagnosis of lumbar disc pathology from clinical lower spine MRI. International Journal of Computer Assisted Radiology and Surgery. 5(3). 287–293. 42 indexed citations
19.
Corso, Jason J., Raja S. Alomari, & Vipin Chaudhary. (2008). Lumbar Disc Localization and Labeling with a Probabilistic Model on Both Pixel and Object Features. Lecture notes in computer science. 11(Pt 1). 202–210. 63 indexed citations
20.
Corso, Jason J., et al.. (2002). Interactive visualization of unstructured grids using hierarchical 3D textures. 37–44. 8 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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