Matthew Shreve

1.2k total citations
26 papers, 820 citations indexed

About

Matthew Shreve is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Matthew Shreve has authored 26 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Mechanical Engineering. Recurrent topics in Matthew Shreve's work include Face recognition and analysis (10 papers), Video Surveillance and Tracking Methods (7 papers) and Face and Expression Recognition (6 papers). Matthew Shreve is often cited by papers focused on Face recognition and analysis (10 papers), Video Surveillance and Tracking Methods (7 papers) and Face and Expression Recognition (6 papers). Matthew Shreve collaborates with scholars based in United States and France. Matthew Shreve's co-authors include Dmitry B. Goldgof, Sudeep Sarkar, Rangachar Kasturi, Joshua Candamo, Sergiy Fefilatyev, Palghat Ramesh, Orhan Bulan, Chad Lembke, Kurt Kramer and Lawrence Hall and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Intelligent Transportation Systems and Image and Vision Computing.

In The Last Decade

Matthew Shreve

24 papers receiving 777 citations

Peers

Matthew Shreve
Jae-Yeal Nam South Korea
Linhao Li China
Hefeng Wu China
Bernd Heisele United States
Matthew Shreve
Citations per year, relative to Matthew Shreve Matthew Shreve (= 1×) peers Keiichi Uchimura

Countries citing papers authored by Matthew Shreve

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Shreve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Shreve

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Shreve. A scholar is included among the top collaborators of Matthew Shreve 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 Matthew Shreve. Matthew Shreve 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.
Mohan, Shiwali, et al.. (2020). Characterizing an Analogical Concept Memory for Newellian Cognitive Architectures. arXiv (Cornell University). 1 indexed citations
2.
Shreve, Matthew, et al.. (2020). WARHOL: Wearable Holographic Object Labeler. Electronic Imaging. 32(13). 381–1. 8 indexed citations
3.
Mohan, Shiwali, et al.. (2019). Building Jarvis - A Learner-Aware Conversational Trainer.. 3 indexed citations
4.
Shreve, Matthew, et al.. (2019). Region-wise Modeling of Facial Skin Age using Deep CNNs. 1–6. 2 indexed citations
5.
Chow, Eugene M., Anne Plochowietz, Lara S. Crawford, et al.. (2019). 25‐4: Late‐News Paper: Xerographic MicroAssembly Printer for LEDs and Beyond. SID Symposium Digest of Technical Papers. 50(1). 349–352. 4 indexed citations
6.
Bulan, Orhan, et al.. (2017). Segmentation- and Annotation-Free License Plate Recognition With Deep Localization and Failure Identification. IEEE Transactions on Intelligent Transportation Systems. 18(9). 2351–2363. 141 indexed citations
8.
Shreve, Matthew, et al.. (2016). A study on the discriminability of facs from spontaneous facial expressions. 1674–1678. 5 indexed citations
9.
Shreve, Matthew, Edgar A. Bernal, Qun Li, & Robert P. Loce. (2015). Static Occlusion Detection and Handling in Transportation Videos. 638–643. 1 indexed citations
10.
Shreve, Matthew. (2013). Automatic Macro- and Micro-Facial Expression Spotting and Applications. Digital Commons - University of South Florida (University of South Florida). 4 indexed citations
11.
Fefilatyev, Sergiy, Dmitry B. Goldgof, Matthew Shreve, & Chad Lembke. (2012). Detection and tracking of ships in open sea with rapidly moving buoy-mounted camera system. Ocean Engineering. 54. 1–12. 97 indexed citations
12.
Shreve, Matthew, et al.. (2012). Method for Calculating View-Invariant 3D Optical Strain.
13.
Shreve, Matthew, et al.. (2011). Macro- and micro-expression spotting in long videos using spatio-temporal strain. 51–56. 145 indexed citations
15.
Goldgof, Dmitry B., et al.. (2009). Evaluation of smart video for transit event detection : final report.. 1 indexed citations
16.
Candamo, Joshua, et al.. (2009). Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms. IEEE Transactions on Intelligent Transportation Systems. 11(1). 206–224. 216 indexed citations
17.
Shreve, Matthew, et al.. (2009). Towards macro- and micro-expression spotting in video using strain patterns. 1–6. 81 indexed citations
18.
Shreve, Matthew, et al.. (2008). Finite element modeling of facial deformation in videos for computing strain pattern. Proceedings - International Conference on Pattern Recognition. 1–4. 6 indexed citations
19.
Canavan, Shaun, et al.. (2007). Face Recognition by Multi-Frame Fusion of Rotating Heads in Videos. 5404. 1–6. 11 indexed citations
20.
Shreve, Matthew, et al.. (1988). Application of Hand-Held Computers in Gathering Field Data. Journal of Petroleum Technology. 40(10). 1311–1315. 2 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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