Matthew Wright

6.4k total citations · 1 hit paper
161 papers, 3.4k citations indexed

About

Matthew Wright is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Matthew Wright has authored 161 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computer Vision and Pattern Recognition, 54 papers in Artificial Intelligence and 53 papers in Computer Networks and Communications. Recurrent topics in Matthew Wright's work include Music Technology and Sound Studies (48 papers), Internet Traffic Analysis and Secure E-voting (40 papers) and Music and Audio Processing (35 papers). Matthew Wright is often cited by papers focused on Music Technology and Sound Studies (48 papers), Internet Traffic Analysis and Secure E-voting (40 papers) and Music and Audio Processing (35 papers). Matthew Wright collaborates with scholars based in United States, South Korea and United Kingdom. Matthew Wright's co-authors include David Wessel, Adrian Freed, Donggang Liu, Payap Sirinam, Sajal K. Das, Brian Neil Levine, Jun‐Won Ho, Micah Adler, Clay Shields and Mohsen Imani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and IEEE Access.

In The Last Decade

Matthew Wright

155 papers receiving 3.0k citations

Hit Papers

Deep Fingerprinting 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Wright United States 26 1.5k 1.4k 1.2k 974 532 161 3.4k
Lawrence A. Rowe United States 31 2.1k 1.4× 711 0.5× 1.1k 0.9× 1.1k 1.2× 122 0.2× 112 3.6k
Yunxin Liu China 32 1.1k 0.7× 962 0.7× 1.4k 1.1× 360 0.4× 86 0.2× 143 3.3k
Mark Claypool United States 29 2.0k 1.4× 550 0.4× 1.4k 1.1× 402 0.4× 120 0.2× 168 4.1k
Hari Sundaram United States 28 355 0.2× 867 0.6× 1.5k 1.2× 542 0.6× 121 0.2× 162 3.5k
Junehwa Song South Korea 28 684 0.5× 410 0.3× 939 0.8× 268 0.3× 136 0.3× 139 2.7k
De-Nian Yang Taiwan 26 784 0.5× 359 0.3× 361 0.3× 267 0.3× 286 0.5× 175 2.0k
Fabian Monrose United States 36 2.3k 1.6× 2.7k 1.9× 927 0.8× 4.2k 4.3× 123 0.2× 105 6.1k
Pradeep K. Atrey United States 23 349 0.2× 962 0.7× 1.2k 1.0× 660 0.7× 65 0.1× 126 2.7k
Bernhard Nebel Germany 34 1.6k 1.1× 3.6k 2.6× 982 0.8× 403 0.4× 102 0.2× 165 5.0k
Alexander Raake Germany 30 417 0.3× 253 0.2× 2.1k 1.8× 1.1k 1.1× 392 0.7× 235 3.3k

Countries citing papers authored by Matthew Wright

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Wright

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Wright. A scholar is included among the top collaborators of Matthew Wright 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 Wright. Matthew Wright 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.
Imani, Mohsen, et al.. (2019). Adv-DWF: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces.. arXiv (Cornell University). 2 indexed citations
2.
Imani, Mohsen, et al.. (2018). Towards Predicting Efficient and Anonymous Tor Circuits. USENIX Security Symposium. 429–444. 2 indexed citations
3.
Al-Ameen, Mahdi Nasrullah, et al.. (2015). The Impact of Cues and User Interaction on the Memorability of System-Assigned Recognition-Based Graphical Passwords. Symposium On Usable Privacy and Security. 185–196. 11 indexed citations
4.
Scielzo, Shannon, et al.. (2014). Applying Psychometrics to Measure User Comfort when Constructing a Strong Password. Symposium On Usable Privacy and Security. 231–242. 7 indexed citations
5.
Wright, Matthew, et al.. (2014). Collaborative Live-Coding with an Immersive Instrument. New Interfaces for Musical Expression. 505–508. 2 indexed citations
6.
Mittal, Prateek, Matthew Wright, & Nikita Borisov. (2012). Pisces: Anonymous Communication Using Social Networks. Network and Distributed System Security Symposium. 1–18. 15 indexed citations
7.
Wright, Matthew, et al.. (2011). Sound Element Spatializer.. The Journal of the Abraham Lincoln Association. 2011. 6 indexed citations
8.
Wright, Matthew, et al.. (2011). Intuitive Real-Time Control of Spectral Model Synthesis. New Interfaces for Musical Expression. 284–287. 1 indexed citations
9.
Wright, Matthew. (2006). Shifty Looping: meter-aware, non-repeating rhythmic loops. The Journal of the Abraham Lincoln Association. 2006. 1 indexed citations
10.
Freed, Adrian, et al.. (2006). Comparing Musical Control Structures and Signal Processing Strategies for the Augmented Cello and Guitar. The Journal of the Abraham Lincoln Association. 2006. 1 indexed citations
11.
Wright, Matthew, et al.. (2004). Audio and Gesture Latency Measurements on Linux and OSX. The Journal of the Abraham Lincoln Association. 2004. 13 indexed citations
12.
Wright, Matthew, et al.. (2001). Managing Complexity with Explicit Mapping of Gestures to Sound Control with OSC. The Journal of the Abraham Lincoln Association. 2001. 22 indexed citations
13.
Madden, Timothy J., et al.. (2001). Preparation for Interactive Live Computer Performance in Collaboration with a Symphony Orchestra. International Computer Music Conference. 2001(7). 501–5. 5 indexed citations
14.
Wright, Matthew, et al.. (2000). An XML-based SDIF Stream Relationships Language. International Computer Music Conference. 2000. 54–54. 2 indexed citations
15.
Freed, Adrian, et al.. (2000). An Open Architecture for Real-time Music Software. The Journal of the Abraham Lincoln Association. 2000. 9 indexed citations
16.
Wright, Matthew & David Wessel. (1998). An Improvisation Environment for Generating Rhythmic Structures Based on North Indian 'Tal' Patterns. The Journal of the Abraham Lincoln Association. 1998. 6 indexed citations
17.
Wright, Matthew. (1998). Implementation and Performance Issues with OpenSound Control.. The Journal of the Abraham Lincoln Association. 1998. 16 indexed citations
18.
Wessel, David, et al.. (1998). Preparation for Improvised Performance in Collaboration with a Khyal Singer. The Journal of the Abraham Lincoln Association. 1998. 11 indexed citations
19.
Wright, Matthew, David Wessel, & Adrian Freed. (1997). New Musical Control Structures from Standard Gestural Controllers. The Journal of the Abraham Lincoln Association. 1997. 387–390. 20 indexed citations
20.
Iyer, Vijay, Matthew Wright, David Wessel, & Jeff Bilmes. (1997). A novel representation for rhythmic structure. International Computer Music Conference. 97–100. 22 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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