Philip Corriveau

841 total citations
25 papers, 387 citations indexed

About

Philip Corriveau is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Philip Corriveau has authored 25 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 9 papers in Cognitive Neuroscience and 5 papers in Media Technology. Recurrent topics in Philip Corriveau's work include Image and Video Quality Assessment (18 papers), Visual perception and processing mechanisms (6 papers) and Visual Attention and Saliency Detection (4 papers). Philip Corriveau is often cited by papers focused on Image and Video Quality Assessment (18 papers), Visual perception and processing mechanisms (6 papers) and Visual Attention and Saliency Detection (4 papers). Philip Corriveau collaborates with scholars based in United States, Canada and Belgium. Philip Corriveau's co-authors include Filippo Speranza, Lew B. Stelmach, Quan Huynh‐Thu, Marie-Neige Garcia, Alexander Raake, Wa James Tam, Shun‐nan Yang, James E. Sheedy, Michele A. Saad and A. Webster and has published in prestigious journals such as The Journal of the Acoustical Society of America, Signal Processing and IEEE Signal Processing Letters.

In The Last Decade

Philip Corriveau

24 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Corriveau United States 10 280 125 88 73 61 25 387
Hosik Sohn South Korea 14 429 1.5× 298 2.4× 175 2.0× 124 1.7× 87 1.4× 31 552
Tibor Balogh Hungary 13 385 1.4× 386 3.1× 157 1.8× 149 2.0× 35 0.6× 55 624
Pablo Pérez Spain 13 343 1.2× 79 0.6× 40 0.5× 220 3.0× 97 1.6× 80 534
Rakesh Rao Ramachandra Rao Germany 13 301 1.1× 53 0.4× 20 0.2× 35 0.5× 95 1.6× 41 361
Peter A. Kara Hungary 13 447 1.6× 328 2.6× 187 2.1× 72 1.0× 35 0.6× 87 574
Tero Vuori Finland 8 262 0.9× 86 0.7× 73 0.8× 96 1.3× 18 0.3× 16 374
Herman Towles United States 10 205 0.7× 89 0.7× 33 0.4× 136 1.9× 16 0.3× 21 295
Martin Řeřábek Switzerland 16 770 2.8× 173 1.4× 90 1.0× 69 0.9× 241 4.0× 42 862
Hadi Hadizadeh Canada 11 422 1.5× 62 0.5× 45 0.5× 29 0.4× 68 1.1× 39 470
A.D. Andreeva Russia 5 499 1.8× 44 0.4× 27 0.3× 161 2.2× 52 0.9× 15 676

Countries citing papers authored by Philip Corriveau

Since Specialization
Citations

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

Fields of papers citing papers by Philip Corriveau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Corriveau

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Corriveau. A scholar is included among the top collaborators of Philip Corriveau 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 Philip Corriveau. Philip Corriveau 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.
Pinson, Margaret, Philip Corriveau, Mikołaj Leszczuk, & Michael J. Colligan. (2020). Open Software Framework for Collaborative Development of No Reference Image and Video Quality Metrics. Electronic Imaging. 32(11). 92–1. 1 indexed citations
2.
Katsigiannis, Stamos, Naeem Ramzan, Lucjan Janowski, et al.. (2018). Interpreting MOS scores, when can users see a difference? Understanding user experience differences for photo quality. Durham Research Online (Durham University). 3(1). 18 indexed citations
3.
Allison, Robert S., Kjell Brunnström, Damon M. Chandler, et al.. (2018). Perspectives on the definition of visually lossless quality for mobile and large format displays. Journal of Electronic Imaging. 27(5). 1–1. 6 indexed citations
4.
Saad, Michele A., et al.. (2016). Image Quality of Experience: A Subjective Test Targeting the Consumer’s Experience. Electronic Imaging. 28(16). 1–6. 3 indexed citations
5.
Saad, Michele A., et al.. (2016). Online subjective testing for consumer-photo quality evaluation. Journal of Electronic Imaging. 25(4). 43009–43009. 3 indexed citations
6.
Saad, Michele A., et al.. (2015). Revealing the dark side of a subjective study: Learnings from noise and sharpness ratings. 19. 1–5. 1 indexed citations
7.
Saad, Michele A., et al.. (2015). Impact of camera pixel count and monitor resolution perceptual image quality. 15 indexed citations
8.
Gowrisankaran, Sowjanya, et al.. (2013). Depth perception from stationary and moving stereoscopic three-dimensional images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8648. 86480O–86480O. 8 indexed citations
9.
Yang, Shun‐nan, et al.. (2013). Discernible difference and change in object depth afforded by stereoscopic three-dimensional content. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8648. 86481C–86481C. 2 indexed citations
10.
Yang, Shun‐nan, et al.. (2012). Stereoscopic Viewing and Reported Perceived Immersion and Symptoms. Optometry and Vision Science. 89(7). 1068–1080. 62 indexed citations
11.
Huynh‐Thu, Quan, Marie-Neige Garcia, Filippo Speranza, Philip Corriveau, & Alexander Raake. (2010). Study of Rating Scales for Subjective Quality Assessment of High-Definition Video. IEEE Transactions on Broadcasting. 57(1). 1–14. 124 indexed citations
12.
Beltman, W.M., et al.. (2008). Applications of psychoacoustics to information technology products. The Journal of the Acoustical Society of America. 123(5_Supplement). 3160–3160. 2 indexed citations
13.
Baxter, Brent & Philip Corriveau. (2005). PC display resolution matched to the limits of visual acuity. Journal of the Society for Information Display. 13(2). 169–174. 4 indexed citations
14.
Vincent, A., et al.. (2003). Modeling of the Coding Gain of Joint Coding for Multi-Program Video Transmission. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 34(1-2). 101–109. 1 indexed citations
15.
Corriveau, Philip, A. Webster, Ann Marie Rohaly, & John M. Libert. (2000). <title>Video quality experts group: the quest for valid objective methods</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3959. 129–139. 10 indexed citations
16.
Corriveau, Philip, et al.. (1999). All subjective scales are not created equal: The effects of context on different scales. Signal Processing. 77(1). 1–9. 29 indexed citations
17.
Corriveau, Philip & A. Webster. (1999). VQEG Evaluation of Objective Methods of Video Quality Assessment. SMPTE Journal. 108(9). 645–648. 9 indexed citations
18.
Tam, Wa James, Lew B. Stelmach, & Philip Corriveau. (1998). <title>Psychovisual aspects of viewing stereoscopic video sequences</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3295. 226–235. 52 indexed citations
19.
Corriveau, Philip, et al.. (1996). Methods for Evaluation of Digital Television Picture Quality. 1–13. 4 indexed citations
20.
Stelmach, Lew B., et al.. (1996). Subjective Evaluation of the digital HDTV Grand Alliance System. 377–390.

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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