Matthew Flagg

673 total citations
11 papers, 471 citations indexed

About

Matthew Flagg is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology. According to data from OpenAlex, Matthew Flagg has authored 11 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Human-Computer Interaction and 4 papers in Media Technology. Recurrent topics in Matthew Flagg's work include Interactive and Immersive Displays (6 papers), Augmented Reality Applications (5 papers) and Advanced Optical Imaging Technologies (4 papers). Matthew Flagg is often cited by papers focused on Interactive and Immersive Displays (6 papers), Augmented Reality Applications (5 papers) and Advanced Optical Imaging Technologies (4 papers). Matthew Flagg collaborates with scholars based in United States, Singapore and United Kingdom. Matthew Flagg's co-authors include James M. Rehg, David Tsai, Atsushi Nakazawa, Rahul Sukthankar, Tat‐Jen Cham, Jay Summet, Sing Bing Kang, Qiushuang Zhang, Atsushi Nakazawa and Irfan Essa and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Visualization and Computer Graphics and SMARTech Repository (Georgia Institute of Technology).

In The Last Decade

Matthew Flagg

11 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Flagg United States	9	429	103	41	37	36	11	471
Steven Zhiying Zhou Singapore	11	380 0.9×	84 0.8×	70 1.7×	26 0.7×	58 1.6×	23	435
Peter Mohr Austria	10	221 0.5×	169 1.6×	23 0.6×	19 0.5×	27 0.8×	18	276
Christian Spagno Switzerland	6	301 0.7×	172 1.7×	71 1.7×	102 2.8×	36 1.0×	10	377
Kai Strehlke Switzerland	3	276 0.6×	142 1.4×	63 1.5×	94 2.5×	34 0.9×	4	333
Gaku Narita Japan	5	224 0.5×	63 0.6×	22 0.5×	33 0.9×	108 3.0×	5	293
Hou-Ning Hu Taiwan	6	430 1.0×	91 0.9×	34 0.8×	7 0.2×	94 2.6×	8	484
Adam W. Harley United States	6	183 0.4×	38 0.4×	12 0.3×	22 0.6×	41 1.1×	17	235
Stephan Liwicki United Kingdom	9	264 0.6×	112 1.1×	33 0.8×	5 0.1×	40 1.1×	18	361
Mariko Isogawa Japan	10	171 0.4×	58 0.6×	19 0.5×	11 0.3×	16 0.4×	38	257
Nikolai Smolyanskiy United States	7	164 0.4×	51 0.5×	22 0.5×	7 0.2×	75 2.1×	7	266

Countries citing papers authored by Matthew Flagg

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Flagg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Flagg

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Flagg. A scholar is included among the top collaborators of Matthew Flagg 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 Flagg. Matthew Flagg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Flagg, Matthew & James M. Rehg. (2012). Video-Based Crowd Synthesis. IEEE Transactions on Visualization and Computer Graphics. 19(11). 1935–1947. 16 indexed citations

2.

Tsai, David, Matthew Flagg, Atsushi Nakazawa, & James M. Rehg. (2011). Motion Coherent Tracking Using Multi-label MRF Optimization. International Journal of Computer Vision. 100(2). 190–202. 153 indexed citations

3.

Tsai, David, Matthew Flagg, & James M. Rehg. (2010). Motion Coherent Tracking with Multi-label MRF optimization. 56.1–56.11. 126 indexed citations

4.

Flagg, Matthew, Atsushi Nakazawa, Qiushuang Zhang, et al.. (2009). Human video textures. 199–206. 28 indexed citations

5.

Summet, Jay, Matthew Flagg, Tat‐Jen Cham, James M. Rehg, & Rahul Sukthankar. (2007). Shadow Elimination and Blinding Light Suppression for Interactive Projected Displays. IEEE Transactions on Visualization and Computer Graphics. 13(3). 508–517. 10 indexed citations

6.

Flagg, Matthew, Jay Summet, & James M. Rehg. (2006). Improving the Speed of Virtual Rear Projection: A GPU-Centric Architecture. 3. 105–105. 9 indexed citations

7.

Summet, Jay, et al.. (2006). GVU-PROCAMS. 141–144. 2 indexed citations

8.

Flagg, Matthew & James M. Rehg. (2006). Projector-guided painting. 235–244. 69 indexed citations

9.

Flagg, Matthew & James M. Rehg. (2005). Oil Painting Assistance Using Projected Light: Bridging the Gap Between Digital and Physical Art. SMARTech Repository (Georgia Institute of Technology). 1 indexed citations

10.

Flagg, Matthew, et al.. (2004). A flexible projector-camera system for multi-planar displays. 2. 165–172. 44 indexed citations

11.

Rehg, James M., Matthew Flagg, Tat‐Jen Cham, Rahul Sukthankar, & Gita Sukthankar. (2004). Projected light displays using visual feedback. 2. 926–932. 13 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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