Matthew Boutell

3.2k total citations · 1 hit paper
32 papers, 2.2k citations indexed

About

Matthew Boutell is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Matthew Boutell has authored 32 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 13 papers in Media Technology and 4 papers in Artificial Intelligence. Recurrent topics in Matthew Boutell's work include Image Retrieval and Classification Techniques (23 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Remote-Sensing Image Classification (12 papers). Matthew Boutell is often cited by papers focused on Image Retrieval and Classification Techniques (23 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Remote-Sensing Image Classification (12 papers). Matthew Boutell collaborates with scholars based in United States, Japan and France. Matthew Boutell's co-authors include Jiebo Luo, Christopher M. Brown, Xipeng Shen, Christopher C. Brown, Brian Ayers, Juan Luo, Charity Brown, Amit Singhal, David Crandall and Lisa C. Kaczmarczyk and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Signal Processing Magazine.

In The Last Decade

Matthew Boutell

29 papers receiving 2.1k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning multi-label scene classification

2004 1.6k citations Matthew Boutell, Jiebo Luo et al. Pattern Recognition profile →

Peers

Countries citing papers authored by Matthew Boutell

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Boutell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Boutell

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Training Artificial Neural Networks to Beat StarCraft II 2023 ·Rose-Hulman Scholar (Rose–Hulman Institute of Technology) ·Matthew Boutell, James W. Maher, (unknown)	1
2	Choosing Face-to-face or Video-based Instruction in a Mobile App Development Course 2017 ·Rose-Hulman Scholar (Rose–Hulman Institute of Technology) ·Matthew Boutell	1
3	A Simulator for Teaching Robotics Programming Using the iRobot Create 2010 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Matthew Boutell	1
4	A Multidisciplinary Robotics Minor 2010 ·David Fisher, Matthew Boutell, (unknown), Stephen F. Chenoweth	5
5	Home Interior Classification using SIFT Keypoint Histograms 2007 ·Rose-Hulman Scholar (Rose–Hulman Institute of Technology) ·Brian Ayers, Matthew Boutell	15
6	Factor Graphs for Region-based Whole-scene Classification 2006 ·Rose-Hulman Scholar (Rose–Hulman Institute of Technology) ·Matthew Boutell, Jiebo Luo, Christopher M. Brown	16
7	Pictures Are Not Taken in a Vacuum 2006 ·Jiebo Luo, Matthew Boutell, Christopher M. Brown	8
8	Using Semantic Features for Scene Classification: how Good do they Need to Be? 2006 ·Rose-Hulman Scholar (Rose–Hulman Institute of Technology) ·Matthew Boutell, (unknown), Jiebo Luo, Christopher M. Brown	13
9	Automatic image orientation detection via confidence-based integration of low-level and semantic cues 2005 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Jiebo Luo, Matthew Boutell	33
10	Beyond pixels: Exploiting camera metadata for photo classification 2005 ·Pattern Recognition ·Matthew Boutell, Jiebo Luo	66
11	A Probabilistic Approach to Image Orientation Detection via Confidence-Based Integration of Low-Level and Semantic Cues 2005 ·Jiebo Luo, Matthew Boutell	10
12	Improved Semantic Region Labeling Based on Scene Context 2005 ·Matthew Boutell, Jiebo Luo, Christopher M. Brown	11
13	Photo-centric multimedia authoring enhanced by cross-media indexing 2005 ·Jiebo Luo, Alexander C. Loui, Matthew Boutell, (unknown)	2
14	A generalized temporal context model for classifying image collections 2005 ·Multimedia Systems ·Matthew Boutell, Jiebo Luo, Christopher M. Brown	10
15	Photo classification by integrating image content and camera metadata 2004 ·Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. ·Matthew Boutell, Jiebo Luo	27
16	Learning multi-label scene classification1 2004 ·Pattern Recognition* ·Matthew Boutell	97
17	Bayesian fusion of camera metadata cues in semantic scene classification 2004 ·Matthew Boutell, Jiebo Luo	47
18	Learning multi-label scene classification breakdown → 2004 ·Pattern Recognition ·Matthew Boutell, Jiebo Luo, Xipeng Shen, Christopher M. Brown	1644
19	Psychophysical study of image orientation perception 2003 ·Spatial Vision ·(unknown), Matthew Boutell, Jiebo Luo, Amit Singhal, David Crandall	16
20	Review of the State of the Art in Semantic Scene Classification 2002 ·UR Research (University of Rochester) ·Matthew Boutell, Charity Brown, Juan Luo	13

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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