Chad Carson

3.3k total citations · 1 hit paper
13 papers, 1.5k citations indexed

About

Chad Carson is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Signal Processing. According to data from OpenAlex, Chad Carson has authored 13 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 2 papers in Information Systems and 2 papers in Signal Processing. Recurrent topics in Chad Carson's work include Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Medical Image Segmentation Techniques (3 papers). Chad Carson is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Medical Image Segmentation Techniques (3 papers). Chad Carson collaborates with scholars based in United States and Israel. Chad Carson's co-authors include Hayit Greenspan, Jitendra Malik, Serge Belongie, Omar Alonso, Ray R. Larson, Tsz-Wing Leung, Christoph Bregler, Richard G. Baraniuk, David Forsyth and Margaret M. Fleck and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, UC Berkeley and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

Chad Carson

11 papers receiving 1.4k citations

Hit Papers

Blobworld: image segmentation using expectation-maximizat... 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad Carson United States 7 1.4k 285 225 83 41 13 1.5k
S. Ravi Kumar United States 5 1.1k 0.8× 252 0.9× 107 0.5× 67 0.8× 19 0.5× 9 1.2k
M. Gorkani United States 6 2.2k 1.6× 245 0.9× 212 0.9× 347 4.2× 39 1.0× 7 2.3k
Alessia De Rosa Italy 17 1.3k 0.9× 318 1.1× 146 0.6× 117 1.4× 49 1.2× 51 1.4k
Mark J. Huiskes Netherlands 8 1.7k 1.2× 105 0.4× 443 2.0× 81 1.0× 59 1.4× 15 1.8k
Ling‐Hwei Chen Taiwan 15 673 0.5× 130 0.5× 113 0.5× 128 1.5× 19 0.5× 57 805
Saeid Belkasim United States 14 671 0.5× 113 0.4× 120 0.5× 63 0.8× 29 0.7× 62 876

Countries citing papers authored by Chad Carson

Since Specialization
Citations

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

Fields of papers citing papers by Chad Carson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Carson

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

All Works

13 of 13 papers shown
1.
Carson, Chad, et al.. (2022). Exit Strategies For Business School Deans. 17. 1 indexed citations
2.
Alonso, Omar, et al.. (2010). Detecting Uninteresting Content in Text Streams. 35 indexed citations
3.
Carson, Chad, et al.. (2005). Creating a Customized Access Method for Blobworld. 82–82. 3 indexed citations
4.
Belongie, Serge, Chad Carson, Hayit Greenspan, & Jitendra Malik. (2002). Color- and texture-based image segmentation using EM and its application to content-based image retrieval. 675–682. 283 indexed citations
5.
Malik, Jitendra, David Forsyth, Margaret M. Fleck, et al.. (2002). Finding objects in image databases by grouping. 1. 761–764. 4 indexed citations
6.
Carson, Chad, Serge Belongie, Hayit Greenspan, & Jitendra Malik. (2002). Blobworld: image segmentation using expectation-maximization and its application to image querying. IEEE Transactions on Pattern Analysis and Machine Intelligence. 24(8). 1026–1038. 934 indexed citations breakdown →
7.
Manjunath, B.S., David Forsyth, Yining Deng, et al.. (2000). Image Retrieval in Digital Libraries. 586–610. 1 indexed citations
8.
Malik, Jitendra, Chad Carson, & Serge Belongie. (1999). Region-Based Image Retrieval (Eingeladener Vortrag). 152–154. 1 indexed citations
9.
Larson, Ray R. & Chad Carson. (1999). Information Access for a Digital Library: Cheshire II and the Berkeley Environmental Digital Library.. 36. 6 indexed citations
10.
Belongie, Serge, Chad Carson, Hayit Greenspan, & Jitendra Malik. (1998). Color- and Texture-based Image Segmentation Using the Expectation-Maximization Algorithm and its Application to Content-Based Image Retrieval.. 675–682. 39 indexed citations
11.
Carson, Chad, Serge Belongie, Hayit Greenspan, & Jitendra Malik. (1997). Region-based image querying. 42–49. 179 indexed citations
12.
Belongie, Serge, Chad Carson, Hayit Greenspan, & Jitendra Malik. (1997). Recognition of Images in Large Databases Using a Learning Framework. UC Berkeley. 37 indexed citations
13.
Carson, Chad & Richard G. Baraniuk. (1996). Window design for signal-dependent spectrogram using optimal kernel techniques. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2846. 296–296. 1 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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