Shawn Newsam

7.8k total citations · 2 hit papers
79 papers, 5.1k citations indexed

About

Shawn Newsam is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Shawn Newsam has authored 79 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Computer Vision and Pattern Recognition, 26 papers in Media Technology and 10 papers in Signal Processing. Recurrent topics in Shawn Newsam's work include Advanced Image and Video Retrieval Techniques (40 papers), Image Retrieval and Classification Techniques (34 papers) and Remote-Sensing Image Classification (22 papers). Shawn Newsam is often cited by papers focused on Advanced Image and Video Retrieval Techniques (40 papers), Image Retrieval and Classification Techniques (34 papers) and Remote-Sensing Image Classification (22 papers). Shawn Newsam collaborates with scholars based in United States, China and Portugal. Shawn Newsam's co-authors include Yi Yang, Yi Yang, Yi Yang, Zhenfeng Shao, Yi Zhu, Weixun Zhou, Congmin Li, B.S. Manjunath, Chandrika Kamath and Jingfeng Huang and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and BMC Bioinformatics.

In The Last Decade

Shawn Newsam

78 papers receiving 4.9k citations

Hit Papers

align trajectories

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.

Bag-of-visual-words and spatial extensions for land-use classification

2010 2.1k citations Shawn Newsam et al. profile →
PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval

2018 408 citations Shawn Newsam, Zhenfeng Shao et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shawn Newsam United States	25	3.4k	2.8k	946	798	443	79	5.1k
Liangpei Zhang China	35	2.7k 0.8×	4.1k 1.5×	526 0.6×	1.7k 2.1×	613 1.4×	68	5.4k
Heng-Chao Li China	35	1.8k 0.5×	3.7k 1.3×	760 0.8×	1.9k 2.4×	478 1.1×	199	6.1k
Yunsong Li China	49	3.8k 1.1×	5.4k 1.9×	1.1k 1.2×	1.6k 2.0×	467 1.1×	421	8.5k
Qian Zhang China	28	1.6k 0.5×	1.0k 0.4×	485 0.5×	399 0.5×	307 0.7×	175	3.8k
Ye Zhang China	30	1.4k 0.4×	1.9k 0.7×	647 0.7×	905 1.1×	261 0.6×	312	3.7k
Xiwen Yao China	34	3.5k 1.0×	2.9k 1.0×	1.1k 1.1×	875 1.1×	337 0.8×	76	5.3k
Mengmeng Zhang China	30	1.3k 0.4×	3.0k 1.0×	747 0.8×	1.4k 1.7×	417 0.9×	164	4.5k
Xiaoqiang Lu China	55	5.9k 1.8×	4.9k 1.7×	1.7k 1.8×	2.1k 2.7×	532 1.2×	246	9.5k
Saurabh Prasad United States	33	1.6k 0.5×	3.9k 1.4×	763 0.8×	2.0k 2.6×	686 1.5×	139	5.3k
Liang Xiao China	30	2.2k 0.7×	2.7k 0.9×	579 0.6×	857 1.1×	189 0.4×	411	4.6k

Countries citing papers authored by Shawn Newsam

Since Specialization

Citations

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

Fields of papers citing papers by Shawn Newsam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shawn Newsam

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Dias, Philipe, et al.. (2022). Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–18. 7 indexed citations

2.

Newsam, Shawn, et al.. (2022). CoSSD - An end-to-end framework for multi-instance source separation and detection. 2022 30th European Signal Processing Conference (EUSIPCO). 150–154.

3.

Zhang, Ruiqian, Shawn Newsam, Zhenfeng Shao, et al.. (2021). Multi-scale adversarial network for vehicle detection in UAV imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 180. 283–295. 49 indexed citations

4.

Deng, Xueqing, et al.. (2021). Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. 2159–2168. 24 indexed citations

5.

Zhu, Yi & Shawn Newsam. (2019). Motion-Aware Feature for Improved Video Anomaly Detection.. arXiv (Cornell University). 270. 4 indexed citations

6.

Zhu, Yi, Xueqing Deng, & Shawn Newsam. (2019). Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images. IEEE Transactions on Multimedia. 21(7). 1825–1838. 35 indexed citations

7.

Zhu, Yi, Karan Sapra, Fitsum A. Reda, et al.. (2019). Improving Semantic Segmentation via Video Propagation and Label Relaxation. 8848–8857. 247 indexed citations

8.

Zhu, Yi & Shawn Newsam. (2017). Efficient Action Detection in Untrimmed Videos via Multi-task Learning. 197–206. 16 indexed citations

9.

Deng, Xueqing & Shawn Newsam. (2017). Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use. 1–8. 9 indexed citations

10.

Zhu, Yi & Shawn Newsam. (2015). Land use classification using convolutional neural networks applied to ground-level images. 1–4. 36 indexed citations

11.

Newsam, Shawn, et al.. (2013). Camera-based visibility estimation: Incorporating multiple regions and unlabeled observations. Ecological Informatics. 23. 62–68. 11 indexed citations

12.

Ghinita, Gabriel, Jennifer Neville, & Shawn Newsam. (2012). Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks. 1 indexed citations

13.

Ghinita, Gabriel, Jennifer Neville, & Shawn Newsam. (2012). Proceedings of the 5th International Workshop on Location-Based Social Networks. 2 indexed citations

14.

Newsam, Shawn, et al.. (2010). CBGIR. 526–527. 3 indexed citations

15.

Newsam, Shawn & Yi Yang. (2008). Integrating gazetteers and remote sensed imagery. 1–10. 8 indexed citations

16.

Wright, Jeff R., Stefano Carpin, Alberto Cerpa, et al.. (2007). Collaboratory: An Open Source Teaching and Learning Facility for Computer Science and Engineering Education. 368–373. 6 indexed citations

17.

Newsam, Shawn & Yang Yang. (2007). Comparing global and interest point descriptors for similarity retrieval in remote sensed imagery. 1–8. 14 indexed citations

18.

Newsam, Shawn & B.S. Manjunath. (2005). Normalized Texture Motifs and Their Application to Statistical Object Modeling. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 45–45. 3 indexed citations

19.

Kamath, Chandrika, et al.. (2005). Salient points for tracking moving objects in video. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5685. 442–442. 8 indexed citations

20.

Cantú‐Paz, Erick, Shawn Newsam, & Chandrika Kamath. (2004). Feature selection in scientific applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 788–793. 59 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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