David A. Clausi

9.5k total citations · 1 hit paper
275 papers, 6.9k citations indexed

About

David A. Clausi is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science and Media Technology. According to data from OpenAlex, David A. Clausi has authored 275 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Computer Vision and Pattern Recognition, 67 papers in Atmospheric Science and 66 papers in Media Technology. Recurrent topics in David A. Clausi's work include Arctic and Antarctic ice dynamics (55 papers), Medical Image Segmentation Techniques (41 papers) and Remote-Sensing Image Classification (41 papers). David A. Clausi is often cited by papers focused on Arctic and Antarctic ice dynamics (55 papers), Medical Image Segmentation Techniques (41 papers) and Remote-Sensing Image Classification (41 papers). David A. Clausi collaborates with scholars based in Canada, China and Brazil. David A. Clausi's co-authors include Alexander Wong, Huawu Deng, Linlin Xu, Qiyao Yu, Akshaya Mishra, Alexander Wong, M. Ed Jernigan, John Zelek, Paul Fieguth and A. K. Qin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

David A. Clausi

261 papers receiving 6.5k citations

Hit Papers

An analysis of co-occurrence texture statistics as a func... 2002 2026 2010 2018 2002 250 500 750
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.

  1. An analysis of co-occurrence texture statistics as a function of grey level quantization
    2002 757 citations David A. Clausi profile →

Peers

David A. Clausi
Bernd Jähne Germany
Junyu Dong China
Jinchang Ren United Kingdom
John A. Barron United States
Jing Yao China
Chang Huang China
Bing Zhang China
Weimin Huang Canada
I. Dinstein Israel
Feng Xu China
Bernd Jähne Germany
David A. Clausi
Citations per year, relative to David A. Clausi David A. Clausi (= 1×) peers Bernd Jähne

Countries citing papers authored by David A. Clausi

Since Specialization
Citations

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

Fields of papers citing papers by David A. Clausi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Clausi. 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 David A. Clausi. The network helps show where David A. Clausi may publish in the future.

Co-authorship network of co-authors of David A. Clausi

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Clausi. A scholar is included among the top collaborators of David A. Clausi 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 David A. Clausi. David A. Clausi 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.
Clausi, David A., et al.. (2025). Fusing Ice Surface Temperature With the AI4Arctic Dataset for Improved Deep Learning-Based Sea Ice Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 24766–24782. 1 indexed citations
2.
Chen, Xinwei, et al.. (2025). A Weakly Supervised Learning Approach for Sea Ice Stage of Development Classification From AI4Arctic Sea Ice Challenge Dataset. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–15.
3.
Chen, Xinwei, et al.. (2024). MMSeaIce: a collection of techniques for improving sea ice mapping with a multi-task model. ˜The œcryosphere. 18(4). 1621–1632. 7 indexed citations
4.
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Xu, Linlin, et al.. (2023). Local and Global Spatial Information for Land Cover Semisupervised Classification of Complex Polarimetric SAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 3892–3904. 9 indexed citations
6.
Chen, Yuhao, et al.. (2023). Rink-Agnostic Hockey Rink Registration. 73–81. 1 indexed citations
7.
Fang, Yuan, et al.. (2023). Unsupervised Bayesian Subpixel Mapping Autoencoder Network for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–12. 1 indexed citations
8.
Chen, Yuhao, et al.. (2023). Jersey Number Recognition using Keyframe Identification from Low-Resolution Broadcast Videos. 123–130. 5 indexed citations
9.
10.
Fang, Yuan, et al.. (2022). BCUN: Bayesian Fully Convolutional Neural Network for Hyperspectral Spectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 20 indexed citations
11.
Clausi, David A., et al.. (2019). Contextual Classification of Sea-Ice Types Using Compact Polarimetric SAR Data. IEEE Transactions on Geoscience and Remote Sensing. 57(10). 7476–7491. 29 indexed citations
12.
Yazdi, Mehran, et al.. (2017). Soccer Video Structure Analysis by Parallel Feature Fusion Network and Hidden-to-Observable Transferring Markov Model. IEEE Access. 5. 27322–27336. 13 indexed citations
13.
Cho, Daniel, et al.. (2016). Numerical Demultiplexing of Color Image Sensor Measurements via Non-linear Random Forest Modeling. Scientific Reports. 6(1). 28665–28665. 10 indexed citations
14.
15.
Haider, Shahid A., Daniel Cho, Robert Amelard, Alexander Wong, & David A. Clausi. (2014). Enhanced classification of malignant melanoma lesions via the integration of physiological features from dermatological photographs. PubMed. 2014. 6455–8. 12 indexed citations
16.
Schwartz, Steven, Alexander Wong, & David A. Clausi. (2012). Saliency-guided compressive fluorescence microscopy. PubMed. 11. 4365–4368. 2 indexed citations
17.
Wong, Alexander, Akshaya Mishra, Paul Fieguth, & David A. Clausi. (2010). Sparse Reconstruction of Breast MRI Using Homotopic <formula formulatype="inline"><tex Notation="TeX">$L_0$</tex></formula> Minimization in a Regional Sparsified Domain. IEEE Transactions on Biomedical Engineering. 60(3). 743–752. 27 indexed citations
18.
Qin, A. K. & David A. Clausi. (2010). Multivariate Image Segmentation Using Semantic Region Growing With Adaptive Edge Penalty. IEEE Transactions on Image Processing. 19(8). 2157–2170. 58 indexed citations
19.
Mishra, Akshaya, et al.. (2008). Improved interactive medical image segmentation using Enhanced Intelligent Scissors (EIS). PubMed. 2008. 3083–3086. 26 indexed citations
20.
Deng, Huawu & David A. Clausi. (2004). Gaussian MRF rotation-invariant features for image classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(7). 951–955. 116 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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