K.L. Oehler

641 total citations
17 papers, 461 citations indexed

About

K.L. Oehler is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, K.L. Oehler has authored 17 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in K.L. Oehler's work include Advanced Data Compression Techniques (16 papers), Image and Signal Denoising Methods (6 papers) and Video Coding and Compression Technologies (4 papers). K.L. Oehler is often cited by papers focused on Advanced Data Compression Techniques (16 papers), Image and Signal Denoising Methods (6 papers) and Video Coding and Compression Technologies (4 papers). K.L. Oehler collaborates with scholars based in United States. K.L. Oehler's co-authors include Robert M. Gray, Pamela C. Cosman, E.A. Riskin, Richard A. Olshen, J. Liao and R. Talluri and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and IEEE Transactions on Image Processing.

In The Last Decade

K.L. Oehler

17 papers receiving 418 citations

Peers

K.L. Oehler
Hong Leung United States
Daniel E. Worrall Netherlands
H. Ertan Çetingül United States
Shuo Xiang United States
Xun Yuan China
Saurabh Singh United States
Omar El Ogri Morocco
M. Darnell United Kingdom
R.S.H. Istepanian United Kingdom
Hong Leung United States
K.L. Oehler
Citations per year, relative to K.L. Oehler K.L. Oehler (= 1×) peers Hong Leung

Countries citing papers authored by K.L. Oehler

Since Specialization
Citations

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

Fields of papers citing papers by K.L. Oehler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.L. Oehler. 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 K.L. Oehler. The network helps show where K.L. Oehler may publish in the future.

Co-authorship network of co-authors of K.L. Oehler

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

All Works

17 of 17 papers shown
1.
Oehler, K.L., et al.. (2012). Febrile seizures: risks, evaluation, and prognosis.. PubMed. 85(2). 149–53. 95 indexed citations
2.
Gray, Robert M., et al.. (2002). Bayes risk weighted tree-structured vector quantization with posterior estimation. 274–283. 10 indexed citations
3.
Oehler, K.L. & Robert M. Gray. (2002). Combining image classification and image compression using vector quantization. 2–11. 13 indexed citations
4.
Oehler, K.L., et al.. (2002). Macroblock quantizer selection for H.263 video coding. 1. 365–368. 7 indexed citations
6.
Oehler, K.L.. (2002). Region-based wavelet compression for very low bit rate video coding. 1. 573–576. 2 indexed citations
7.
Oehler, K.L., et al.. (2002). Classification using vector quantization. 439–445. 5 indexed citations
8.
Gray, Robert M., et al.. (2002). Combining tree-structured vector quantization with classification and regression trees. 1494–1498. 5 indexed citations
9.
Talluri, R., et al.. (1997). A robust, scalable, object-based video compression technique for very low bit-rate coding. IEEE Transactions on Circuits and Systems for Video Technology. 7(1). 221–233. 35 indexed citations
10.
Gray, Robert M., et al.. (1996). Bayes risk weighted vector quantization with posterior estimation for image compression and classification. IEEE Transactions on Image Processing. 5(2). 347–360. 54 indexed citations
11.
Oehler, K.L. & Robert M. Gray. (1995). Combining image compression and classification using vector quantization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 17(5). 461–473. 98 indexed citations
12.
Gray, Robert M., Pamela C. Cosman, & K.L. Oehler. (1993). Incorporating visual factors into vector quantizers for image compression. MIT Press eBooks. 35–52. 8 indexed citations
13.
Oehler, K.L.. (1993). Image compression and classification using vector quantization. 13 indexed citations
14.
Oehler, K.L. & Robert M. Gray. (1993). Mean-gain-shape vector quantization. IEEE International Conference on Acoustics Speech and Signal Processing. 241–244 vol.5. 21 indexed citations
15.
Cosman, Pamela C., K.L. Oehler, E.A. Riskin, & Robert M. Gray. (1993). Using vector quantization for image processing. Proceedings of the IEEE. 81(9). 1326–1341. 72 indexed citations
16.
Oehler, K.L., E.A. Riskin, & Robert M. Gray. (1991). Unbalanced tree-growing algorithms for practical image compression. 33. 2293–2296 vol.4. 6 indexed citations
17.
Cosman, Pamela C., et al.. (1991). <title>Tree-structured vector quantization with input-weighted distortion measures</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1605. 162–171. 4 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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