Ziya Arnavut

527 total citations
46 papers, 366 citations indexed

About

Ziya Arnavut is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ziya Arnavut has authored 46 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 12 papers in Signal Processing. Recurrent topics in Ziya Arnavut's work include Algorithms and Data Compression (32 papers), Advanced Data Compression Techniques (31 papers) and Image and Signal Denoising Methods (6 papers). Ziya Arnavut is often cited by papers focused on Algorithms and Data Compression (32 papers), Advanced Data Compression Techniques (31 papers) and Image and Signal Denoising Methods (6 papers). Ziya Arnavut collaborates with scholars based in United States and Russia. Ziya Arnavut's co-authors include Ferat Sahin, Mahmut Yavuz, Önder Uluyol, Spyros S. Magliveras, Hüseyin Koçak, Erion Plaku, Dilip Sarkar, Sunil Narumalani, Sergey Voronin and Ahmed E. Kamal and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Biomedical Engineering and Optical Engineering.

In The Last Decade

Ziya Arnavut

43 papers receiving 339 citations

Peers

Ziya Arnavut
John Backes United States
Övünç Kocabaş United States
Mourad Elhadef United Arab Emirates
John Backes United States
Ziya Arnavut
Citations per year, relative to Ziya Arnavut Ziya Arnavut (= 1×) peers John Backes

Countries citing papers authored by Ziya Arnavut

Since Specialization
Citations

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

Fields of papers citing papers by Ziya Arnavut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziya Arnavut

This figure shows the co-authorship network connecting the top 25 collaborators of Ziya Arnavut. A scholar is included among the top collaborators of Ziya Arnavut 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 Ziya Arnavut. Ziya Arnavut 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.
Arnavut, Ziya, et al.. (2020). Near-lossless Image Compression with Parity Reduction. 225–230. 1 indexed citations
2.
Arnavut, Ziya & Ahmed E. Kamal. (2018). Special Section on Enabling Technologies for Network-Based Applications. Computers & Electrical Engineering. 70. 1096–1097.
3.
Arnavut, Ziya, et al.. (2017). Splitting bits for lossless compression of microarray images. 32. 53–56. 1 indexed citations
5.
Arnavut, Ziya, et al.. (2015). The pseudo-distance technique for parallel lossless compression of color-mapped images. Computers & Electrical Engineering. 46. 456–470. 2 indexed citations
6.
Arnavut, Ziya, et al.. (2013). Lossless Compression of Dithered Images. IEEE photonics journal. 5(3). 6800508–6800508. 7 indexed citations
7.
Arnavut, Ziya, et al.. (2012). Losless EEG signal compression. PubMed. 1. 5879–5882. 1 indexed citations
8.
Arnavut, Ziya, et al.. (2012). A new context-model for the pseudo-distance technique in lossless compression of color-mapped images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8499. 84991O–84991O. 6 indexed citations
10.
Arnavut, Ziya. (2007). ECG Signal Compression Based on Burrows-Wheeler Transformation and Inversion Ranks of Linear Prediction. IEEE Transactions on Biomedical Engineering. 54(3). 410–418. 40 indexed citations
11.
Arnavut, Ziya & Ferat Sahin. (2006). Inversion Ranks for Lossless Compression of Color Palette Images. 3. 1–5. 2 indexed citations
12.
Arnavut, Ziya. (2004). Inversion Coding. The Computer Journal. 47(1). 46–57. 22 indexed citations
13.
Arnavut, Ziya. (2003). Generalization of the BWT transformation and inversion ranks. 447–447. 4 indexed citations
14.
Arnavut, Ziya, et al.. (2002). Block sorting transformations. 524–524. 2 indexed citations
15.
Arnavut, Ziya & Sunil Narumalani. (2002). Lossless compression of multispectral images using permutations. 1. 463–465. 2 indexed citations
16.
Arnavut, Ziya. (1999). Lossless compression of color-mapped images. Optical Engineering. 38(6). 1001–1001. 10 indexed citations
17.
Arnavut, Ziya. (1998). Permutations and prediction for lossless compression of multispectral TM images. IEEE Transactions on Geoscience and Remote Sensing. 36(3). 999–1003. 8 indexed citations
18.
Arnavut, Ziya, et al.. (1998). <title>Lossless compression of pseudocolor images</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3460. 299–308. 1 indexed citations
19.
Arnavut, Ziya. (1997). Application of inversions to lossless image compression. Optical Engineering. 36(4). 1028–1028. 4 indexed citations
20.
Arnavut, Ziya. (1996). Permutation techniques in lossless compression. Insecta mundi.

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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