Omid E. Kia

734 total citations
13 papers, 498 citations indexed

About

Omid E. Kia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Omid E. Kia has authored 13 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 2 papers in Media Technology. Recurrent topics in Omid E. Kia's work include Algorithms and Data Compression (8 papers), Advanced Data Compression Techniques (6 papers) and Image Retrieval and Classification Techniques (5 papers). Omid E. Kia is often cited by papers focused on Algorithms and Data Compression (8 papers), Advanced Data Compression Techniques (6 papers) and Image Retrieval and Classification Techniques (5 papers). Omid E. Kia collaborates with scholars based in United States and Finland. Omid E. Kia's co-authors include David Doermann, Huiping Li, Azriel Rosenfeld, J. Sauvola and Rama Chellappa and has published in prestigious journals such as IEEE Transactions on Image Processing, Image and Vision Computing and Computer Vision and Image Understanding.

In The Last Decade

Omid E. Kia

11 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omid E. Kia United States 7 478 105 60 29 14 13 498
Shiaw-Shian Yu Taiwan 7 273 0.6× 72 0.7× 52 0.9× 41 1.4× 7 0.5× 15 305
Darko Brodić Serbia 9 167 0.3× 67 0.6× 42 0.7× 21 0.7× 12 0.9× 65 268
Bor-Chun Chen Taiwan 9 297 0.6× 61 0.6× 58 1.0× 25 0.9× 3 0.2× 17 318
Yin-Hsi Kuo Taiwan 9 302 0.6× 29 0.3× 42 0.7× 30 1.0× 5 0.4× 27 326
Ramanujan S. Kashi United States 9 260 0.5× 40 0.4× 88 1.5× 30 1.0× 13 0.9× 15 317
Shuren Qi China 9 223 0.5× 62 0.6× 35 0.6× 13 0.4× 4 0.3× 21 263
Yasuaki Nakano Japan 9 252 0.5× 40 0.4× 34 0.6× 30 1.0× 18 1.3× 16 294
John P. Eakins United Kingdom 9 349 0.7× 24 0.2× 49 0.8× 20 0.7× 5 0.4× 18 382
Seiichi Gohshi Japan 9 162 0.3× 51 0.5× 27 0.5× 61 2.1× 9 0.6× 50 236
Zenghui Sun China 5 383 0.8× 172 1.6× 108 1.8× 17 0.6× 16 1.1× 7 425

Countries citing papers authored by Omid E. Kia

Since Specialization
Citations

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

Fields of papers citing papers by Omid E. Kia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Omid E. Kia. 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 Omid E. Kia. The network helps show where Omid E. Kia may publish in the future.

Co-authorship network of co-authors of Omid E. Kia

This figure shows the co-authorship network connecting the top 25 collaborators of Omid E. Kia. A scholar is included among the top collaborators of Omid E. Kia 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 Omid E. Kia. Omid E. Kia 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.
Sauvola, J. & Omid E. Kia. (2002). Hyperdocument management for compression, transmission and processing. 2916. 537–542. 1 indexed citations
2.
Kia, Omid E. & David Doermann. (2002). OCR-based rate-distortion analysis of residual coding. 3. 690–693.
3.
Doermann, David & Omid E. Kia. (2002). Hybrid thinning through reconstruction. 2. 632–635. 1 indexed citations
4.
Kia, Omid E. & David Doermann. (2002). Structure-preserving document image compression. 1. 193–196.
5.
Doermann, David, Huiping Li, & Omid E. Kia. (2002). The detection of duplicates in document image databases. 1. 314–318. 19 indexed citations
6.
Doermann, David, et al.. (2000). Automatic text detection and tracking in digital video. IEEE Transactions on Image Processing. 9(1). 147–156. 402 indexed citations
7.
Kia, Omid E. & David Doermann. (2000). Residual coding in document image compression. IEEE Transactions on Image Processing. 9(6). 961–969. 7 indexed citations
8.
Li, Huiping, Omid E. Kia, & David Doermann. (1999). Text enhancement in digital video. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3651. 2–2. 19 indexed citations
9.
Kia, Omid E., et al.. (1998). Symbolic Compression and Processing of Document Images. Computer Vision and Image Understanding. 70(3). 335–349. 9 indexed citations
10.
Doermann, David, Huiping Li, & Omid E. Kia. (1998). The detection of duplicates in document image databases. Image and Vision Computing. 16(12-13). 907–920. 22 indexed citations
11.
Kia, Omid E.. (1997). Document image compression and analysis. Defense Technical Information Center (DTIC). 11 indexed citations
12.
Kia, Omid E. & David Doermann. (1996). Structural compression for document analysis. 664–668 vol.3. 6 indexed citations
13.
Kia, Omid E., David Doermann, & Rama Chellappa. (1996). <title>Compressed-domain document retrieval and analysis</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2916. 176–187. 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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