Fayez M. Idris

609 total citations
19 papers, 401 citations indexed

About

Fayez M. Idris is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Fayez M. Idris has authored 19 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Fayez M. Idris's work include Advanced Data Compression Techniques (16 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Image Retrieval and Classification Techniques (9 papers). Fayez M. Idris is often cited by papers focused on Advanced Data Compression Techniques (16 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Image Retrieval and Classification Techniques (9 papers). Fayez M. Idris collaborates with scholars based in Canada, Jordan and Saudi Arabia. Fayez M. Idris's co-authors include S. Panchanathan, Sethuraman Panchanathan, S. Panchanathan, Mrinal Mandal and Omid Fatemi and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Image and Vision Computing and IEEE Transactions on Consumer Electronics.

In The Last Decade

Fayez M. Idris

16 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fayez M. Idris Canada	8	391	77	30	16	11	19	401
Yi-Shin Tung Taiwan	7	224 0.6×	80 1.0×	17 0.6×	28 1.8×	13 1.2×	15	246
Shi-Yong Neo Singapore	9	281 0.7×	47 0.6×	64 2.1×	19 1.2×	22 2.0×	21	308
Joséph John O'Ruanaidh Switzerland	5	397 1.0×	47 0.6×	12 0.4×	24 1.5×	7 0.6×	5	405
Fuzong Lin China	9	442 1.1×	203 2.6×	38 1.3×	18 1.1×	39 3.5×	18	460
Masaaki Fujiyoshi Japan	10	382 1.0×	48 0.6×	50 1.7×	17 1.1×	2 0.2×	92	406
Yoshiyuki Yashima Japan	10	356 0.9×	268 3.5×	16 0.5×	26 1.6×	13 1.2×	56	383
H.-J. Zhang China	6	297 0.8×	69 0.9×	37 1.2×	30 1.9×	32 2.9×	6	320
R. Lancini Italy	10	300 0.8×	164 2.1×	43 1.4×	8 0.5×	6 0.5×	49	324
Kazuto Kamikura Japan	8	350 0.9×	264 3.4×	7 0.2×	19 1.2×	9 0.8×	30	362
Cristina Gomila United States	12	613 1.6×	472 6.1×	13 0.4×	30 1.9×	12 1.1×	26	616

Countries citing papers authored by Fayez M. Idris

Since Specialization

Citations

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

Fields of papers citing papers by Fayez M. Idris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fayez M. Idris. 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 Fayez M. Idris. The network helps show where Fayez M. Idris may publish in the future.

Co-authorship network of co-authors of Fayez M. Idris

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

All Works

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19 of 19 papers shown

Idris, Fayez M., et al.. (2011). A Lexicon of Connected Components for Arabic Optical Text Recognition. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 4 indexed citations

Idris, Fayez M., et al.. (2007). Building an advanced invariant real-time human tracking system. Computer Science and Information Systems. 4(1). 57–75.

Idris, Fayez M., et al.. (2007). Detection Of Breast Cancer In The Jpeg2000 Domain. Zenodo (CERN European Organization for Nuclear Research). 1(8). 512–515. 2 indexed citations

Idris, Fayez M. & S. Panchanathan. (2002). Associative memory architecture for video compression. 3. 93–96.

Panchanathan, Sethuraman & Fayez M. Idris. (2000). Image and video indexing using vector quantization. 166–166. 1 indexed citations

Idris, Fayez M., et al.. (1999). A critical evaluation of image and video indexing techniques in the compressed domain. Image and Vision Computing. 17(7). 513–529. 108 indexed citations

Idris, Fayez M. & S. Panchanathan. (1998). Frame-Adaptive Vector Quantization. Journal of Visual Communication and Image Representation. 9(2). 107–118. 1 indexed citations

Idris, Fayez M. & S. Panchanathan. (1997). Review of Image and Video Indexing Techniques. Journal of Visual Communication and Image Representation. 8(2). 146–166. 158 indexed citations

Idris, Fayez M. & S. Panchanathan. (1997). Storage and Retrieval of Compressed Images Using Wavelet Vector Quantization. Journal of Visual Languages & Computing. 8(3). 289–301. 12 indexed citations

10.

Idris, Fayez M. & Sethuraman Panchanathan. (1997). <title>Detection of camera operations in compressed video sequences</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3022. 493–505.

11.

Mandal, Mrinal, Fayez M. Idris, & Sethuraman Panchanathan. (1997). <title>Image and video indexing in the compressed domain</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3229. 2–13. 5 indexed citations

12.

Idris, Fayez M. & S. Panchanathan. (1997). Image and video indexing using vector quantization. Machine Vision and Applications. 10(2). 43–50. 22 indexed citations

13.

Idris, Fayez M. & Sethuraman Panchanathan. (1997). Spatio-temporal indexing of vector quantized video sequences. IEEE Transactions on Circuits and Systems for Video Technology. 7(5). 728–740. 7 indexed citations

14.

Idris, Fayez M. & Sethuraman Panchanathan. (1996). <title>Indexing of compressed video sequences</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2670. 247–253. 7 indexed citations

15.

Idris, Fayez M. & S. Panchanathan. (1995). Storage and retrieval of compressed images. IEEE Transactions on Consumer Electronics. 41(3). 937–941. 31 indexed citations

16.

Idris, Fayez M. & Sethuraman Panchanathan. (1995). Image indexing using vector quantization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2420. 373–373. 19 indexed citations

17.

Idris, Fayez M. & Sethuraman Panchanathan. (1995). <title>Image indexing using wavelet vector quantization</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2606. 269–275. 13 indexed citations

18.

Fatemi, Omid, Fayez M. Idris, & S. Panchanathan. (1994). FPGA implementation of the LRU algorithm for video compression. IEEE Transactions on Consumer Electronics. 40(3). 337–344. 6 indexed citations

19.

Idris, Fayez M. & Sethuraman Panchanathan. (1993). <title>Image sequence coding using frame-adaptive vector quantization</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2094. 941–952. 5 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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