Amir Said

8.3k total citations · 1 hit paper
111 papers, 5.6k citations indexed

About

Amir Said is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Amir Said has authored 111 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Vision and Pattern Recognition, 59 papers in Signal Processing and 25 papers in Artificial Intelligence. Recurrent topics in Amir Said's work include Advanced Data Compression Techniques (52 papers), Image and Signal Denoising Methods (26 papers) and Video Coding and Compression Technologies (24 papers). Amir Said is often cited by papers focused on Advanced Data Compression Techniques (52 papers), Image and Signal Denoising Methods (26 papers) and Video Coding and Compression Technologies (24 papers). Amir Said collaborates with scholars based in United States, Brazil and United Kingdom. Amir Said's co-authors include William A. Pearlman, Ashraful Islam, Nithin Nagaraj, Ramin Samadani, Eduardo A. B. da Silva, Pere Obrador, André Luiz N. Targino da Costa, Debargha Mukherjee, Armando Ciancio and Marta Karczewicz and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Power Systems and IEEE Transactions on Image Processing.

In The Last Decade

Amir Said

103 papers receiving 5.1k citations

Hit Papers

align trajectories

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.

A new, fast, and efficient image codec based on set partitioning in hierarchical trees

1996 3.7k citations Amir Said, William A. Pearlman IEEE Transactions on Circuits and Systems for Video Technology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amir Said United States	22	5.1k	2.3k	748	587	382	111	5.6k
Oscar C. Au Hong Kong	32	4.1k 0.8×	1.6k 0.7×	515 0.7×	406 0.7×	240 0.6×	371	4.6k
William A. Pearlman United States	27	7.2k 1.4×	3.3k 1.4×	940 1.3×	800 1.4×	448 1.2×	184	7.9k
Fréderic Dufaux France	30	3.3k 0.7×	1.2k 0.5×	627 0.8×	223 0.4×	397 1.0×	187	3.7k
Marc Antonini France	20	3.2k 0.6×	1.2k 0.5×	673 0.9×	364 0.6×	157 0.4×	144	3.7k
Gregory K. Wallace United States	6	3.7k 0.7×	1.2k 0.5×	298 0.4×	736 1.3×	267 0.7×	8	4.3k
Jens-Rainer Ohm Germany	20	8.8k 1.7×	7.0k 3.0×	562 0.8×	198 0.3×	484 1.3×	74	9.5k
H.S. Malvar United States	30	3.7k 0.7×	2.6k 1.1×	285 0.4×	233 0.4×	616 1.6×	101	4.9k
Gene Cheung Japan	31	2.2k 0.4×	1.1k 0.5×	235 0.3×	665 1.1×	442 1.2×	259	3.5k
Arun N. Netravali United States	27	2.8k 0.6×	947 0.4×	351 0.5×	277 0.5×	511 1.3×	130	3.9k
J.M. Shapiro United States	10	3.3k 0.7×	1.4k 0.6×	564 0.8×	260 0.4×	137 0.4×	16	3.6k

Countries citing papers authored by Amir Said

Since Specialization

Citations

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

Fields of papers citing papers by Amir Said

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Said

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Said, Amir, et al.. (2023). Bitstream Organization for Parallel Entropy Coding on Neural Network-based Video Codecs. 52. 1–9. 1 indexed citations

2.

Egilmez, Hilmi E., Marta Karczewicz, Yinhao Zhu, et al.. (2021). Transform Network Architectures for Deep Learning Based End-to-End Image/Video Coding in Subsampled Color Spaces. IEEE Open Journal of Signal Processing. 2. 441–452. 14 indexed citations

3.

Silva, Eduardo A. B. da, et al.. (2017). Quality of Experience in a Stereoscopic Multiview Environment. IEEE Transactions on Multimedia. 20(1). 1–14. 15 indexed citations

4.

Martins, Wallace A., Markus V. S. Lima, Luiz W. P. Biscainho, et al.. (2012). Discriminability Measure for Microphone Array Source Localization. 1–4. 2 indexed citations

5.

Pearlman, William A. & Amir Said. (2011). Digital Signal Compression. Cambridge University Press eBooks. 25 indexed citations

6.

Said, Amir, Onur G. Guleryuz, & Robert Louis Stevenson. (2011). Visual Information Processing and Communication II.

7.

Esquef, Paulo A. A., Luiz W. P. Biscainho, Amaro A. de Lima, et al.. (2010). EW-PESQ: A Quality Assessment Method for Speech Signals Sampled at 48 kHz. Journal of the Audio Engineering Society. 58(4). 251–268. 3 indexed citations

8.

Jung, Cláudio Rosito & Amir Said. (2009). Object tracking using multiple fragments. 889–892. 2 indexed citations

9.

Lima, Amaro A. de, Luiz W. P. Biscainho, Sérgio L. Netto, et al.. (2008). On the quality assessment of sound signals. 52. 416–419. 12 indexed citations

10.

Pearlman, William A. & Amir Said. (2007). Set Partition Coding: Part I of Set Partition Coding and Image Wavelet Coding Systems. now publishers, Inc. eBooks. 4 indexed citations

11.

Apostolopoulos, John & Amir Said. (2006). Visual communications and image processing 2006 : 17-19 January, 2006, San Jose, California, USA. 1 indexed citations

12.

Yea, Sehoon, Amir Said, & William A. Pearlman. (2005). Efficient image coding for access to pixel ranges. 1. 425–428. 3 indexed citations

13.

Said, Amir, et al.. (2005). Coding the Wavelet Spatial Orientation Tree with Low Computational Complexity. 455–455. 3 indexed citations

14.

Said, Amir. (2005). On the Inadequacy of Golomb-Rice Codes for Adaptive Coding. 476–476. 1 indexed citations

15.

Pearlman, William A., Ashraful Islam, Nithin Nagaraj, & Amir Said. (2004). Efficient, Low-Complexity Image Coding With a Set-Partitioning Embedded Block Coder. IEEE Transactions on Circuits and Systems for Video Technology. 14(11). 1219–1235. 269 indexed citations

16.

Said, Amir, et al.. (2003). Automatically Designed 3-D Environments for Intuitive Browsing and Discovery. 2 indexed citations

17.

Mukherjee, Debargha, C. Chrysafis, & Amir Said. (2003). Low complexity guaranteed fit compound document compression. Proceedings - International Conference on Image Processing. 1. I–225. 10 indexed citations

18.

Mukherjee, Debargha & Amir Said. (2003). <title>Structured Scalable Meta-formats (SSM) for Digital Item Adaptation</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5018. 148–167. 8 indexed citations

19.

Chrysafis, C., et al.. (2002). SBHP-a low complexity wavelet coder. 4. 2035–2038. 42 indexed citations

20.

Said, Amir & Reginaldo Palazzo. (1993). Using combinatorial optimization to design good unit-memory convolutional codes. IEEE Transactions on Information Theory. 39(3). 1100–1108. 10 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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