S.S. Hemami

8.7k total citations · 2 hit papers
126 papers, 5.9k citations indexed

About

S.S. Hemami is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, S.S. Hemami has authored 126 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Computer Vision and Pattern Recognition, 45 papers in Signal Processing and 20 papers in Media Technology. Recurrent topics in S.S. Hemami's work include Advanced Data Compression Techniques (60 papers), Image and Signal Denoising Methods (49 papers) and Image and Video Quality Assessment (35 papers). S.S. Hemami is often cited by papers focused on Advanced Data Compression Techniques (60 papers), Image and Signal Denoising Methods (49 papers) and Image and Video Quality Assessment (35 papers). S.S. Hemami collaborates with scholars based in United States, France and Switzerland. S.S. Hemami's co-authors include Francisco Estrada, Radhakrishna Achanta, Sabine Süsstrunk, Damon M. Chandler, David Rouse, M. Masry, Chao Tian, Amy R. Reibman, Yan Yang and Robert M. Gray and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

S.S. Hemami

121 papers receiving 5.6k 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.

Frequency-tuned salient region detection

2009 2.9k citations S.S. Hemami et al. profile →
VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images

2007 859 citations Damon M. Chandler, S.S. Hemami IEEE Transactions on Image Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S.S. Hemami United States	27	5.5k	1.2k	791	668	582	126	5.9k
King Ngi Ngan Hong Kong	41	6.3k 1.2×	1.2k 0.9×	291 0.4×	1.7k 2.5×	188 0.3×	378	7.1k
Yuming Fang China	45	6.9k 1.3×	2.7k 2.1×	393 0.5×	224 0.3×	383 0.7×	272	7.6k
Patrick Le Callet France	35	4.2k 0.8×	1.4k 1.1×	174 0.2×	440 0.7×	663 1.1×	253	4.9k
Jingyi Yu China	37	4.4k 0.8×	817 0.7×	209 0.3×	125 0.2×	224 0.4×	219	5.3k
Yael Pritch United States	17	3.8k 0.7×	481 0.4×	444 0.6×	244 0.4×	287 0.5×	31	4.3k
Jianjun Lei China	35	3.0k 0.6×	762 0.6×	185 0.2×	686 1.0×	301 0.5×	163	3.7k
Deepu Rajan Singapore	28	2.2k 0.4×	460 0.4×	238 0.3×	180 0.3×	107 0.2×	121	2.8k
Olivier Le Meur France	25	2.9k 0.5×	353 0.3×	525 0.7×	121 0.2×	713 1.2×	89	3.2k
Ali Borji United States	33	6.4k 1.2×	806 0.7×	1.1k 1.3×	101 0.2×	1.6k 2.8×	78	7.0k

Countries citing papers authored by S.S. Hemami

Since Specialization

Citations

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

Fields of papers citing papers by S.S. Hemami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.S. Hemami

This figure shows the co-authorship network connecting the top 25 collaborators of S.S. Hemami. A scholar is included among the top collaborators of S.S. Hemami 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 S.S. Hemami. S.S. Hemami 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.

Allen, Harry, Beckett C. Colson, Anna‐Marie Cook, et al.. (2021). Field-Portable Microplastic Sensing in Aqueous Environments: A Perspective on Emerging Techniques. Sensors. 21(10). 3532–3532. 29 indexed citations

2.

Riskin, E.A., et al.. (2012). Fast algorithms for designing nearly optimal lookup tables for complexity control of the H.264 encoder. Signal Image and Video Processing. 7(5). 991–1003. 1 indexed citations

3.

Hemami, S.S., et al.. (2011). A Computational Intelligibility Model for Assessment and Compression of American Sign Language Video. IEEE Transactions on Image Processing. 20(11). 3014–3027. 16 indexed citations

4.

Rouse, David, S.S. Hemami, Romuald Pépion, & Patrick Le Callet. (2011). Estimating the usefulness of distorted natural images using an image contour degradation measure. Journal of the Optical Society of America A. 28(2). 157–157. 16 indexed citations

5.

Hemami, S.S., et al.. (2007). The role of spatially adaptive versus non-spatially adaptive distortion in supra-threshold compression. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6492. 64920E–64920E.

6.

Chandler, Damon M. & S.S. Hemami. (2005). Dynamic contrast-based quantization for lossy wavelet image compression. IEEE Transactions on Image Processing. 14(4). 397–410. 55 indexed citations

7.

Chen, Jun, Chao Tian, Toby Berger, & S.S. Hemami. (2005). Achieving the Multiple Description Rate-Distortion Region with Lattice Quantization. 1 indexed citations

8.

Hemami, S.S., et al.. (2005). Convexity results for a predictive video coder. 2. 1713–1717. 5 indexed citations

9.

Hemami, S.S., et al.. (2004). Linear approximations for rate control in video coding. 2. III–809. 1 indexed citations

10.

Chandler, Damon M. & S.S. Hemami. (2003). Effects of natural images on the detectability of simple and compound wavelet subband quantization distortions. Journal of the Optical Society of America A. 20(7). 1164–1164. 53 indexed citations

11.

Hemami, S.S., et al.. (2003). Linear programming optimization for video coding under multiple constraints. 53–62. 8 indexed citations

12.

Hemami, S.S., et al.. (2003). Efficient sign coding and estimation of zero-quantized coefficients in embedded wavelet image codecs. IEEE Transactions on Image Processing. 12(4). 420–430. 19 indexed citations

13.

Yang, Yan & S.S. Hemami. (2002). Separate source and channel rate selection for video over ATM. 581–581.

14.

Hemami, S.S., et al.. (2002). Dense motion field reduction for motion estimation. 2. 944–948. 7 indexed citations

15.

Masry, M. & S.S. Hemami. (2002). An analysis of subjective quality in low bit rate video. 1. 465–468. 17 indexed citations

16.

Hemami, S.S. & Robert M. Gray. (2002). Image reconstruction using vector quantized linear interpolation. v. V/629–V/632. 1 indexed citations

17.

Hemami, S.S.. (2001). Robust image communication over wireless channels. IEEE Communications Magazine. 39(11). 120–124. 12 indexed citations

18.

Hemami, S.S., et al.. (1999). A comparison of temporal scalability techniques. IEEE Transactions on Circuits and Systems for Video Technology. 9(6). 909–919. 21 indexed citations

19.

Hemami, S.S., et al.. (1996). Edge-adaptive JPEG image compression. 4 indexed citations

20.

Hemami, S.S., et al.. (1995). Transform coded image reconstruction exploiting interblock correlation. IEEE Transactions on Image Processing. 4(7). 1023–1027. 84 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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