The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Sheila S. Hemami sits on this spectrum.
This scientist: 151 publications — 27th percentile
27% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Sheila S. Hemami sits on this spectrum.
This scientist: 34 D-Index — 16th percentile
16% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Sheila S. Hemami focuses on Artificial intelligence, Computer vision, Human visual system model, Algorithm and Wavelet. She combines topics linked to Pattern recognition with her work on Artificial intelligence. In the field of Pattern recognition, her study on Image segmentation overlaps with subjects such as Cognitive neuroscience of visual object recognition.
In her study, which falls under the umbrella issue of Computer vision, Interpolation and Iterative reconstruction is strongly linked to Lossy compression. The various areas that she examines in her Wavelet study include Bicubic interpolation, Image compression, Bilinear interpolation and Mathematical analysis. The Edge detection study combines topics in areas such as Pixel and Segmentation.
Her primary areas of study are Artificial intelligence, Computer vision, Data compression, Algorithm and Wavelet. Her study on Artificial intelligence is mostly dedicated to connecting different topics, such as Pattern recognition. The study incorporates disciplines such as Pixel, Estimator and Edge detection in addition to Pattern recognition.
Her Computer vision study which covers Lossy compression that intersects with Lossless compression. Her biological study spans a wide range of topics, including Mean squared error and Theoretical computer science. Her Wavelet research incorporates themes from Quantization, Spatial frequency and Masking.
Artificial intelligence, Computer vision, Pattern recognition, Encoder and Data compression are her primary areas of study. Her Artificial intelligence study frequently involves adjacent topics like Coding. In her work, she performs multidisciplinary research in Computer vision and Psychophysics.
Her Pattern recognition study incorporates themes from Estimator and No reference. Sheila S. Hemami interconnects Uncompressed video, Control, Multi-objective optimization, Algorithm and Video quality in the investigation of issues within Encoder. The concepts of her Data compression study are interwoven with issues in Intelligibility, Speech recognition, Focus and Visual communication.
Sheila S. Hemami mostly deals with Artificial intelligence, Computer vision, Data compression, Visual communication and Light field. Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Estimator and Pattern recognition. Her Computer vision research is multidisciplinary, incorporating perspectives in Parametric statistics and Quality assessment.
Her research in Data compression intersects with topics in Signal compression, Video compression picture types, Video quality and Human visual system model. She has researched Visual communication in several fields, including Intelligibility, Speech recognition, Encoder and Videoconferencing. Her studies deal with areas such as Homography, Compression and Approximation theory as well as Light field.
Radhakrishna Achanta;Sheila Hemami;Francisco Estrada;Sabine Susstrunk
D.M. Chandler;S.S. Hemami
W.K. Carey;D.B. Chuang;S.S. Hemami
S.S. Hemami;T.H.-Y. Meng
Sheila S. Hemami;Amy R. Reibman
M. Masry;S.S. Hemami;Y. Sermadevi
D.M. Rouse;S.S. Hemami
D.M. Chandler;S.S. Hemami
S.S. Hemami;R.M. Gray
Hong Ren Wu;A. R. Reibman;Weisi Lin;F. Pereira
Mark A. Masry;Sheila S. Hemami
David M. Rouse;Sheila S. Hemami
Jun Chen;Chao Tian;T. Berger;S.S. Hemami
Chao Tian;S.S. Hemami
Damon M. Chandler;Sheila S. Hemami
Marcia G. Ramos;Sheila S. Hemami
Chao Tian;S.S. Hemami
A. Deever;S.S. Hemami
A.T. Deever;S.S. Hemami
Yan Yang;S.S. Hemami
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