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Sheila S. Hemami

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 34 11895 11552 4849 4635 151 10582

Sheila S. Hemami publications per year

The chart shows the history of publications by Sheila S. Hemami between 1994 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Sheila S. Hemami published across 28 years, from 1994 to 2021, averaging 5.4 papers a year. Output peaked at 14 publications in 2003. 1 of the 151 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1994 to 2021. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2003. 1994: 3 publications 1995: 2 publications 1996: 6 publications 1997: 10 publications 1998: 5 publications 1999: 7 publications 2000: 10 publications 2001: 7 publications 2002: 5 publications 2003: 14 publications 2004: 11 publications 2005: 12 publications 2006: 8 publications 2007: 8 publications 2008: 6 publications 2009: 8 publications 2010: 7 publications 2011: 6 publications 2012: 3 publications 2013: 6 publications 2014: 0 publications 2015: 0 publications 2016: 1 publication 2017: 3 publications 2018: 1 publication 2019: 1 publication 2020: 0 publications 2021: 1 publication
1994 2021

151 publications in total across all disciplines

View publications per year as a table
Sheila S. Hemami: publications per year, 1994 to 2021
Year Publications
1994 3
1995 2
1996 6
1997 10
1998 5
1999 7
2000 10
2001 7
2002 5
2003 14
2004 11
2005 12
2006 8
2007 8
2008 6
2009 8
2010 7
2011 6
2012 3
2013 6
2014 0
2015 0
2016 1
2017 3
2018 1
2019 1
2020 0
2021 1
Total 151
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Sheila S. Hemami publication distribution in Computer Science in 2026

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 142–151 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609 151
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Sheila S. Hemami D-index placement in Computer Science in 2026

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 34–35 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918 34
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Statistics
  • Algorithm

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 most cited work include:

  • Frequency-tuned salient region detection (2817 citations)
  • VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images (919 citations)
  • Regularity-preserving image interpolation (287 citations)

What are the main themes of her work throughout her whole career to date?

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.

She most often published in these fields:

  • Artificial intelligence (58.96%)
  • Computer vision (45.52%)
  • Data compression (29.85%)

What were the highlights of her more recent work (between 2010-2019)?

  • Artificial intelligence (58.96%)
  • Computer vision (45.52%)
  • Pattern recognition (22.39%)

In recent papers she was focusing on the following fields of study:

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.

Between 2010 and 2019, her most popular works were:

  • Perceptual Visual Signal Compression and Transmission (54 citations)
  • A Computational Intelligibility Model for Assessment and Compression of American Sign Language Video (17 citations)
  • Estimating the usefulness of distorted natural images using an image contour degradation measure. (17 citations)

In her most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Computer vision

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.

Best Publications

  • Frequency-tuned salient region detection

    Radhakrishna Achanta;Sheila Hemami;Francisco Estrada;Sabine Susstrunk

  • VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images

    D.M. Chandler;S.S. Hemami

  • Regularity-preserving image interpolation

    W.K. Carey;D.B. Chuang;S.S. Hemami

  • Transform coded image reconstruction exploiting interblock correlation

    S.S. Hemami;T.H.-Y. Meng

  • No-reference image and video quality estimation: Applications and human-motivated design

    Sheila S. Hemami;Amy R. Reibman

  • A scalable wavelet-based video distortion metric and applications

    M. Masry;S.S. Hemami;Y. Sermadevi

  • Understanding and simplifying the structural similarity metric

    D.M. Rouse;S.S. Hemami

  • Dynamic contrast-based quantization for lossy wavelet image compression

    D.M. Chandler;S.S. Hemami

  • Subband-coded image reconstruction for lossy packet networks

    S.S. Hemami;R.M. Gray

  • Perceptual Visual Signal Compression and Transmission

    Hong Ren Wu;A. R. Reibman;Weisi Lin;F. Pereira

  • A metric for continuous quality evaluation of compressed video with severe distortions

    Mark A. Masry;Sheila S. Hemami

  • ANALYZING THE ROLE OF VISUAL STRUCTURE IN THE RECOGNITION OF NATURAL IMAGE CONTENT WITH MULTI-SCALE SSIM

    David M. Rouse;Sheila S. Hemami

  • Multiple Description Quantization Via Gram–Schmidt Orthogonalization

    Jun Chen;Chao Tian;T. Berger;S.S. Hemami

  • Universal multiple description scalar quantization: analysis and design

    Chao Tian;S.S. Hemami

  • Effects of natural images on the detectability of simple and compound wavelet subband quantization distortions

    Damon M. Chandler;Sheila S. Hemami

  • Suprathreshold wavelet coefficient quantization in complex stimuli: psychophysical evaluation and analysis.

    Marcia G. Ramos;Sheila S. Hemami

  • A new class of multiple description scalar quantizer and its application to image coding

    Chao Tian;S.S. Hemami

  • What's your sign?: efficient sign coding for embedded wavelet image coding

    A. Deever;S.S. Hemami

  • Lossless image compression with projection-based and adaptive reversible integer wavelet transforms

    A.T. Deever;S.S. Hemami

  • Generalized rate-distortion optimization for motion-compensated video coders

    Yan Yang;S.S. Hemami

Frequent Co-Authors

Chao Tian
Chao Tian Texas A&M University
Robert M. Gray
Robert M. Gray Stanford University
Teresa H. Meng
Teresa H. Meng Stanford University
Patrick Le Callet
Patrick Le Callet University of Nantes
Amy R. Reibman
Amy R. Reibman Purdue University West Lafayette
Richard E. Ladner
Richard E. Ladner University of Washington
Eve A. Riskin
Eve A. Riskin University of Washington
Weisi Lin
Weisi Lin Nanyang Technological University
Touradj Ebrahimi
Touradj Ebrahimi École Polytechnique Fédérale de Lausanne
Hong Ren Wu
Hong Ren Wu RMIT University

External Links

Personal website of Sheila S. Hemami Google Scholar page

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Publications: 45

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Publications: 43

King Ngi Ngan

King Ngi Ngan

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Publications: 41

Ke Gu

Ke Gu

Beijing University of Technology

Publications: 38

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Junwei Han

Northwestern Polytechnical University

Publications: 36

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Publications: 34

Zhou Wang

Zhou Wang

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Publications: 33

Muwei Jian

Muwei Jian

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Publications: 29

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Jianbing Shen

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Publications: 27

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Zhenzhong Chen

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Publications: 25

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Publications: 25

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