World's Best Scientists 2026 revealed!
Motoki Kato

Motoki Kato

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 30 9760 9369 228 210 148 4522

Motoki Kato publications per year

The chart shows the history of publications by Motoki Kato between 1992 and 2018, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Motoki Kato published across 27 years, from 1992 to 2018, averaging 7.9 papers a year. Output peaked at 29 publications in 2001. 1 of the 213 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1992 to 2018. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2001. 1992: 4 publications 1993: 8 publications 1994: 2 publications 1995: 4 publications 1996: 7 publications 1997: 8 publications 1998: 14 publications 1999: 10 publications 2000: 11 publications 2001: 29 publications 2002: 18 publications 2003: 6 publications 2004: 18 publications 2005: 21 publications 2006: 18 publications 2007: 5 publications 2008: 2 publications 2009: 5 publications 2010: 7 publications 2011: 8 publications 2012: 5 publications 2013: 0 publications 2014: 2 publications 2015: 0 publications 2016: 0 publications 2017: 0 publications 2018: 1 publication
1992 2018

213 publications in total across all disciplines

View publications per year as a table
Motoki Kato: publications per year, 1992 to 2018
Year Publications
1992 4
1993 8
1994 2
1995 4
1996 7
1997 8
1998 14
1999 10
2000 11
2001 29
2002 18
2003 6
2004 18
2005 21
2006 18
2007 5
2008 2
2009 5
2010 7
2011 8
2012 5
2013 0
2014 2
2015 0
2016 0
2017 0
2018 1
Total 213
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Motoki Kato publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Motoki Kato sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 148–157 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 148 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457 148
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Motoki Kato D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Motoki Kato sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 30 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 30 D-Index — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59 30
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
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Overview

What is he best known for?

The fields of study he is best known for:

  • Algorithm
  • Artificial intelligence
  • Computer hardware

Motoki Kato spends much of his time researching Computer hardware, Real-time computing, Algorithm, Block and Computer vision. His Computer hardware research incorporates elements of Computer graphics and Table. His Computer vision research includes themes of Decoding methods, Decodes, Bit allocation and Artificial intelligence.

His Decoding methods study combines topics in areas such as Multiplexing, Motion vector, Image coding and Arithmetic. His work on Font as part of general Artificial intelligence study is frequently linked to Subtitle, bridging the gap between disciplines. The concepts of his Encoding study are interwoven with issues in Digital signal, Signal, Transmission and Variable bitrate.

His most cited work include:

  • Information processing apparatus and method, program and recorded medium (243 citations)
  • Reproduction device, reproduction method, reproduction program, and recording medium (212 citations)
  • Information Recording/Playback Apparatus and Method (152 citations)

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

Motoki Kato focuses on Computer hardware, Artificial intelligence, Computer vision, Decoding methods and Real-time computing. His Computer hardware study frequently draws connections between related disciplines such as Computer graphics. His Computer vision study incorporates themes from Signal, Decodes and Transmission channel.

His Decoding methods research is multidisciplinary, incorporating perspectives in Speech recognition, Image coding and Encoding. His study on Timestamp is often connected to ENCODE as part of broader study in Real-time computing. In the field of Algorithm, his study on Variable-length code overlaps with subjects such as Value.

He most often published in these fields:

  • Computer hardware (30.39%)
  • Artificial intelligence (24.31%)
  • Computer vision (23.76%)

What were the highlights of his more recent work (between 2006-2018)?

  • Computer hardware (30.39%)
  • Computer graphics (16.02%)
  • Computer vision (23.76%)

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

Motoki Kato mostly deals with Computer hardware, Computer graphics, Computer vision, Artificial intelligence and Path. His studies deal with areas such as Multiplexing, Decoding methods and Real-time computing as well as Computer hardware. His Decoding methods research integrates issues from Image coding and Encoding.

Motoki Kato performs multidisciplinary study in Real-time computing and Encoder in his work. His study in the field of Graphics also crosses realms of Synchronization. Computer vision is closely attributed to Stereo display in his research.

Between 2006 and 2018, his most popular works were:

  • Reproducing apparatus, reproducing method, reproducing program, and recording medium (104 citations)
  • Apparatus and method for image coding and decoding (97 citations)
  • Information processing apparatus and method, recorded medium, and program (45 citations)

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

  • Algorithm
  • Artificial intelligence
  • Computer vision

Motoki Kato mainly investigates Artificial intelligence, Computer vision, Computer hardware, Basis and Information processor. In his research, he performs multidisciplinary study on Artificial intelligence and Control unit. Motoki Kato interconnects Multiplexing, Decoding methods and Image coding in the investigation of issues within Computer hardware.

Motoki Kato integrates many fields, such as Basis and engineering, in his works. His Information processor research overlaps with other disciplines such as Subtitle, Records management, Content delivery, Data processing and Information retrieval.

Best Publications

  • Information processing apparatus and method, program and recorded medium

    Motoki Kato;Toshiya Hamada

  • Reproduction device, reproduction method, reproduction program, and recording medium

    Toshiya Hamada;Motoki Kato

  • Information Recording/Playback Apparatus and Method

    Tomoyuki Asano;Yoshitomo Osawa;Motoki Kato

  • Information processor and processing method, and recording medium therefor, and program and its recording medium

    Toshiya Hamada;Motoki Kato;元樹 加藤;俊也 浜田

  • High efficiency encoding and decoding of picture signals and recording medium containing same

    Katsuji Igarashi;Jun Yonemitsu;Yoichi Yagasaki;Yasushi Fujinami

  • Information processing method and apparatus, program and recording medium

    Motoki Kato;Toshiya Hamada

  • Information processing device, information recording medium, information processing method, and computer program

    Yoshikazu Takashima;Tateo Oishi;Katsumi Muramatsu;Kenjiro Ueda

  • Reproducing apparatus, reproducing method, reproducing program, and recording medium

    Toshiya Hamada;Motoki Kato

  • Apparatus and method for image coding and decoding

    Motoki Kato

  • Variable length coding/decoding method for motion vectors

    Yoichi Yagasaki;Jun Yonemitsu;Mark Veltman;Katsuji Igarashi

  • Information processing apparatus and method, recorded medium, and program

    Motoki Kato;Toshiya Hamada

  • Block distortion reduction method and device and encoding method and device

    Kyoko Fukuda;Hiroshi Kobayashi;Nobuhiro Igi;Koji Obata

  • Reproduction device, reproduction method, program storage medium, and program

    Yoshiyuki Kobayashi;Motoki Kato

  • Video coding selectable between intra-frame prediction/field-based orthogonal transformation and inter-frame prediction/frame-based orthogonal transformation

    Katsuji Igarashi;Jun Yonemitsu;Yoichi Yagasaki;Yasushi Fujinami

  • Picture signal processing method and apparatus

    Hiroshi Kobayashi;Minoru Morio;Motoki Kato;Nobuhiro Igi

  • A method and an apparatus for stream conversion, a method and an apparatus for data recording, and data recording medium

    Kazuhiko Nakamura;Hiroshi Yahata;Kojiro Kawasaki;Wilhelmus Jacobus Van Gestel

  • Method and apparatus for encoding MPEG signals using variable rate encoding and dynamically varying transmission buffers

    Motoki Kato;Hideki Koyanagi

  • Information processing device, information processing method and program, and recording medium

    Motoki Kato

  • SIGNAL ENCODING METHOD AND DEVICE AND SIGNAL RECORDING MEDIUM

    Kato Motoki;Kojima Takashi

  • Picture encoding method, picture encoding apparatus, picture transmitting method and picture recording medium

    Takashi Kojima;Motoki Kato

Frequent Co-Authors

Yoichi Yagasaki
Yoichi Yagasaki Sony (Japan)

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