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Arnold W. M. Smeulders

Arnold W. M. Smeulders

University of Amsterdam
Netherlands

Award Badge
Computer Science
Netherlands
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 74 1444 1399 11 11 433 46373

Arnold W. M. Smeulders publications per year

The chart shows the history of publications by Arnold W. M. Smeulders between 1972 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Arnold W. M. Smeulders published across 50 years, from 1972 to 2021, averaging 8.9 papers a year. Output peaked at 24 publications in 2007. 25 of the 446 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1972 to 2021. Vertical axis: number of publications, 0 to 24. Peak 24 publications in 2007. 1972: 1 publication 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 1 publication 1978: 0 publications 1979: 2 publications 1980: 1 publication 1981: 0 publications 1982: 1 publication 1983: 1 publication 1984: 3 publications 1985: 3 publications 1986: 7 publications 1987: 6 publications 1988: 8 publications 1989: 14 publications 1990: 9 publications 1991: 12 publications 1992: 10 publications 1993: 7 publications 1994: 16 publications 1995: 8 publications 1996: 6 publications 1997: 14 publications 1998: 17 publications 1999: 15 publications 2000: 17 publications 2001: 18 publications 2002: 14 publications 2003: 9 publications 2004: 17 publications 2005: 6 publications 2006: 18 publications 2007: 24 publications 2008: 7 publications 2009: 11 publications 2010: 22 publications 2011: 10 publications 2012: 13 publications 2013: 9 publications 2014: 11 publications 2015: 5 publications 2016: 12 publications 2017: 13 publications 2018: 11 publications 2019: 12 publications 2020: 10 publications 2021: 15 publications
1972 2021

446 publications in total across all disciplines

View publications per year as a table
Arnold W. M. Smeulders: publications per year, 1972 to 2021
Year Publications
1972 1
1973 0
1974 0
1975 0
1976 0
1977 1
1978 0
1979 2
1980 1
1981 0
1982 1
1983 1
1984 3
1985 3
1986 7
1987 6
1988 8
1989 14
1990 9
1991 12
1992 10
1993 7
1994 16
1995 8
1996 6
1997 14
1998 17
1999 15
2000 17
2001 18
2002 14
2003 9
2004 17
2005 6
2006 18
2007 24
2008 7
2009 11
2010 22
2011 10
2012 13
2013 9
2014 11
2015 5
2016 12
2017 13
2018 11
2019 12
2020 10
2021 15
Total 446
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Arnold W. M. Smeulders 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 Arnold W. M. Smeulders 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, 432–441 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: 433 publications — 89th percentile

89% 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
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 83 433
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

Arnold W. M. Smeulders 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 Arnold W. M. Smeulders 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, 74–75 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: 74 D-Index — 90th percentile

90% 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
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 74
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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2023 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award
  • 2013 - Member of Academia Europaea
  • 2000 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to image analysis and content-based image database retrieval

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Statistics

Arnold W. M. Smeulders mostly deals with Artificial intelligence, Computer vision, Pattern recognition, Image retrieval and TRECVID. His study in Robustness, Codebook, Image processing, Object and Segmentation falls within the category of Artificial intelligence. While the research belongs to areas of Computer vision, Arnold W. M. Smeulders spends his time largely on the problem of Invariant, intersecting his research to questions surrounding Discriminative model.

His Pattern recognition research includes elements of Contextual image classification, Cognitive neuroscience of visual object recognition, Outcome and Contrast. His Image retrieval research incorporates elements of Feature extraction, Color model, Search engine indexing and Image texture. His Information retrieval study incorporates themes from Machine learning and Relevance feedback.

His most cited work include:

  • Content-based image retrieval at the end of the early years (5505 citations)
  • Selective Search for Object Recognition (3740 citations)
  • Visual Tracking: An Experimental Survey (1202 citations)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Information retrieval and Image processing. Many of his studies on Artificial intelligence apply to Machine learning as well. Computer vision is frequently linked to Invariant in his study.

His Pattern recognition study combines topics from a wide range of disciplines, such as Contextual image classification, Feature, Cognitive neuroscience of visual object recognition and Categorization. His Search engine, Search engine indexing, Ranking and Video retrieval study in the realm of Information retrieval connects with subjects such as TRECVID. His study in Visual Word, Automatic image annotation and Content-based image retrieval is carried out as part of his studies in Image retrieval.

He most often published in these fields:

  • Artificial intelligence (56.56%)
  • Computer vision (29.86%)
  • Pattern recognition (21.04%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (56.56%)
  • Computer vision (29.86%)
  • Machine learning (7.92%)

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

His main research concerns Artificial intelligence, Computer vision, Machine learning, Pattern recognition and Algorithm. His Object, Video tracking, Robustness, Artificial neural network and Tracking study are his primary interests in Artificial intelligence. His work in the fields of Computer vision, such as Motion, overlaps with other areas such as Dynamics.

His studies in Pattern recognition integrate themes in fields like Focus, Convolution, Translation and Invariant. His research investigates the connection with Algorithm and areas like Function which intersect with concerns in Measure and Iterative refinement. His work in Discriminative model addresses subjects such as Filter, which are connected to disciplines such as Cognitive neuroscience of visual object recognition.

Between 2017 and 2021, his most popular works were:

  • The sixth visual object tracking VOT2018 challenge results (299 citations)
  • The Seventh Visual Object Tracking VOT2019 Challenge Results (122 citations)
  • i-RevNet: Deep Invertible Networks (79 citations)

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

  • Artificial intelligence
  • Statistics
  • Computer vision

Arnold W. M. Smeulders mostly deals with Artificial intelligence, Video tracking, Algorithm, Object and Theoretical computer science. His Artificial intelligence study combines topics in areas such as Contrast, Tuple and Pattern recognition. His Pattern recognition research is multidisciplinary, incorporating perspectives in Convolution and Outcome.

His Video tracking study is concerned with Computer vision in general. His work in Computer vision tackles topics such as Source code which are related to areas like RGB color model and Robustness. His research integrates issues of Machine learning, Field, Tracking and Benchmark in his study of Object.

Best Publications

  • Content-based image retrieval at the end of the early years

    A.W.M. Smeulders;M. Worring;S. Santini;A. Gupta

  • Selective Search for Object Recognition

    J. R. Uijlings;K. E. Sande;T. Gevers;A. W. Smeulders

  • Visual Tracking: An Experimental Survey

    Arnold W. M. Smeulders;Dung M. Chu;Rita Cucchiara;Simone Calderara

  • Color-Based Object Recognition

    T. Gevers;Arnold Smeulders

  • Siamese Instance Search for Tracking

    Ran Tao;Efstratios Gavves;Arnold W. M. Smeulders

  • The Amsterdam Library of Object Images

    Jan-Mark Geusebroek;Gertjan J. Burghouts;Arnold W. M. Smeulders

  • Early versus late fusion in semantic video analysis

    Cees G. M. Snoek;Marcel Worring;Arnold W. M. Smeulders

  • Visual Word Ambiguity

    Jan C van Gemert;Cor J Veenman;Arnold W M Smeulders;Jan-Mark Geusebroek

  • Segmentation as selective search for object recognition

    Koen E. A. van de Sande;Jasper R. R. Uijlings;Theo Gevers;Arnold W. M. Smeulders

  • PicToSeek: combining color and shape invariant features for image retrieval

    T. Gevers;A.W.M. Smeulders

  • Active learning using pre-clustering

    Hieu T. Nguyen;Arnold Smeulders

  • Kernel Codebooks for Scene Categorization

    Jan C. Gemert;Jan-Mark Geusebroek;Cor J. Veenman;Arnold W. Smeulders

  • Color invariance

    J.-M. Geusebroek;R. van den Boomgaard;A.W.M. Smeulders;H. Geerts

  • The challenge problem for automated detection of 101 semantic concepts in multimedia

    Cees G. M. Snoek;Marcel Worring;Jan C. van Gemert;Jan-Mark Geusebroek

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Interaction in the Segmentation of Medical Images: A Survey

    Sílvia Delgado Olabarriaga;Arnold W. M. Smeulders

  • Fast anisotropic Gauss filtering

    J.-M. Geusebroek;A.W.M. Smeulders;J. van de Weijer

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • The MediaMill TRECVID 2009 Semantic Video Search Engine

    C.G.M. Snoek;K.E.A. van de Sande;O. de Rooij;B. Huurnink

  • The MediaMill TRECVID 2008 Semantic Video Search Engine

    C.G.M. Snoek;K.E.A. van de Sande;O. de Rooij;B. Huurnink

  • The MediaMill TRECVID 2006 semantic video search engine

    C.G.M. Snoek;J.C. van Gemert;T. Gevers;B. Huurnink

Frequent Co-Authors

Marcel Worring
Marcel Worring University of Amsterdam
Jan-Mark Geusebroek
Jan-Mark Geusebroek University of Amsterdam
Cees G. M. Snoek
Cees G. M. Snoek University of Amsterdam
Theo Gevers
Theo Gevers University of Amsterdam
Efstratios Gavves
Efstratios Gavves University of Amsterdam
Jan C. van Gemert
Jan C. van Gemert Delft University of Technology
Jasper Uijlings
Jasper Uijlings Google (United States)
Victor A. F. Lamme
Victor A. F. Lamme University of Amsterdam
Shih-Fu Chang
Shih-Fu Chang Columbia University
Xirong Li
Xirong Li Renmin University of China

External Links

Personal website of Arnold W. M. Smeulders Google Scholar page

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Best Scientists Citing Arnold W. M. Smeulders

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 127

Cees G. M. Snoek

Cees G. M. Snoek

University of Amsterdam

Publications: 95

Marcel Worring

Marcel Worring

University of Amsterdam

Publications: 91

Theo Gevers

Theo Gevers

University of Amsterdam

Publications: 72

Gerald Schaefer

Gerald Schaefer

Loughborough University

Publications: 69

Alexander G. Hauptmann

Alexander G. Hauptmann

Carnegie Mellon University

Publications: 64

Henning Müller

Henning Müller

University of Applied Sciences and Arts Western Switzerland

Publications: 63

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 58

Qingming Huang

Qingming Huang

University of Chinese Academy of Sciences

Publications: 58

Nicu Sebe

Nicu Sebe

University of Trento

Publications: 58

Ioannis Kompatsiaris

Ioannis Kompatsiaris

Information Technologies Institute, Greece

Publications: 57

Jianping Fan

Jianping Fan

University of North Carolina at Charlotte

Publications: 57

Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

Publications: 54

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 54

Hanqing Lu

Hanqing Lu

Chinese Academy of Sciences

Publications: 51

Shih-Fu Chang

Shih-Fu Chang

Columbia University

Publications: 51

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