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Jon Atli Benediktsson

Jon Atli Benediktsson

University of Iceland
Iceland

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 110 226 220 1 1 537 52505

Jon Atli Benediktsson publications per year

The chart shows the history of publications by Jon Atli Benediktsson between 1987 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jon Atli Benediktsson published across 40 years, from 1987 to 2026, averaging 14.6 papers a year. Output peaked at 39 publications in 2016. 13 of the 583 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1987 to 2026. Vertical axis: number of publications, 0 to 39. Peak 39 publications in 2016. 1987: 1 publication 1988: 0 publications 1989: 1 publication 1990: 2 publications 1991: 3 publications 1992: 2 publications 1993: 1 publication 1994: 1 publication 1995: 3 publications 1996: 4 publications 1997: 13 publications 1998: 4 publications 1999: 9 publications 2000: 6 publications 2001: 10 publications 2002: 9 publications 2003: 12 publications 2004: 9 publications 2005: 12 publications 2006: 18 publications 2007: 18 publications 2008: 16 publications 2009: 32 publications 2010: 25 publications 2011: 28 publications 2012: 29 publications 2013: 26 publications 2014: 34 publications 2015: 35 publications 2016: 39 publications 2017: 34 publications 2018: 31 publications 2019: 26 publications 2020: 14 publications 2021: 19 publications 2022: 14 publications 2023: 17 publications 2024: 13 publications 2025: 11 publications 2026: 2 publications
1987 2026

583 publications in total across all disciplines

View publications per year as a table
Jon Atli Benediktsson: publications per year, 1987 to 2026
Year Publications
1987 1
1988 0
1989 1
1990 2
1991 3
1992 2
1993 1
1994 1
1995 3
1996 4
1997 13
1998 4
1999 9
2000 6
2001 10
2002 9
2003 12
2004 9
2005 12
2006 18
2007 18
2008 16
2009 32
2010 25
2011 28
2012 29
2013 26
2014 34
2015 35
2016 39
2017 34
2018 31
2019 26
2020 14
2021 19
2022 14
2023 17
2024 13
2025 11
2026 2
Total 583
Download as CSV

Jon Atli Benediktsson 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 Jon Atli Benediktsson 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, 532–541 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: 537 publications — 95th percentile

95% 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
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 51 537
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

Jon Atli Benediktsson 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 Jon Atli Benediktsson 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, 110–111 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: 110 D-Index — 98th percentile

98% 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
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 19 110
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

  • 2019 - Member of Academia Europaea
  • 2013 - SPIE Fellow
  • 2004 - IEEE Fellow For contributions to pattern recognition and data fusion in remote sensing.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

His primary areas of study are Artificial intelligence, Pattern recognition, Hyperspectral imaging, Contextual image classification and Support vector machine. The various areas that Jon Atli Benediktsson examines in his Artificial intelligence study include Machine learning and Computer vision. His study in the field of Principal component analysis, Classifier and Independent component analysis also crosses realms of Land cover.

The concepts of his Hyperspectral imaging study are interwoven with issues in Image resolution, Spatial analysis, Sparse approximation, Kernel method and Mathematical morphology. His Contextual image classification study integrates concerns from other disciplines, such as Random field, Full spectral imaging, Remote sensing and Sensor fusion. His Support vector machine research integrates issues from Multispectral pattern recognition, Kernel and Data set.

His most cited work include:

  • Recent Advances in Techniques for Hyperspectral Image Processing (1191 citations)
  • Random Forests for land cover classification (1117 citations)
  • Multiple Classifier Systems (1064 citations)

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

Jon Atli Benediktsson mainly focuses on Artificial intelligence, Pattern recognition, Hyperspectral imaging, Computer vision and Feature extraction. Artificial intelligence is a component of his Contextual image classification, Support vector machine, Pixel, Image resolution and Classifier studies. His research in Contextual image classification intersects with topics in Machine learning, Sensor fusion and Data set.

In his study, which falls under the umbrella issue of Pattern recognition, Closing is strongly linked to Mathematical morphology. His work carried out in the field of Hyperspectral imaging brings together such families of science as Sparse approximation, Random forest, Spatial analysis and Curse of dimensionality. His work deals with themes such as Feature, Decision boundary, Feature vector, Dimensionality reduction and Feature selection, which intersect with Feature extraction.

He most often published in these fields:

  • Artificial intelligence (73.72%)
  • Pattern recognition (55.93%)
  • Hyperspectral imaging (43.08%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (73.72%)
  • Pattern recognition (55.93%)
  • Hyperspectral imaging (43.08%)

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

His main research concerns Artificial intelligence, Pattern recognition, Hyperspectral imaging, Remote sensing and Feature extraction. His study in Computer vision extends to Artificial intelligence with its themes. His work focuses on many connections between Pattern recognition and other disciplines, such as Kernel, that overlap with his field of interest in Kernel.

His Hyperspectral imaging research incorporates themes from Machine learning, Support vector machine, Spatial analysis and Principal component analysis. His Remote sensing study combines topics from a wide range of disciplines, such as Pixel and Histogram. His biological study spans a wide range of topics, including Training set, Kernel, Curse of dimensionality, Linear discriminant analysis and Mathematical morphology.

Between 2016 and 2021, his most popular works were:

  • Deep Learning for Hyperspectral Image Classification: An Overview (190 citations)
  • Generative Adversarial Networks for Hyperspectral Image Classification (176 citations)
  • PCA-Based Edge-Preserving Features for Hyperspectral Image Classification (115 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

Artificial intelligence, Hyperspectral imaging, Pattern recognition, Feature extraction and Support vector machine are his primary areas of study. His Artificial intelligence study frequently links to related topics such as Machine learning. Jon Atli Benediktsson interconnects Spatial analysis, Pixel, Image, Computer vision and Deep learning in the investigation of issues within Hyperspectral imaging.

His research integrates issues of Probabilistic logic, Data set, Curse of dimensionality and Hyperspectral image classification in his study of Feature extraction. His Support vector machine research is multidisciplinary, incorporating elements of Smoothing, Random walker algorithm, Thresholding and Sensor fusion. His studies in Remote sensing integrate themes in fields like Image resolution and Segmentation.

Best Publications

  • Random Forests for land cover classification

    Pall Oskar Gislason;Jon Atli Benediktsson;Johannes R. Sveinsson

  • Recent Advances in Techniques for Hyperspectral Image Processing

    Antonio Plaza;Jon Atli Benediktsson;Joseph W. Boardman;Jason Brazile

  • Deep Learning for Hyperspectral Image Classification: An Overview

    Shutao Li;Weiwei Song;Leyuan Fang;Yushi Chen

  • Classification of hyperspectral data from urban areas based on extended morphological profiles

    J.A. Benediktsson;J.A. Palmason;J.R. Sveinsson

  • Neural Network Approaches Versus Statistical Methods In Classification Of Multisource Remote Sensing Data

    J.A. Benediktsson;P.H. Swain;O.K. Ersoy

  • Advances in Spectral-Spatial Classification of Hyperspectral Images

    M. Fauvel;Y. Tarabalka;J. A. Benediktsson;J. Chanussot

  • Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles

    M. Fauvel;J.A. Benediktsson;J. Chanussot;J.R. Sveinsson

  • A new approach for the morphological segmentation of high-resolution satellite imagery

    M. Pesaresi;J.A. Benediktsson

  • Lunar impact crater identification and age estimation with Chang’E data by deep and transfer learning

    Chen Yang;Chen Yang;Haishi Zhao;Lorenzo Bruzzone;Jon Atli Benediktsson

  • Classification and feature extraction for remote sensing images from urban areas based on morphological transformations

    J.A. Benediktsson;M. Pesaresi;K. Amason

  • SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images

    Y Tarabalka;M Fauvel;J Chanussot;J A Benediktsson

  • SpectralGPT: Spectral Remote Sensing Foundation Model

    Unknown

  • Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques

    Y. Tarabalka;J.A. Benediktsson;J. Chanussot

  • Morphological Attribute Profiles for the Analysis of Very High Resolution Images

    M Dalla Mura;J Atli Benediktsson;B Waske;L Bruzzone

  • Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods

    Gustavo Camps-Valls;Devis Tuia;Lorenzo Bruzzone;Jon Atli Benediktsson

  • Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox

    Behnood Rasti;Danfeng Hong;Renlong Hang;Pedram Ghamisi

  • Spectral–Spatial Hyperspectral Image Classification With Edge-Preserving Filtering

    Xudong Kang;Shutao Li;Jon Atli Benediktsson

  • Generative Adversarial Networks for Hyperspectral Image Classification

    Lin Zhu;Yushi Chen;Pedram Ghamisi;Jon Atli Benediktsson

  • Segmentation and classification of hyperspectral images using watershed transformation

    Y. Tarabalka;J. Chanussot;J. A. Benediktsson

  • Big Data for Remote Sensing: Challenges and Opportunities

    Mingmin Chi;Antonio Plaza;Jon Atli Benediktsson;Zhongyi Sun

  • Generalized Composite Kernel Framework for Hyperspectral Image Classification

    Jun Li;Prashanth Reddy Marpu;Antonio Plaza;Jose M. Bioucas-Dias

  • Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization

    Pedram Ghamisi;Jon Atli Benediktsson

  • Consensus theoretic classification methods

    J.A. Benediktsson;P.H. Swain

Frequent Co-Authors

Johannes R. Sveinsson
Johannes R. Sveinsson University of Iceland
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Shutao Li
Shutao Li Hunan University
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Pedram Ghamisi
Pedram Ghamisi Helmholtz-Zentrum Dresden-Rossendorf
Mauro Dalla Mura
Mauro Dalla Mura Grenoble Alpes University
Antonio Plaza
Antonio Plaza University of Extremadura
Xudong Kang
Xudong Kang Hunan University
Leyuan Fang
Leyuan Fang Hunan University
Yuliya Tarabalka
Yuliya Tarabalka French Institute for Research in Computer Science and Automation - INRIA

External Links

Wikipedia of Jon Atli Benediktsson Personal website of Jon Atli Benediktsson Google Scholar page

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