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Steve R. Gunn

Steve R. Gunn publications per year

The chart shows the history of publications by Steve R. Gunn between 1995 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Steve R. Gunn published across 30 years, from 1995 to 2024, averaging 1.8 papers a year. Output peaked at 4 publications in 2002. 4 of the 53 publications appeared in the last two years.

No. of publications
1 2 3 4
Bar chart. Horizontal axis: year, 1995 to 2024. Vertical axis: number of publications, 0 to 4. Peak 4 publications in 2002. 1995: 1 publication 1996: 1 publication 1997: 2 publications 1998: 2 publications 1999: 3 publications 2000: 2 publications 2001: 3 publications 2002: 4 publications 2003: 4 publications 2004: 2 publications 2005: 0 publications 2006: 1 publication 2007: 0 publications 2008: 2 publications 2009: 3 publications 2010: 3 publications 2011: 2 publications 2012: 0 publications 2013: 1 publication 2014: 1 publication 2015: 0 publications 2016: 2 publications 2017: 1 publication 2018: 3 publications 2019: 3 publications 2020: 1 publication 2021: 2 publications 2022: 0 publications 2023: 2 publications 2024: 2 publications
1995 2024

53 publications in total across all disciplines

View publications per year as a table
Steve R. Gunn: publications per year, 1995 to 2024
Year Publications
1995 1
1996 1
1997 2
1998 2
1999 3
2000 2
2001 3
2002 4
2003 4
2004 2
2005 0
2006 1
2007 0
2008 2
2009 3
2010 3
2011 2
2012 0
2013 1
2014 1
2015 0
2016 2
2017 1
2018 3
2019 3
2020 1
2021 2
2022 0
2023 2
2024 2
Total 53
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Steve R. Gunn 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 Steve R. Gunn 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. 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+

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
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
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
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Steve R. Gunn 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 Steve R. Gunn 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. 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+

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
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
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
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Overview

Steve R. Gunn is affiliated with the University of Southampton in the United Kingdom. Their research spans primarily the fields of Computer Science and Engineering, with a notable focus on Artificial Intelligence and its related subfields. Within their body of work, they have contributed significantly to areas such as Sparse and Compressive Sensing Techniques, Stochastic Gradient Optimization Techniques, and Neural Networks and Applications.

Their research output includes papers published in various scientific venues, notably in IEEE Control Systems Letters, International Journal of Artificial Intelligence Tools, Proceedings of the Python in Science Conferences, and arXiv (Cornell University). These journals and conference proceedings cover topics ranging from control systems to embedded intelligence and computational resource optimization.

Key recent publications by Steve R. Gunn include:

  • Strengthened Circle and Popov Criteria for the Stability Analysis of Feedback Systems With ReLU Neural Networks (2023), published in IEEE Control Systems Letters
  • Sparse Deep Neural Network Optimization for Embedded Intelligence (2020), published in International Journal of Artificial Intelligence Tools
  • Computational Resource Optimisation in Feature Selection under Class Imbalance Conditions (2024), published in Proceedings of the Python in Science Conferences
  • A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization (2021), published in arXiv (Cornell University)
  • Errata on "Strengthened Circle and Popov Criteria for the Stability Analysis of Feedback Systems With ReLU Neural Networks" (2023), published in IEEE Control Systems Letters

The scientist's frequent coauthors include Jia Bi, Carl R. Richardson, Matthew C. Turner, Amadi Gabriel Udu, and Andrea Lecchini-Visintini, indicating collaborative efforts across multiple research projects.

Steve R. Gunn's work covers a range of subfields including Artificial Intelligence, Computational Mechanics, Control and Systems Engineering, Computer Networks and Communications, and Computer Vision and Pattern Recognition. The emphasis on neural networks is underscored by topics such as Neural Networks Stability and Synchronization and Neural Networks and Reservoir Computing, alongside applications in advanced neural network methodologies.

The publication record shows a pattern of engagement with topics vital to the development of AI techniques, leveraging mathematical frameworks and optimization algorithms to improve embedded intelligence and resource-efficient computational methods.

Best Publications

  • Support Vector Machines for Classification and Regression

    S.R. Gunn

  • Feature extraction : foundations and applications

    I.M. Guyon;S.R. Gunn;M. Nikravesh;L. Zadeh

  • Result Analysis of the NIPS 2003 Feature Selection Challenge

    Isabelle Guyon;Steve Gunn;Asa Ben-Hur;Gideon Dror

  • Feature Extraction: Foundations and Applications (Studies in Fuzziness and Soft Computing)

    Isabelle Guyon;Steve Gunn;Masoud Nikravesh;Lotfi A. Zadeh

  • Positron Emission Tomography Compartmental Models

    Roger N. Gunn;Steve R. Gunn;Vincent J. Cunningham

  • Band Selection for Hyperspectral Image Classification Using Mutual Information

    Baofeng Guo;S.R. Gunn;R.I. Damper;J.D.B. Nelson

  • A robust snake implementation; a dual active contour

    S.R. Gunn;M.S. Nixon

  • Linear spectral mixture models and support vector machines for remote sensing

    M. Brown;H.G. Lewis;S.R. Gunn

  • Positron emission tomography compartmental models: a basis pursuit strategy for kinetic modeling.

    Roger N Gunn;Steve R Gunn;Federico E Turkheimer;John A D Aston;John A D Aston

  • Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification

    Baofeng Guo;S.R. Gunn;R.I. Damper;J.D.B. Nelson

  • Support vector machines for optimal classification and spectral unmixing

    Martin Brown;Steve R. Gunn;Hugh G. Lewis

  • A Probabilistic Framework for SVM Regression and Error Bar Estimation

    J. B. Gao;S. R. Gunn;C. J. Harris;M. Brown

  • Network Performance Assessment for Neurofuzzy Data Modelling

    Steve R. Gunn;Martin Brown;Kev M. Bossley

  • A fast separability-based feature-selection method for high-dimensional remotely sensed image classification

    Baofeng Guo;R. I. Damper;Steve R. Gunn;J. D. B. Nelson

  • Structural Modelling with Sparse Kernels

    S. R. Gunn;J. S. Kandola

  • On the discrete representation of the Laplacian of Gaussian

    Steve R. Gunn

  • Identifying feature relevance using a random forest

    Jeremy Rogers;Steve Gunn

  • Subspace, Latent Structure and Feature Selection

    Craig Saunders;Marko Grobelnik;Steve Gunn;John Shawe-Taylor

  • The relevance vector machine technique for channel equalization application

    S. Chen;S.R. Gunn;C.J. Harris

  • Decision feedback equaliser design using support vector machines

    S. Chen;S.R. Gunn;C.J. Harris

Frequent Co-Authors

Mark S. Nixon
Mark S. Nixon University of Southampton
Junbin Gao
Junbin Gao University of Sydney
John Shawe-Taylor
John Shawe-Taylor University College London
Roger N. Gunn
Roger N. Gunn Imperial College London
Bashir M. Al-Hashimi
Bashir M. Al-Hashimi King's College London
Vincent J. Cunningham
Vincent J. Cunningham University of Aberdeen
Marko Grobelnik
Marko Grobelnik Jožef Stefan Institute
Byron Blomquist
Byron Blomquist University of Colorado Boulder
Federico E. Turkheimer
Federico E. Turkheimer King's College London
Ian Sinclair
Ian Sinclair University of Southampton

External Links

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Best Scientists Citing Steve R. Gunn

Amparo Alonso-Betanzos

Amparo Alonso-Betanzos

University of A Coruña

Publications: 54

Verónica Bolón-Canedo

Verónica Bolón-Canedo

University of A Coruña

Publications: 53

Roger N. Gunn

Roger N. Gunn

Imperial College London

Publications: 50

Sheng Chen

Sheng Chen

University of Southampton

Publications: 43

Federico E. Turkheimer

Federico E. Turkheimer

King's College London

Publications: 27

David J. Brooks

David J. Brooks

Newcastle University

Publications: 26

Mark S. Nixon

Mark S. Nixon

University of Southampton

Publications: 21

Isabelle Guyon

Isabelle Guyon

University of Paris-Saclay

Publications: 20

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 18

Amir H. Mohammadi

Amir H. Mohammadi

University of KwaZulu-Natal

Publications: 18

Peter M. Atkinson

Peter M. Atkinson

Lancaster University

Publications: 17

Mattia Veronese

Mattia Veronese

King's College London

Publications: 16

Bart N.M. van Berckel

Bart N.M. van Berckel

Amsterdam UMC

Publications: 16

Włodzisław Duch

Włodzisław Duch

Nicolaus Copernicus University

Publications: 15

Jean-Dominique Gallezot

Jean-Dominique Gallezot

Yale University

Publications: 15

Eugenii A. Rabiner

Eugenii A. Rabiner

King's College London

Publications: 14

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