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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 39 9676 9398 153 151 369 7337

David Camacho publications per year

The chart shows the history of publications by David Camacho between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David Camacho published across 26 years, from 2000 to 2025, averaging 18 papers a year. Output peaked at 38 publications in 2024. 76 of the 467 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 38. Peak 38 publications in 2024. 2000: 3 publications 2001: 6 publications 2002: 6 publications 2003: 5 publications 2004: 2 publications 2005: 2 publications 2006: 4 publications 2007: 7 publications 2008: 10 publications 2009: 15 publications 2010: 13 publications 2011: 18 publications 2012: 14 publications 2013: 13 publications 2014: 28 publications 2015: 30 publications 2016: 25 publications 2017: 37 publications 2018: 32 publications 2019: 15 publications 2020: 30 publications 2021: 23 publications 2022: 28 publications 2023: 25 publications 2024: 38 publications 2025: 38 publications
2000 2025

467 publications in total across all disciplines

View publications per year as a table
David Camacho: publications per year, 2000 to 2025
Year Publications
2000 3
2001 6
2002 6
2003 5
2004 2
2005 2
2006 4
2007 7
2008 10
2009 15
2010 13
2011 18
2012 14
2013 13
2014 28
2015 30
2016 25
2017 37
2018 32
2019 15
2020 30
2021 23
2022 28
2023 25
2024 38
2025 38
Total 467
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David Camacho publications per year - data summary

  • David Camacho, a Computer Science scholar from Technical University of Madrid, has 467 publications recorded across 26 years, from 2000 to 2025.
  • The oldest publication on record dates to 2000 and the most recent to 2025.
  • The most productive years are 2024 and 2025, with 38 publications each.
  • The least productive years with any output are 2004 and 2005, with 2 publications each.
  • The rate of publication averages 18.0 papers per year over the whole span, or 18.0 per year counting only the 26 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 152 publications, 33% of the career total.
  • Split into equal eras - 2000-2008: 45 publications (5.0 per year); 2009-2017: 193 publications (21.4 per year); 2018-2025: 229 publications (28.6 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

David Camacho 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 David Camacho 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, 362–371 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: 369 publications — 84th percentile

84% 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
362–371 176 369
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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David Camacho publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • David Camacho, a Computer Science scholar from Technical University of Madrid, records 369 publications - the 84th percentile of the discipline.
  • 84% of ranked Computer Science scientists score the same or lower than David Camacho, and about 16% score higher.
  • The median of the discipline falls in the 202–211 publications range, and David Camacho ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

David Camacho 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 David Camacho 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, 38–39 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: 39 D-Index — 33rd percentile

33% 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 39
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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David Camacho D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • David Camacho, a Computer Science scholar from Technical University of Madrid, records 39 D-Index - the 33rd percentile of the discipline.
  • 33% of ranked Computer Science scientists score the same or lower than David Camacho, and about 67% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and David Camacho ranks below the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Overview

David Camacho is affiliated with the Technical University of Madrid in Spain and has an extensive publication record in the field of computer science, focusing primarily on artificial intelligence and its applications. Their work spans various subfields including artificial intelligence, computer vision and pattern recognition, sociology and political science, signal processing, and computer networks and communications.

Their research addresses several key topics such as misinformation and its impacts, topic modeling, hate speech and cyberbullying detection, advanced malware detection techniques, natural language processing techniques, anomaly detection techniques and applications, and network security and intrusion detection.

David Camacho has contributed papers to leading publication venues, notably:

  • arXiv (Cornell University)
  • Expert Systems
  • Information Fusion
  • Cognitive Computation
  • SSRN Electronic Journal

Recent papers authored or co-authored by David Camacho include:

  • Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion, 2021, Information Fusion
  • A new intrusion detection system based on Moth-Flame Optimizer algorithm, 2022, Expert Systems with Applications
  • Evolving Generative Adversarial Networks to improve image steganography, 2023, Expert Systems with Applications
  • A review of deep learning-based approaches for deepfake content detection, 2024, Expert Systems
  • Extending collaborative filtering recommendation using word embedding: A hybrid approach, 2021, Concurrency and Computation Practice and Experience

Frequent co-authors collaborating with David Camacho include:

  • Javier Huertas-Tato
  • Alejandro Martín
  • Víctor Rodríguez-Fernández
  • Ángel Panizo-LLedot
  • Álvaro Huertas-García

The scientist has also contributed to book publications, including works published by Springer Nature and Springer Science+Business Media. Among these are "Intelligent Distributed Computing XIV" (2022) and "Intelligent Data Engineering and Automated Learning - IDEAL 2021" (2021).

David Camacho's publication volume spans over 224 papers in computer science, with a significant number focusing on the intersection of artificial intelligence and other disciplines. This interdisciplinary approach is reflected in the diverse range of topics and venues to which they contribute.

Best Publications

  • Social big data

    Gema Bello-Orgaz;Jason J. Jung;David Camacho

  • Bio-inspired computation: Where we stand and what's next

    Javier Del Ser;Javier Del Ser;Eneko Osaba;Daniel Molina;Xin-She Yang

  • Game-like language learning in 3-D virtual environments

    Anke Berns;Antonio Gonzalez-Pardo;David Camacho

  • The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools

    David Camacho;Ángel Panizo-LLedot;Gema Bello-Orgaz;Antonio Gonzalez-Pardo

  • Solving complex multi-UAV mission planning problems using multi-objective genetic algorithms

    Cristian Ramirez-Atencia;Gema Bello-Orgaz;María D. R-Moreno;David Camacho

  • Android malware detection through hybrid features fusion and ensemble classifiers: The AndroPyTool framework and the OmniDroid dataset

    Alejandro Martín;Raúl Lara-Cabrera;David Camacho

  • Detecting discussion communities on vaccination in twitter

    Gema Bello-Orgaz;Julio Hernandez-Castro;David Camacho

  • Multiple classifiers in biometrics. part 1: Fundamentals and review

    Julian Fierrez;Aythami Morales;Ruben Vera-Rodriguez;David Camacho

  • A discrete water cycle algorithm for solving the symmetric and asymmetric traveling salesman problem

    Eneko Osaba;Javier Del Ser;Javier Del Ser;Ali Sadollah;Ali Sadollah;Miren Nekane Bilbao

  • Multiple classifiers in biometrics. Part 2: Trends and challenges

    Julian Fierrez;Aythami Morales;Ruben Vera-Rodriguez;David Camacho

  • EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation

    Alejandro Martín;Raúl Lara-Cabrera;Félix Fuentes-Hurtado;Valery Naranjo

  • Deep learning for EEG data analytics: A survey

    Gen Li;Chang Ha Lee;Jason J. Jung;Young Chul Youn

  • MOCDroid: multi-objective evolutionary classifier for Android malware detection

    Alejandro Martín;Héctor D. Menéndez;David Camacho

  • A genetic graph-based approach for partitional clustering.

    Héctor D. Menéndez;David F. Barrero;David Camacho

  • Intelligent Travel Planning: A MultiAgent Planning System to Solve Web Problems in the e-Tourism Domain

    David Camacho;Daniel Borrajo;Jose M. Molina

  • Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning

    Cristian Ramirez Atencia;Javier Del Ser;Javier Del Ser;David Camacho

  • Measuring the Radicalisation Risk in Social Networks

    Raul Lara-Cabrera;Antonio Gonzalez Pardo;Karim Benouaret;Noura Faci

  • Intelligent Data Engineering and Automated Learning - Ideal 2009

    Emilio Corchado;Hujun Yin

  • CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains

    Alejandro Martín;Víctor Rodríguez-Fernández;David Camacho

  • A Programming Experience of High School Students in a Virtual World Platform

    Mariano Rico;Gonzalo Martinez-Munoz;Xavier Alaman;David Camacho

  • Adaptive k-means algorithm for overlapped graph clustering.

    Gema Bello-Orgaz;Héctor D. Menéndez;David Camacho

Frequent Co-Authors

Javier Del Ser
Javier Del Ser University of the Basque Country
Jason J. Jung
Jason J. Jung Chung-Ang University
Oscar Corcho
Oscar Corcho Technical University of Madrid
Manuel Cebrian
Manuel Cebrian Carlos III University of Madrid
Sancho Salcedo-Sanz
Sancho Salcedo-Sanz University of Alcalá
Carlos Cotta
Carlos Cotta University of Malaga
Erik Cambria
Erik Cambria Nanyang Technological University
Julian Fierrez
Julian Fierrez Autonomous University of Madrid
Koen V. Hindriks
Koen V. Hindriks Vrije Universiteit Amsterdam
Charith Perera
Charith Perera Cardiff University

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