World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 34 12033 11684 212 210 190 6184

Juan E. Tapiador publications per year

The chart shows the history of publications by Juan E. Tapiador between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Juan E. Tapiador published across 24 years, from 2002 to 2025, averaging 8.8 papers a year. Output peaked at 21 publications in 2009. 17 of the 211 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2009. 2002: 1 publication 2003: 4 publications 2004: 8 publications 2005: 6 publications 2006: 13 publications 2007: 13 publications 2008: 14 publications 2009: 21 publications 2010: 12 publications 2011: 6 publications 2012: 7 publications 2013: 5 publications 2014: 11 publications 2015: 11 publications 2016: 8 publications 2017: 4 publications 2018: 9 publications 2019: 7 publications 2020: 6 publications 2021: 10 publications 2022: 10 publications 2023: 8 publications 2024: 4 publications 2025: 13 publications
2002 2025

211 publications in total across all disciplines

View publications per year as a table
Juan E. Tapiador: publications per year, 2002 to 2025
Year Publications
2002 1
2003 4
2004 8
2005 6
2006 13
2007 13
2008 14
2009 21
2010 12
2011 6
2012 7
2013 5
2014 11
2015 11
2016 8
2017 4
2018 9
2019 7
2020 6
2021 10
2022 10
2023 8
2024 4
2025 13
Total 211
Download as CSV

Juan E. Tapiador 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 Juan E. Tapiador 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, 182–191 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: 190 publications — 43rd percentile

43% 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
182–191 583 190
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
Download as CSV

Juan E. Tapiador 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 Juan E. Tapiador 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, 34–35 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: 34 D-Index — 16th percentile

16% 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 34
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
Download as CSV

Overview

Juan E. Tapiador is affiliated with Carlos III University of Madrid in Spain. Their research primarily spans the field of Computer Science, with a focus on subfields such as Information Systems, Signal Processing, Computer Networks and Communications, Artificial Intelligence, and Sociology and Political Science.

The topics covered extensively in their work include:

  • Advanced Malware Detection Techniques
  • Network Security and Intrusion Detection
  • Internet Traffic Analysis and Secure E-voting
  • Spam and Phishing Detection
  • Software Testing and Debugging Techniques
  • Privacy, Security, and Data Protection
  • Security and Verification in Computing

Juan E. Tapiador has contributed to multiple publication venues frequently, including:

  • arXiv (Cornell University)
  • Deposit Once (Technische Universität Berlin)
  • Computers & Security
  • SoftwareX
  • Zenodo (CERN European Organization for Nuclear Research)

Recent published papers with corresponding years and venues are:

  • A year in lockdown, 2021, Communications of the ACM
  • The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic, 2020, Deposit Once (Technische Universität Berlin)
  • Implications of the COVID-19 Pandemic on the Internet Traffic, 2021, Deposit Once (Technische Universität Berlin)
  • Optimization of code caves in malware binaries to evade machine learning detectors, 2022, Computers & Security
  • Blocklist Babel: On the Transparency and Dynamics of Open Source Blocklisting, 2021, IEEE Transactions on Network and Service Management

Frequent co-authors collaborating with Juan E. Tapiador include:

  • Narseo Vallina-Rodríguez
  • Oliver Hohlfeld
  • José Miguel Moreno
  • Georgios Smaragdakis
  • Julien Gamba

Best Publications

  • M 2 AP: a minimalist mutual-authentication protocol for low-cost RFID tags

    Pedro Peris-Lopez;Julio Cesar Hernandez-Castro;Juan M. Estevez-Tapiador;Arturo Ribagorda

  • EMAP: an efficient mutual-authentication protocol for low-cost RFID tags

    Pedro Peris-Lopez;Julio Cesar Hernandez-Castro;Juan M. Estevez-Tapiador;Arturo Ribagorda

  • Security and privacy issues in implantable medical devices

    Carmen Camara;Pedro Peris-Lopez;Juan E. Tapiador

  • Evolution, Detection and Analysis of Malware for Smart Devices

    Guillermo Suarez-Tangil;Juan E. Tapiador;Pedro Peris-Lopez;Arturo Ribagorda

  • Dendroid: A text mining approach to analyzing and classifying code structures in Android malware families

    Guillermo Suarez-Tangil;Juan E. Tapiador;Pedro Peris-Lopez;Jorge Blasco

  • Advances in Ultralightweight Cryptography for Low-Cost RFID Tags: Gossamer Protocol

    Pedro Peris-Lopez;Julio Cesar Hernandez-Castro;Juan M. Tapiador;Arturo Ribagorda

  • RFID systems: a survey on security threats and proposed solutions

    Pedro Peris-Lopez;Julio Cesar Hernandez-Castro;Juan M. Estevez-Tapiador;Arturo Ribagorda

  • The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic

    Anja Feldmann;Oliver Gasser;Franziska Lichtblau;Enric Pujol

  • Anomaly detection methods in wired networks: a survey and taxonomy

    Unknown

  • A Survey of Wearable Biometric Recognition Systems

    Jorge Blasco;Thomas M. Chen;Juan Tapiador;Pedro Peris-Lopez

  • LAMED - A PRNG for EPC Class-1 Generation-2 RFID specification

    Pedro Peris-Lopez;Julio Cesar Hernandez-Castro;Juan M. Estevez-Tapiador;Arturo Ribagorda

  • Beyond Google Play: A Large-Scale Comparative Study of Chinese Android App Markets

    Haoyu Wang;Zhe Liu;Jingyue Liang;Narseo Vallina-Rodriguez

  • Cryptanalysis of a novel authentication protocol conforming to EPC-C1G2 standard

    Pedro Peris-Lopez;Julio Cesar Hernandez-Castro;Juan M. Estevez-Tapiador;Arturo Ribagorda

  • M2AP : A minimalist mutual-authentication protocol for low-cost RFID tags

    Pedro Peris-Lopez;Julio Cesar Hernandez-Castro;Juan M. Estevez-Tapiador;Arturo Ribagorda

  • Solving the Simultaneous Scanning Problem Anonymously: Clumping Proofs for RFID Tags

    P. Peris-Lopez;J.C. Hernandez-Castro;J.M. Estevez-Tapiador;A. Ribagorda

  • An Analysis of Pre-installed Android Software

    Julien Gamba;Mohammed Rashed;Abbas Razaghpanah;Juan Tapiador

  • A year in lockdown: how the waves of COVID-19 impact internet traffic

    Anja Feldmann;Oliver Gasser;Franziska Lichtblau;Enric Pujol

  • Measuring normality in HTTP traffic for anomaly-based intrusion detection

    Unknown

  • Security Threats in Mobile Ad Hoc Networks

    Sevil Şen;John A. Clark;Juan E. Tapiador

  • Stochastic protocol modeling for anomaly based network intrusion detection

    Unknown

  • Cryptanalysis of the SASI Ultralightweight RFID Authentication Protocol with Modular Rotations

    Julio Cesar Hernandez-Castro;Juan M. E. Tapiador;Pedro Peris-Lopez;Jean-Jacques Quisquater

  • Vulnerability analysis of RFID protocols for tag ownership transfer

    Pedro Peris-Lopez;Julio C. Hernandez-Castro;Juan M. E. Tapiador;Tieyan Li

  • Picking on the family: Disrupting android malware triage by forcing misclassification

    Alejandro Calleja;Alejandro Martín;Héctor D. Menéndez;Juan E. Tapiador

  • AndrODet: An adaptive Android obfuscation detector

    O. Mirzaei;J.M. de Fuentes;J. Tapiador;L. Gonzalez-Manzano

  • The MalSource Dataset: Quantifying Complexity and Code Reuse in Malware Development

    Alejandro Calleja;Juan Tapiador;Juan Caballero

  • A New TRNG Based on Coherent Sampling With Self-Timed Rings

    Honorio Martin;Pedro Peris-Lopez;Juan E. Tapiador;Enrique San Millan

  • PRACIS: Privacy-preserving and aggregatable cybersecurity information sharing

    José María de Fuentes;Lorena González-Manzano;Juan E. Tapiador;Pedro Peris-Lopez

  • Real-time electrocardiogram streams for continuous authentication

    Carmen Camara;Pedro Peris-Lopez;Pedro Peris-Lopez;Lorena González-Manzano;Juan E. Tapiador

  • Cryptanalysis of the David-Prasad RFID ultralightweight authentication protocol

    Julio Cesar Hernandez-Castro;Pedro Peris-Lopez;Raphael C.-W. Phan;Juan M. E. Tapiador

  • Human Identification Using Compressed ECG Signals

    Carmen Camara;Pedro Peris-Lopez;Juan E. Tapiador

  • Secure Publish-Subscribe Protocols for Heterogeneous Medical Wireless Body Area Networks

    Pablo Picazo-Sanchez;Juan E. Tapiador;Pedro Peris-Lopez;Guillermo Suarez-Tangil

Frequent Co-Authors

Anja Feldmann
Anja Feldmann Max Planck Society
Daniel Wagner
Daniel Wagner University of Pennsylvania
John A. McDermid
John A. McDermid University of York
Georgios Smaragdakis
Georgios Smaragdakis Delft University of Technology
Juan Caballero
Juan Caballero Madrid Institute for Advanced Studies
Raphael C.-W. Phan
Raphael C.-W. Phan Monash University Malaysia
Serge Egelman
Serge Egelman International Computer Science Institute
Roberto Di Pietro
Roberto Di Pietro King Abdullah University of Science and Technology
Dakshi Agrawal
Dakshi Agrawal IBM (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you're interested in Computer Science, exploring related online degrees can open up more diverse career opportunities. Fields like engineering, physics, and data science share foundational skills and often intersect with computer science in real-world applications.

For example, those who want to combine engineering concepts with technology may consider an online mechanical engineering degree. This path can lead to roles in automation, manufacturing, and robotics.

If theoretical problem-solving and modeling interests you, an online physics bachelor's degree could provide a strong foundation for careers in research, data analysis, or software development.

With the growing demand for data-driven decision making, data science degrees are an excellent choice for those interested in big data, analytics, and machine learning.

Additionally, aspiring engineers can benefit from accredited online electrical engineering programs that offer flexibility without sacrificing quality education. These programs prepare students for impactful careers in telecommunications, electronics, and beyond.

Each of these online pathways can complement or enhance your expertise in computer science, expanding your career options in today's tech-driven world.

Best Scientists Citing Juan E. Tapiador

Trending Scientists

Recently Published Articles