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Ilias Leontiadis

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 34 12086 11736 4922 4702 83 5609

Ilias Leontiadis publications per year

The chart shows the history of publications by Ilias Leontiadis between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ilias Leontiadis published across 19 years, from 2007 to 2025, averaging 4.6 papers a year. Output peaked at 12 publications in 2013. 2 of the 88 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 2007 to 2025. Vertical axis: number of publications, 0 to 12. Peak 12 publications in 2013. 2007: 3 publications 2008: 0 publications 2009: 2 publications 2010: 3 publications 2011: 3 publications 2012: 4 publications 2013: 12 publications 2014: 8 publications 2015: 3 publications 2016: 3 publications 2017: 10 publications 2018: 8 publications 2019: 10 publications 2020: 7 publications 2021: 8 publications 2022: 1 publication 2023: 1 publication 2024: 1 publication 2025: 1 publication
2007 2025

88 publications in total across all disciplines

View publications per year as a table
Ilias Leontiadis: publications per year, 2007 to 2025
Year Publications
2007 3
2008 0
2009 2
2010 3
2011 3
2012 4
2013 12
2014 8
2015 3
2016 3
2017 10
2018 8
2019 10
2020 7
2021 8
2022 1
2023 1
2024 1
2025 1
Total 88
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Ilias Leontiadis 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 Ilias Leontiadis 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, 82–91 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: 83 publications — 4th percentile

4% 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 83
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
Download as CSV

Ilias Leontiadis 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 Ilias Leontiadis 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

Ilias Leontiadis is affiliated with Facebook in the United States and has contributed extensively to the field of computer science, with a focus on artificial intelligence, computer networks and communications, and information systems. Their academic work spans several interdisciplinary subfields, including sociology and political science, as well as computer vision and pattern recognition.

Their research topics cover a range of areas such as spam and phishing detection, sentiment analysis and opinion mining, misinformation and its impacts, privacy-preserving technologies in data, age of information optimization, IoT and edge/fog computing, and child development and digital technology.

Leontiadis has published in numerous venues, with frequent contributions to arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), the Proceedings of the International AAAI Conference on Web and Social Media, ACM Transactions on Embedded Computing Systems, and GetMobile Mobile Computing and Communications.

Recent papers authored or co-authored by Leontiadis include:

  • "Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children" (2020), Proceedings of the International AAAI Conference on Web and Social Media
  • "FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout" (2021), arXiv (Cornell University)
  • "DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device" (2022), ACM Transactions on Embedded Computing Systems
  • "It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation" (2021), arXiv (Cornell University)

Leontiadis frequently collaborates with researchers such as Jeremy Blackburn, Nicolas Kourtellis, Gianluca Stringhini, Michael Sirivianos, and Stefanos Laskaridis, indicating a collaborative presence within their research community.

Best Publications

  • Large scale crowdsourcing and characterization of twitter abusive behavior

    Antigoni Maria Founta;Constantinos Djouvas;Despoina Chatzakou;Ilias Leontiadis

  • GeOpps: Geographical Opportunistic Routing for Vehicular Networks

    Ilias Leontiadis;Cecilia Mascolo

  • Kek, Cucks, and God Emperor Trump: A Measurement Study of 4chan's Politically Incorrect Forum and its Effects on the Web

    Gabriel Emile Hine;Jeremiah Onaolapo;Emiliano De Cristofaro;Nicolas Kourtellis

  • The Cost of the "S" in HTTPS

    David Naylor;Alessandro Finamore;Ilias Leontiadis;Yan Grunenberger

  • SPINN: synergistic progressive inference of neural networks over device and cloud

    Stefanos Laskaridis;Stylianos I. Venieris;Mario Almeida;Ilias Leontiadis

  • A Unified Deep Learning Architecture for Abuse Detection

    Antigoni Maria Founta;Despoina Chatzakou;Nicolas Kourtellis;Jeremy Blackburn

  • On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks

    I. Leontiadis;G. Marfia;D. Mack;G. Pau

  • Don't kill my ads!: balancing privacy in an ad-supported mobile application market

    Ilias Leontiadis;Christos Efstratiou;Marco Picone;Cecilia Mascolo

  • The web centipede: understanding how web communities influence each other through the lens of mainstream and alternative news sources

    Savvas Zannettou;Tristan Caulfield;Emiliano De Cristofaro;Nicolas Kourtelris

  • Measuring Video QoE from Encrypted Traffic

    Giorgos Dimopoulos;Ilias Leontiadis;Pere Barlet-Ros;Konstantina Papagiannaki

  • Multi-Context TLS (mcTLS): Enabling Secure In-Network Functionality in TLS

    David Naylor;Kyle Schomp;Matteo Varvello;Ilias Leontiadis

  • DarkneTZ: towards model privacy at the edge using trusted execution environments

    Fan Mo;Ali Shahin Shamsabadi;Kleomenis Katevas;Soteris Demetriou

  • SenShare: transforming sensor networks into multi-application sensing infrastructures

    Ilias Leontiadis;Christos Efstratiou;Cecilia Mascolo;Jon Crowcroft

  • Opportunistic spatio-temporal dissemination system for vehicular networks

    Ilias Leontiadis;Cecilia Mascolo

  • Disturbed YouTube for kids: characterizing and detecting inappropriate videos targeting young children

    Kostantinos Papadamou;Antonis Papasavva;Savvas Zannettou;Jeremy Blackburn

  • Detecting Cyberbullying and Cyberaggression in Social Media

    Despoina Chatzakou;Ilias Leontiadis;Jeremy Blackburn;Emiliano De Cristofaro

  • Extending Access Point Connectivity through Opportunistic Routing in Vehicular Networks

    Ilias Leontiadis;Paolo Costa;Cecilia Mascolo

  • SpotME If You Can: Randomized Responses for Location Obfuscation on Mobile Phones

    Daniele Quercia;Ilias Leontiadis;Liam McNamara;Cecilia Mascolo

  • Persistent content-based information dissemination in hybrid vehicular networks

    Ilias Leontiadis;Paolo Costa;Cecilia Mascolo

  • "You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks

    E Mariconti;G Suarez-Tangil;J Blackburn;ED Cristofaro

  • A hybrid approach for content-based publish/subscribe in vehicular networks

    Ilias Leontiadis;Paolo Costa;Cecilia Mascolo

  • Tracking serendipitous interactions: how individual cultures shape the office

    Chloë Brown;Christos Efstratiou;Ilias Leontiadis;Daniele Quercia

Frequent Co-Authors

Nicolas Kourtellis
Nicolas Kourtellis Telefónica (Spain)
Cecilia Mascolo
Cecilia Mascolo University of Cambridge
Jeremy Blackburn
Jeremy Blackburn Binghamton University
Gianluca Stringhini
Gianluca Stringhini Boston University
Emiliano De Cristofaro
Emiliano De Cristofaro University of California, Riverside
Nicholas D. Lane
Nicholas D. Lane University of Cambridge
Konstantina Papagiannaki
Konstantina Papagiannaki Google (United States)
Joan Serrà
Joan Serrà Telefónica (Spain)
Dario Rossi
Dario Rossi Télécom ParisTech
Athena Vakali
Athena Vakali Aristotle University of Thessaloniki

External Links

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Related Online Degrees & Career Pathways

Exploring online education opens up many opportunities for students interested in Computer Science and related fields. For those just beginning their journey, an associate degree online can provide foundational skills and a flexible pathway towards a bachelor’s program or entry-level tech roles.

Affordability is a key concern for many students. Fortunately, there are most affordable online colleges that deliver quality education without overwhelming tuition fees. This makes pursuing a degree in computer science more accessible for a wider range of learners.

Academic requirements can often feel like a barrier, but some online graduate programs that accept 2.0 gpa help open doors for students who may have struggled previously, letting them continue their education and advance their careers.

A degree in technology or science leads to diverse career paths. For inspiration on what you can do after graduation, explore examples such as what jobs can you get with an environmental science degree, which showcases a variety of roles across industries.

Best Scientists Citing Ilias Leontiadis

Jeremy Blackburn

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Publications: 49

Gianluca Stringhini

Gianluca Stringhini

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Publications: 45

Emiliano De Cristofaro

Emiliano De Cristofaro

University of California, Riverside

Publications: 41

Nicolas Kourtellis

Nicolas Kourtellis

Telefónica (Spain)

Publications: 22

Hamed Haddadi

Hamed Haddadi

Imperial College London

Publications: 21

Marco Mellia

Marco Mellia

Polytechnic University of Turin

Publications: 20

Joel J. P. C. Rodrigues

Joel J. P. C. Rodrigues

Federal University of Piauí

Publications: 19

Nicholas D. Lane

Nicholas D. Lane

University of Cambridge

Publications: 18

Pedro Casas

Pedro Casas

Austrian Institute of Technology

Publications: 13

Yanmin Zhu

Yanmin Zhu

Shanghai Jiao Tong University

Publications: 12

Narseo Vallina-Rodriguez

Narseo Vallina-Rodriguez

IMDEA Networks

Publications: 12

Haiying Shen

Haiying Shen

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Publications: 11

Mario Gerla

Mario Gerla

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Publications: 11

Evangelos P. Markatos

Evangelos P. Markatos

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Publications: 10

Antonio A. F. Loureiro

Antonio A. F. Loureiro

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Publications: 10

Noel Crespi

Noel Crespi

Télécom SudParis

Publications: 10

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