World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6716
World Ranking
11120
National Ranking
355

Florian Daniel 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 Florian Daniel sits on this spectrum.

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 publications 991+

This scientist: 218 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Florian Daniel 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 Florian Daniel sits on this spectrum.

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 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Florian Daniel is affiliated with the Polytechnic University of Milan in Italy. Their primary field of study is Computer Science, with a focus on several subfields including Information Systems, Artificial Intelligence, Management Information Systems, Human Factors and Ergonomics, and Occupational Therapy.

The main topics covered in their research work include:

  • Blockchain Technology Applications and Security
  • Digital Accessibility for Disabilities
  • Assistive Technology in Communication and Mobility
  • Usability and User Interface Design
  • FinTech, Crowdfunding, Digital Finance
  • Digital Platforms and Economics
  • Cryptography and Data Security

Florian Daniel has contributed to various publication venues, with notable frequency in:

  • IEEE Software
  • Lecture notes in computer science
  • Epidemiology and Psychiatric Sciences
  • Journal of Web Engineering
  • Atherosclerosis

Recent papers authored or co-authored by Florian Daniel include:

  • "Unified Integration of Smart Contracts Through Service Orientation", 2020, IEEE Software
  • "Automatic Generation of Chatbots for Conversational Web Browsing", 2020, Lecture notes in computer science
  • "The double burden of severe mental illness and cancer: a population-based study on colorectal cancer care pathways from screening to end-of-life care", 2024, Epidemiology and Psychiatric Sciences
  • "On Twitter Bots Behaving Badly", 2020, Journal of Web Engineering
  • "Toward Quality-Aware Transaction Validation in Blockchains", 2022, IEEE Software

Frequent co-authors collaborating with Florian Daniel are:

  • Marcos Báez
  • Ghareeb Falazi
  • Andrea Lamparelli
  • Frank Leymann
  • Uwe Breitenbücher

This body of work reflects an interdisciplinary approach, integrating aspects of blockchain technology, digital finance, accessibility, and system usability within computer science research.

Best Publications

  • Blockchains for Business Process Management - Challenges and Opportunities

    Jan Mendling;Ingo Weber;Wil Van Der Aalst;Jan Vom Brocke

  • Understanding Mashup Development

    Jin Yu;B. Benatallah;F. Casati;F. Daniel

  • Web Service Composition: A Survey of Techniques and Tools

    Angel Lagares Lemos;Florian Daniel;Boualem Benatallah

  • Quality Control in Crowdsourcing: A Survey of Quality Attributes, Assessment Techniques, and Assurance Actions

    Florian Daniel;Pavel Kucherbaev;Cinzia Cappiello;Boualem Benatallah

  • Model-driven development of context-aware Web applications

    Stefano Ceri;Florian Daniel;Maristella Matera;Federico M. Facca

  • Understanding UI Integration: A Survey of Problems, Technologies, and Opportunities

    F. Daniel;M. Matera;J. Yu;B. Benatallah

  • A framework for rapid integration of presentation components

    Jin Yu;Boualem Benatallah;Regis Saint-Paul;Fabio Casati

  • Current Trends in Web Engineering

    Florian Daniel;Federico Michele Facca

  • Hosted Universal Composition: Models, Languages and Infrastructure in mashArt

    Florian Daniel;Fabio Casati;Boualem Benatallah;Ming-Chien Shan

  • Engineering Web Applications

    Sven Casteleyn;Florian Daniel;Peter Dolog;Maristella Matera

  • Mashups: Concepts, Models and Architectures

    Florian Daniel;Maristella Matera

  • REST APIs: A large-scale analysis of compliance with principles and best practices

    Carlos Rodríguez;Marcos Baez;Florian Daniel;Fabio Casati

  • Business Compliance Governance in Service-Oriented Architectures

    Florian Daniel;Fabio Casati;Vincenzo D'Andrea;Emmanuel Mulo

  • Enabling end user development through mashups: requirements, abstractions and innovation toolkits

    Cinzia Cappiello;Florian Daniel;Maristella Matera;Matteo Picozzi

  • Process-based design and integration of wireless sensor network applications

    Stefano Tranquillini;Patrik Spieß;Florian Daniel;Stamatis Karnouskos

  • Optimization of multi-domain queries on the web

    Daniele Braga;Stefano Ceri;Florian Daniel;Davide Martinenghi

  • A Quality Model for Mashup Components

    Cinzia Cappiello;Florian Daniel;Maristella Matera

  • Information Quality in Mashups

    Cinzia Cappiello;Florian Daniel;Maristella Matera;Cesare Pautasso

  • Mashing Up Search Services

    D. Braga;S. Ceri;F. Daniel;D. Martinenghi

  • Modeling, Enacting, and Integrating Custom Crowdsourcing Processes

    Stefano Tranquillini;Florian Daniel;Pavel Kucherbaev;Fabio Casati

  • Web Services Foundations

    Athman Bouguettaya;Quan Z. Sheng;Florian Daniel

  • Blockchains for Business Process Management - Challenges and Opportunities

    Jan Mendling;Ingo Weber;Wil van der Aalst;Jan vom Brocke

Frequent Co-Authors

Fabio Casati
Fabio Casati University of Trento
Stefano Ceri
Stefano Ceri Polytechnic University of Milan
thiemo voigt
thiemo voigt Uppsala University
Gian Pietro Picco
Gian Pietro Picco University of Trento
Boualem Benatallah
Boualem Benatallah Dublin City University
Kay Römer
Kay Römer Graz University of Technology
Stamatis Karnouskos
Stamatis Karnouskos Systems, Applications & Products in Data Processing (Germany)
Peter Dolog
Peter Dolog Aalborg University
Marco Brambilla
Marco Brambilla Polytechnic University of Milan
Frank Leymann
Frank Leymann University of Stuttgart

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