World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
4681
World Ranking
13564
National Ranking
123

Maria Paasivaara 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 Maria Paasivaara 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: 110 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Maria Paasivaara 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 Maria Paasivaara 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Maria Paasivaara is affiliated with Lappeenranta University of Technology in Finland. Their research primarily focuses on software engineering, particularly in the context of agile software development and its organizational and technical aspects.

Their recent publications include the following notable papers:

  • Finding the sweet spot for organizational control and team autonomy in large-scale agile software development, 2021, Empirical Software Engineering
  • Revealing the state of the art of large-scale agile development research: A systematic mapping study, 2022, Journal of Systems and Software
  • The journey to technical excellence in agile software development, 2022, Information and Software Technology
  • How Do Agile Practitioners Interpret and Foster "Technical Excellence"?, 2021, Evaluation and Assessment in Software Engineering
  • Theories in Agile Software Development: Past, Present, and Future Introduction to the XP 2020 Special Section, 2022, Information and Software Technology

Their frequent co-authors include:

  • Abheeshta Putta
  • Casper Lassenius
  • Ömer Uludağ
  • Florian Matthes
  • Viktoria Stray

Maria Paasivaara has published multiple works in respected venues, with recurring contributions in:

  • Empirical Software Engineering
  • Information and Software Technology
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Systems and Software

They have also contributed to book publications through Springer Science+Business Media, including:

  • Agile Processes in Software Engineering and Extreme Programming, 2020
  • Agile Processes in Software Engineering and Extreme Programming, 2022
  • Agile Processes in Software Engineering and Extreme Programming - Workshops, 2025

The main fields of study for their research span:

  • Computer Science
  • Business, Management and Accounting

Within these fields, their work covers several subfields such as:

  • Information Systems
  • Computer Networks and Communications
  • Management of Technology and Innovation
  • Computer Science Applications
  • Management Information Systems

The research topics most frequently addressed include:

  • Software Engineering Techniques and Practices
  • Software Engineering Research
  • Software System Performance and Reliability
  • Collaboration in agile enterprises
  • Systems Engineering Methodologies and Applications
  • Information Technology Governance and Strategy
  • Information Systems Theories and Implementation

Best Publications

  • Challenges and success factors for large-scale agile transformations

    Kim Dikert;Maria Paasivaara;Casper Lassenius

  • Using Scrum in Distributed Agile Development: A Multiple Case Study

    Maria Paasivaara;Sandra Durasiewicz;Casper Lassenius

  • Communities of practice in a large distributed agile software development organization – Case Ericsson

    Maria Paasivaara;Casper Lassenius

  • Large-scale agile transformation at Ericsson: a case study

    Maria Paasivaara;Benjamin Behm;Casper Lassenius;Minna Hallikainen

  • Collaboration Practices in Global Inter-organizational Software Development Projects

    Maria Paasivaara;Casper Lassenius

  • Scaling Agile

    Christof Ebert;Maria Paasivaara

  • Distributed Agile Development: Using Scrum in a Large Project

    M. Paasivaara;S. Durasiewicz;C. Lassenius

  • Finding Collaborative Innovation Networks Through Correlating Performance with Social Network Structure

    Peter Gloor;Maria Paasivaara;Detlef Schoder;Paul Willems

  • Inter-team coordination in large-scale globally distributed scrum: do scrum-of-scrums really work?

    Maria Paasivaara;Casper Lassenius;Ville T. Heikkilä

  • Could Global Software Development Benefit from Agile Methods

    Maria Paasivaara;Casper Lassenius

  • A Mapping Study on Requirements Engineering in Agile Software Development

    Ville T. Heikkila;Daniela Damian;Casper Lassenius;Maria Paasivaara

  • Adopting SAFe to scale agile in a globally distributed organization

    Maria Paasivaara

  • Using scrum in a globally distributed project: a case study

    Maria Paasivaara;Sandra Durasiewicz;Casper Lassenius

  • Using scrum in a globally distributed project: a case study

    Unknown

  • Teaching students scrum using LEGO blocks

    Maria Paasivaara;Ville Heikkilä;Casper Lassenius;Towo Toivola

  • Managing the requirements flow from strategy to release in large-scale agile development: a case study at Ericsson

    Ville T. Heikkilä;Maria Paasivaara;Casper Lasssenius;Daniela Damian

  • Operational release planning in large-scale Scrum with multiple stakeholders – A longitudinal case study at F-Secure Corporation

    Ville T. Heikkilä;Maria Paasivaara;Kristian Rautiainen;Casper Lassenius

  • Teaching students global software engineering skills using distributed scrum

    Maria Paasivaara;Casper Lassenius;Daniela Damian;Petteri Raty

  • Scaling Scrum in a Large Globally Distributed Organization: A Case Study

    Maria Paasivaara;Casper Lassenius

  • Benefits and challenges of adopting the Scaled Agile Framework (SAFe): Preliminary results from a multivocal literature review

    Abheeshta Putta;Maria Paasivaara;Casper Lassenius

  • Scaling Scrum in a Large Distributed Project

    Maria Paasivaara;Casper Lassenius

  • Finding the sweet spot for organizational control and team autonomy in large-scale agile software development

    Nils Brede Moe;Nils Brede Moe;Darja Šmite;Darja Šmite;Maria Paasivaara;Maria Paasivaara;Casper Lassenius

  • Challenges and Success Factors for Large-scale Agile Transformations: A Research Proposal and a Pilot Study

    Maria Paasivaara;Casper Lassenius

Frequent Co-Authors

Casper Lassenius
Casper Lassenius Aalto University
Daniela Damian
Daniela Damian University of Victoria
Philippe Kruchten
Philippe Kruchten University of British Columbia
Florian Matthes
Florian Matthes Technical University of Munich
Jürgen Münch
Jürgen Münch Reutlingen University
Jeffrey C. Carver
Jeffrey C. Carver University of Alabama
Rashina Hoda
Rashina Hoda Monash University
Birgit Penzenstadler
Birgit Penzenstadler Chalmers University of Technology

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

Studying Computer Science in the USA unlocks numerous opportunities in tech and engineering. However, related online degrees can broaden your skills and career options even further. For example, those interested in sustainability and infrastructure may consider an online environmental engineering degree science and engineering. This pathway is ideal for students who want to blend technology with environmental problem-solving.

If you prefer applying science to design and innovation, an online degree for mechanical engineering delivers key skills in mechanics, thermodynamics, and manufacturing. Similarly, foundational science remains critical for many tech roles, making the bachelor of science in physics online another versatile option for analytical thinkers.

With data driving modern industries, the need for data specialists is soaring. A data scientist degree prepares graduates for high-paying positions in analytics, AI, and machine learning. Exploring these related online degrees can help you find a rewarding career path that aligns with your unique interests and goals.

Best Scientists Citing Maria Paasivaara

Trending Scientists

Recently Published Articles