Ioanna Lykourentzou

About Ioanna Lykourentzou

Ioanna Lykourentzou, With an exceptional h-index of 24 and a recent h-index of 17 (since 2020), a distinguished researcher at Universiteit Utrecht, specializes in the field of Collective intelligence, crowdsourcing, computer-supported cooperative work, physical/virtual crowd systems, crowd simulations.

His recent articles reflect a diverse array of research interests and contributions to the field:

Past Meets Future: Human-AI Interaction for Digital History and Cultural Heritage

Archaeological trails and contemporary art: soundscapes for visually impaired visitors

Mobile and Multimodal HCI Design Approaches in Museums for People with Impairments

TONIC: A teamwork simulator and digital twin for organizational innovation challenges

Tasks of a Different Color: How Crowdsourcing Practices Differ per Complex Task Type and Why This Matters

Self-organization in online collaborative work settings

The dawn of crowdfarms

GMAP 2022: Workshop on Group Modeling, Adaptation and Personalization

Ioanna Lykourentzou Information

University

Position

Assistant Professor

Citations(all)

2395

Citations(since 2020)

1366

Cited By

1564

hIndex(all)

24

hIndex(since 2020)

17

i10Index(all)

43

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Ioanna Lykourentzou Skills & Research Interests

Collective intelligence

crowdsourcing

computer-supported cooperative work

physical/virtual crowd systems

crowd simulations

Top articles of Ioanna Lykourentzou

Past Meets Future: Human-AI Interaction for Digital History and Cultural Heritage

2024/3/18

Archaeological trails and contemporary art: soundscapes for visually impaired visitors

2024

Ioanna Lykourentzou
Ioanna Lykourentzou

H-Index: 16

Heng Gu
Heng Gu

H-Index: 4

TONIC: A teamwork simulator and digital twin for organizational innovation challenges

2023/7/5

Ioanna Lykourentzou
Ioanna Lykourentzou

H-Index: 16

Tasks of a Different Color: How Crowdsourcing Practices Differ per Complex Task Type and Why This Matters

2023/4/19

Self-organization in online collaborative work settings

Collective Intelligence

2022/8/22

The dawn of crowdfarms

Communications of the ACM

2022/7/21

GMAP 2022: Workshop on Group Modeling, Adaptation and Personalization

2022/7/4

The impact of digital nudging techniques on the formation of self-assembled crowd project teams

2022/7/4

Ioanna Lykourentzou
Ioanna Lykourentzou

H-Index: 16

Judith Masthoff
Judith Masthoff

H-Index: 23

How Personality and Communication Patterns Affect Online ad-hoc Teams Under Pressure

Frontiers in Artificial Intelligence

2022/5/27

Crowdsourcing team formation with worker-centered modeling

Frontiers in Artificial Intelligence

2022/5/27

Metaverse: The vision for the future

2022/4/27

Unleashing the potential of crowd work: the need for a post-Taylorism crowdsourcing model

M@ n@ gement

2022

Ioanna Lykourentzou
Ioanna Lykourentzou

H-Index: 16

Users' Preferences of Profiling Attributes on Crowdsourcing Team Formation Systems

2021/11/4

Locating identities in time: an examination of the formation and impact of temporality on presentations of the self through location-based social networks

ACM Transactions on Social Computing (TSC)

2021/10/8

" What Artists Want": Elicitation of Artist Requirements to Feed the Design on a New Collaboration Platform for Creative Work

arXiv preprint arXiv:2110.02930

2021/10/6

Ioanna Lykourentzou
Ioanna Lykourentzou

H-Index: 16

Antonios Liapis
Antonios Liapis

H-Index: 24

Reconsidering end-user development definitions

2021/6/24

Ioanna Lykourentzou
Ioanna Lykourentzou

H-Index: 16

Panos Markopoulos
Panos Markopoulos

H-Index: 28

Introduction to the Special Issue on “Culture Games”

2021/5/28

An examination of the work practices of crowdfarms

2021/5/6

Self-organizing teams in online work settings

arXiv preprint arXiv:2102.07421

2021/2/15

See List of Professors in Ioanna Lykourentzou University(Universiteit Utrecht)