Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

×

Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Serrano, Carlos

  • Google
  • 1
  • 2
  • 60

Vrije Universiteit Amsterdam

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2020First experiences with patient-centered training in virtual reality60citations

Places of action

Chart of shared publication
Wesselink, P. R.
1 / 2 shared
Vervoorn, J. M.
1 / 1 shared
Chart of publication period
2020

Co-Authors (by relevance)

  • Wesselink, P. R.
  • Vervoorn, J. M.
OrganizationsLocationPeople

article

First experiences with patient-centered training in virtual reality

  • Wesselink, P. R.
  • Vervoorn, J. M.
  • Serrano, Carlos
Abstract

<p>Context: In preclinical dental education, plastic and extracted teeth have been broadly used for skills training without specific focus on the patient behind the procedure. A patient-centered approach remains challenging in traditional simulation, which does not resemble realistic clinical situations. Objective: This article describes the development and first experiences with a patient-centered virtual reality training module (PC-VR) that allows dental care providers to prepare, beforehand and in virtual reality (VR), specific procedures required by their patients. Experiences with this patient-centered practice are described to reflect on its value for clinical training in dentistry. Design: Using an intraoral scanner, digital impressions of 10 patients were made; these served as stereolithography (STL) digital files, which were converted into volumetric haptic models for display in a VR dental simulator. In this study, students’ experiences were investigated through a short open-answer survey in 2018. Atlas.ti was used for qualitative analysis of the answers through the inductive methodology of the grounded theory approach. Results: Drillable virtual models of real patients were made available for training using VR. Inductive analysis of the experiences identified 5 dimensions describing the main features of PC-VR: added value, competence development, self-efficacy, outcomes, and room for development. Conclusion: This article provides a general overview of the possibilities and challenges of the implementation PC-VR in dental education. Although concrete effects on trainees’ self-confidence and performance are yet to be determined, all participants appreciated the opportunity to explore clinical situations before experiencing them in the context of a real patient.</p>

Topics
  • polymer
  • theory
  • simulation