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

Ntaflos, Theodoros

  • Google
  • 2
  • 9
  • 10

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2019TETGAR_C: a novel three-dimensional (3D) provenance plot and calculation tool for detrital garnets3citations
  • 2013Volcanic glass under fire - a comparison of three complementary analytical methods7citations

Places of action

Chart of shared publication
Lee, Eun Young
1 / 1 shared
Kiraly, Franz
1 / 2 shared
Knierzinger, Wolfgang
1 / 1 shared
Wagreich, Michael
1 / 1 shared
Neelmeijer, Christian
1 / 1 shared
Sterba, Johannes H.
1 / 3 shared
Eder, Fabienne M.
1 / 1 shared
Bichler, Max
1 / 1 shared
Merchel, Silke
1 / 3 shared
Chart of publication period
2019
2013

Co-Authors (by relevance)

  • Lee, Eun Young
  • Kiraly, Franz
  • Knierzinger, Wolfgang
  • Wagreich, Michael
  • Neelmeijer, Christian
  • Sterba, Johannes H.
  • Eder, Fabienne M.
  • Bichler, Max
  • Merchel, Silke
OrganizationsLocationPeople

article

TETGAR_C: a novel three-dimensional (3D) provenance plot and calculation tool for detrital garnets

  • Ntaflos, Theodoros
  • Lee, Eun Young
  • Kiraly, Franz
  • Knierzinger, Wolfgang
  • Wagreich, Michael
Abstract

This paper presents a new interactive MATLAB-based visualization and calculation tool (TETGAR_C) for assessing the<br/>provenance of detrital garnets in a four-component (tetrahedral) plot system (almandine–pyrope–grossular–spessartine).<br/>Based on a freely-accessible database and additional electron-microprobe data, the chemistry of more than 2,600 garnet<br/>samples was evaluated and used to create various subfields in the tetrahedron that correspond to calc-silicate rocks, felsic<br/>igneous rocks (granites and pegmatites) as well as metasedimentary and metaigneous rocks of various metamorphic<br/>grades. These subfields act as reference structures facilitating assignments of garnet chemistries to source lithologies.<br/>An integrated function calculates whether a point is located in a subfield or not. Moreover, TETGAR_C determines<br/>the distance to the closest subfield’s mean value. Compared with conventional ternary garnet discrimination diagrams,<br/>this provenance tool enables a more accurate assessment of potential source rocks by reducing the overlap of specific<br/>subfields and offering quantitative testing of garnet compositions. In particular, a much clearer distinction between<br/>garnets from greenschist-facies rocks, amphibolite-facies rocks, blueschist-facies rocks and felsic igneous rocks is<br/>achieved. Moreover, TETGAR_C enables a distinction between garnet grains with metaigneous and metasedimentary<br/>provenance. In general, metaigneous garnet tends to have higher grossular content than metasedimentary garnet formed<br/>under similar P–T conditions.

Topics
  • impedance spectroscopy
  • grain