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

Velupillai, Sumithra

  • Google
  • 2
  • 22
  • 67

King's College London

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2019Risk Assessment Tools and Data-driven Approaches for Predicting and Preventing Suicidal Behaviour67citations
  • 2011Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies.citations

Places of action

Chart of shared publication
Leightley, Daniel
1 / 1 shared
Patel, Rashmi
1 / 3 shared
Downs, Johnny
1 / 1 shared
Werbeloff, Nomi
1 / 1 shared
Dutta, Rina
1 / 1 shared
Gorrell, Genevieve
1 / 2 shared
Baca-Garcia, Enrique
1 / 1 shared
Hadlaczky, Gergö
1 / 1 shared
Hotopf, Matthew
1 / 1 shared
Nguyen, Dong
1 / 1 shared
Skeppstedt, Maria
1 / 1 shared
Salanterä, Sanna
1 / 1 shared
Carlsson, Elin
1 / 1 shared
Allvin, Helen
1 / 1 shared
Nytrø, Øystein
1 / 2 shared
Hassel, Martin
1 / 1 shared
Daudaravičius, Vidas
1 / 1 shared
Danielsson-Ojala, Riitta
1 / 1 shared
Dalianis, Hercules
1 / 1 shared
Nilsson, Gunnar H.
1 / 1 shared
Lundgrén-Laine, Heljä
1 / 1 shared
Kokkinakis, Dimitrios
1 / 1 shared
Chart of publication period
2019
2011

Co-Authors (by relevance)

  • Leightley, Daniel
  • Patel, Rashmi
  • Downs, Johnny
  • Werbeloff, Nomi
  • Dutta, Rina
  • Gorrell, Genevieve
  • Baca-Garcia, Enrique
  • Hadlaczky, Gergö
  • Hotopf, Matthew
  • Nguyen, Dong
  • Skeppstedt, Maria
  • Salanterä, Sanna
  • Carlsson, Elin
  • Allvin, Helen
  • Nytrø, Øystein
  • Hassel, Martin
  • Daudaravičius, Vidas
  • Danielsson-Ojala, Riitta
  • Dalianis, Hercules
  • Nilsson, Gunnar H.
  • Lundgrén-Laine, Heljä
  • Kokkinakis, Dimitrios
OrganizationsLocationPeople

article

Characteristics of Finnish and Swedish intensive care nursing narratives: a comparative analysis to support the development of clinical language technologies.

  • Skeppstedt, Maria
  • Velupillai, Sumithra
  • Salanterä, Sanna
  • Carlsson, Elin
  • Allvin, Helen
  • Nytrø, Øystein
  • Hassel, Martin
  • Daudaravičius, Vidas
  • Danielsson-Ojala, Riitta
  • Dalianis, Hercules
  • Nilsson, Gunnar H.
  • Lundgrén-Laine, Heljä
  • Kokkinakis, Dimitrios
Abstract

<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Free text is helpful for entering information into electronic health records, but reusing it is a challenge. The need for language technology for processing Finnish and Swedish healthcare text is therefore evident; however, Finnish and Swedish are linguistically very dissimilar. In this paper we present a comparison of characteristics in Finnish and Swedish free-text nursing narratives from intensive care. This creates a framework for characterising and comparing clinical text and lays the groundwork for developing clinical language technologies.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Our material included daily nursing narratives from one intensive care unit in Finland and one in Sweden. Inclusion criteria for patients were an inpatient period of least five days and an age of at least 16 years. We performed a comparative analysis as part of a collaborative effort between Finnish- and Swedish-speaking healthcare and language technology professionals that included both qualitative and quantitative aspects. The qualitative analysis addressed the content and structure of three average-sized health records from each country. In the quantitative analysis 514 Finnish and 379 Swedish health records were studied using various language technology tools.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Although the two languages are not closely related, nursing narratives in Finland and Sweden had many properties in common. Both made use of specialised jargon and their content was very similar. However, many of these characteristics were challenging regarding development of language technology to support producing and using clinical documentation.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The way Finnish and Swedish intensive care nursing was documented, was not country or language dependent, but shared a common context, principles and structural features and even similar vocabulary elements. Technology solutions are therefore likely to be applicable to a wider range of natural languages, but they need linguistic tailoring.</AbstractText><AbstractText Label="AVAILABILITY" NlmCategory="BACKGROUND">The Finnish and Swedish data can be found at: http://www.dsv.su.se/hexanord/data/.</AbstractText>

Topics
  • impedance spectroscopy
  • inclusion
  • quantitative determination method