Ingrid Graz

6.9k citations
53 papers · 6.0k indexed · 3 hit papers · h-index 25

Ingrid Graz

52 papers receiving 5.9k citations

Hit Papers

Ultrathin, highly flexible and stretchable PLEDs814201320262017202150010001.5k2.0k

Peers

Ingrid Graz
Comparison fields: 5 of 129
  • Polymers and Plastics 2.3k
  • Biomedical Engineering 4.7k
  • Cognitive Neuroscience 1.2k
  • Electrical and Electronic Engineering 2.5k
  • Bioengineering 234
Replace Ja Hoon Koo with:
Ja Hoon Koo South Korea
Jaewan Mun United States
Kailun Xia China
Francisco Molina‐Lopez Switzerland
Sunghoon Lee Japan
Jaemin Kim South Korea
Vivian R. Feig United States
Youngjun Yun South Korea
Suji Choi South Korea
Michael Drack Austria
Ingrid Graz relative to Ja Hoon Koo South Korea Ja Hoon Koo's profile →
Citations per field
00.5×1.5×2.4×
Ja Hoon Koo · 1×
Citations per year

Countries citing papers authored by Ingrid Graz

Since Specialization
Citations

This map shows the geographic impact of Ingrid Graz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ingrid Graz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingrid Graz more than expected).

Fields of papers citing papers by Ingrid Graz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingrid Graz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ingrid Graz. The network helps show where Ingrid Graz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ingrid Graz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ingrid Graz Line = papers co-authored together Ingrid Graz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20244
4 20217
5 202130
6 202011
7 201813
8 201393
9
An ultra-lightweight design for imperceptible plastic electronicsbreakdown →
20132120
10 201111
11 201154
12 200929
13 200946
14 2007169
15 200613
16 20062
17 20041
18 200353
19 200367
20 200273

About Ingrid Graz

Ingrid Graz is a scholar working on Polymers and Plastics, Biomedical Engineering, Surfaces, Coatings and Films, Bioengineering and Cognitive Neuroscience, having authored 53 papers that have together received 6.0k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (37 papers), Dielectric materials and actuators (15 papers), Advanced Materials and Mechanics (10 papers), Conducting polymers and applications (10 papers), Tactile and Sensory Interactions (8 papers), Organic Electronics and Photovoltaics (6 papers), High voltage insulation and dielectric phenomena (5 papers) and Polymer composites and self-healing (4 papers). The work is most often cited by research in Polymers and Plastics (2.3k citations), Biomedical Engineering (4.7k citations), Cognitive Neuroscience (1.2k citations), Electrical and Electronic Engineering (2.5k citations) and Bioengineering (234 citations). Ingrid Graz has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Siegfried Bauer, Martin Kaltenbrunner, Reinhard Schwödiauer, S. Bauer‐Gogonea, Stéphanie P. Lacour, Tsuyoshi Sekitani, Takao Someya, Michael Drack, Darryl Cotton and Christoph Keplinger. Their work appears in journals such as Applied Physics Letters, Advanced Materials, Macromolecular Materials and Engineering, Smart Materials and Structures and Journal of Applied Physics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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